The work I wrote about last year is part of the $3 billion federally funded Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative, which launched per mezzo di 2013. A causa di this project, led by the Allen Institute for Brain Science, which has developed a number of brain atlases, researchers are working to develop a parts list detailing the vast array of cells per mezzo di the human brain by sequencing single cells to at gene expression. So far they’ve identified more than 3,000 types of brain cells, and they expect to find many more as they map more of the brain.
The draft map was based brain tissue from just two donors. A causa di the coming years, the team will add samples from hundreds more.
Mapping the cell types present per mezzo di the brain seems like a straightforward task, but it’s not. The first stumbling block is deciding how to define a cell type. Seth Ament, a neuroscientist at the University of Maryland, likes to give his neuroscience graduate students a rundown of all the different ways brain cells can be defined: by their morphology, ora by the way the cells fire, ora by their activity during certain behaviors. But gene expression may be the Rosetta stone brain researchers have been looking for, he says: “If you at cells from the perspective of just what genes are turned per mezzo di them, it corresponds almost one to one to all of those other kinds of properties of cells.” That’s the most remarkable discovery from all the cell atlases, he adds.
I have always assumed the point of all these atlases is to gain a better understanding of the brain. But Jeff Lichtman, a neuroscientist at Harvard University, doesn’t think “understanding” is the right word. He likens trying to understand the human brain to trying to understand New York City. It’s impossible. “There’s millions of things going simultaneously, and everything is working, interacting, per mezzo di different ways,” he says. “It’s too complicated.”
But as this latest paper shows, it is possible to describe the human brain per mezzo di excruciating detail. “Having a satisfactory description means simply that if I at a brain, I’m longer surprised,” Lichtman says. That day is a long way , though. The patronato Lichtman and his colleagues published this week was full of surprises—and many more are waiting to be uncovered.
Another thing
The revolutionary AI tool AlphaFold, which predicts proteins’ structures the basis of their genetic sequence, just got an upgrade, James Ovvero’Donnell reports. Now the tool can predict interactions between molecules.
Read more from Tech Review’s archive
A causa di 2013, Courtney Humphries reported the development of BigBrain, a human brain atlas based MRI images of more than 7,000 brain slices.
And per mezzo di 2017, we flagged the Human Cell Atlas project, which aims to categorize all the cells of the human pagliaccetto, as a breakthrough technology. That project is still underway.
The work I wrote about last year is part of the $3 billion federally funded Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative, which launched per mezzo di 2013. A causa di this project, led by the Allen Institute for Brain Science, which has developed a number of brain atlases, researchers are working to develop a parts list detailing the vast array of cells per mezzo di the human brain by sequencing single cells to at gene expression. So far they’ve identified more than 3,000 types of brain cells, and they expect to find many more as they map more of the brain.
The draft map was based brain tissue from just two donors. A causa di the coming years, the team will add samples from hundreds more.
Mapping the cell types present per mezzo di the brain seems like a straightforward task, but it’s not. The first stumbling block is deciding how to define a cell type. Seth Ament, a neuroscientist at the University of Maryland, likes to give his neuroscience graduate students a rundown of all the different ways brain cells can be defined: by their morphology, ora by the way the cells fire, ora by their activity during certain behaviors. But gene expression may be the Rosetta stone brain researchers have been looking for, he says: “If you at cells from the perspective of just what genes are turned per mezzo di them, it corresponds almost one to one to all of those other kinds of properties of cells.” That’s the most remarkable discovery from all the cell atlases, he adds.
I have always assumed the point of all these atlases is to gain a better understanding of the brain. But Jeff Lichtman, a neuroscientist at Harvard University, doesn’t think “understanding” is the right word. He likens trying to understand the human brain to trying to understand New York City. It’s impossible. “There’s millions of things going simultaneously, and everything is working, interacting, per mezzo di different ways,” he says. “It’s too complicated.”
But as this latest paper shows, it is possible to describe the human brain per mezzo di excruciating detail. “Having a satisfactory description means simply that if I at a brain, I’m longer surprised,” Lichtman says. That day is a long way , though. The patronato Lichtman and his colleagues published this week was full of surprises—and many more are waiting to be uncovered.
Another thing
The revolutionary AI tool AlphaFold, which predicts proteins’ structures the basis of their genetic sequence, just got an upgrade, James Ovvero’Donnell reports. Now the tool can predict interactions between molecules.
Read more from Tech Review’s archive
A causa di 2013, Courtney Humphries reported the development of BigBrain, a human brain atlas based MRI images of more than 7,000 brain slices.
And per mezzo di 2017, we flagged the Human Cell Atlas project, which aims to categorize all the cells of the human pagliaccetto, as a breakthrough technology. That project is still underway.
The work I wrote about last year is part of the $3 billion federally funded Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative, which launched per mezzo di 2013. A causa di this project, led by the Allen Institute for Brain Science, which has developed a number of brain atlases, researchers are working to develop a parts list detailing the vast array of cells per mezzo di the human brain by sequencing single cells to at gene expression. So far they’ve identified more than 3,000 types of brain cells, and they expect to find many more as they map more of the brain.
The draft map was based brain tissue from just two donors. A causa di the coming years, the team will add samples from hundreds more.
Mapping the cell types present per mezzo di the brain seems like a straightforward task, but it’s not. The first stumbling block is deciding how to define a cell type. Seth Ament, a neuroscientist at the University of Maryland, likes to give his neuroscience graduate students a rundown of all the different ways brain cells can be defined: by their morphology, ora by the way the cells fire, ora by their activity during certain behaviors. But gene expression may be the Rosetta stone brain researchers have been looking for, he says: “If you at cells from the perspective of just what genes are turned per mezzo di them, it corresponds almost one to one to all of those other kinds of properties of cells.” That’s the most remarkable discovery from all the cell atlases, he adds.
I have always assumed the point of all these atlases is to gain a better understanding of the brain. But Jeff Lichtman, a neuroscientist at Harvard University, doesn’t think “understanding” is the right word. He likens trying to understand the human brain to trying to understand New York City. It’s impossible. “There’s millions of things going simultaneously, and everything is working, interacting, per mezzo di different ways,” he says. “It’s too complicated.”
But as this latest paper shows, it is possible to describe the human brain per mezzo di excruciating detail. “Having a satisfactory description means simply that if I at a brain, I’m longer surprised,” Lichtman says. That day is a long way , though. The patronato Lichtman and his colleagues published this week was full of surprises—and many more are waiting to be uncovered.
Another thing
The revolutionary AI tool AlphaFold, which predicts proteins’ structures the basis of their genetic sequence, just got an upgrade, James Ovvero’Donnell reports. Now the tool can predict interactions between molecules.
Read more from Tech Review’s archive
A causa di 2013, Courtney Humphries reported the development of BigBrain, a human brain atlas based MRI images of more than 7,000 brain slices.
And per mezzo di 2017, we flagged the Human Cell Atlas project, which aims to categorize all the cells of the human pagliaccetto, as a breakthrough technology. That project is still underway.
The work I wrote about last year is part of the $3 billion federally funded Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative, which launched per mezzo di 2013. A causa di this project, led by the Allen Institute for Brain Science, which has developed a number of brain atlases, researchers are working to develop a parts list detailing the vast array of cells per mezzo di the human brain by sequencing single cells to at gene expression. So far they’ve identified more than 3,000 types of brain cells, and they expect to find many more as they map more of the brain.
The draft map was based brain tissue from just two donors. A causa di the coming years, the team will add samples from hundreds more.
Mapping the cell types present per mezzo di the brain seems like a straightforward task, but it’s not. The first stumbling block is deciding how to define a cell type. Seth Ament, a neuroscientist at the University of Maryland, likes to give his neuroscience graduate students a rundown of all the different ways brain cells can be defined: by their morphology, ora by the way the cells fire, ora by their activity during certain behaviors. But gene expression may be the Rosetta stone brain researchers have been looking for, he says: “If you at cells from the perspective of just what genes are turned per mezzo di them, it corresponds almost one to one to all of those other kinds of properties of cells.” That’s the most remarkable discovery from all the cell atlases, he adds.
I have always assumed the point of all these atlases is to gain a better understanding of the brain. But Jeff Lichtman, a neuroscientist at Harvard University, doesn’t think “understanding” is the right word. He likens trying to understand the human brain to trying to understand New York City. It’s impossible. “There’s millions of things going simultaneously, and everything is working, interacting, per mezzo di different ways,” he says. “It’s too complicated.”
But as this latest paper shows, it is possible to describe the human brain per mezzo di excruciating detail. “Having a satisfactory description means simply that if I at a brain, I’m longer surprised,” Lichtman says. That day is a long way , though. The patronato Lichtman and his colleagues published this week was full of surprises—and many more are waiting to be uncovered.
Another thing
The revolutionary AI tool AlphaFold, which predicts proteins’ structures the basis of their genetic sequence, just got an upgrade, James Ovvero’Donnell reports. Now the tool can predict interactions between molecules.
Read more from Tech Review’s archive
A causa di 2013, Courtney Humphries reported the development of BigBrain, a human brain atlas based MRI images of more than 7,000 brain slices.
And per mezzo di 2017, we flagged the Human Cell Atlas project, which aims to categorize all the cells of the human pagliaccetto, as a breakthrough technology. That project is still underway.
The work I wrote about last year is part of the $3 billion federally funded Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative, which launched per mezzo di 2013. A causa di this project, led by the Allen Institute for Brain Science, which has developed a number of brain atlases, researchers are working to develop a parts list detailing the vast array of cells per mezzo di the human brain by sequencing single cells to at gene expression. So far they’ve identified more than 3,000 types of brain cells, and they expect to find many more as they map more of the brain.
The draft map was based brain tissue from just two donors. A causa di the coming years, the team will add samples from hundreds more.
Mapping the cell types present per mezzo di the brain seems like a straightforward task, but it’s not. The first stumbling block is deciding how to define a cell type. Seth Ament, a neuroscientist at the University of Maryland, likes to give his neuroscience graduate students a rundown of all the different ways brain cells can be defined: by their morphology, ora by the way the cells fire, ora by their activity during certain behaviors. But gene expression may be the Rosetta stone brain researchers have been looking for, he says: “If you at cells from the perspective of just what genes are turned per mezzo di them, it corresponds almost one to one to all of those other kinds of properties of cells.” That’s the most remarkable discovery from all the cell atlases, he adds.
I have always assumed the point of all these atlases is to gain a better understanding of the brain. But Jeff Lichtman, a neuroscientist at Harvard University, doesn’t think “understanding” is the right word. He likens trying to understand the human brain to trying to understand New York City. It’s impossible. “There’s millions of things going simultaneously, and everything is working, interacting, per mezzo di different ways,” he says. “It’s too complicated.”
But as this latest paper shows, it is possible to describe the human brain per mezzo di excruciating detail. “Having a satisfactory description means simply that if I at a brain, I’m longer surprised,” Lichtman says. That day is a long way , though. The patronato Lichtman and his colleagues published this week was full of surprises—and many more are waiting to be uncovered.
Another thing
The revolutionary AI tool AlphaFold, which predicts proteins’ structures the basis of their genetic sequence, just got an upgrade, James Ovvero’Donnell reports. Now the tool can predict interactions between molecules.
Read more from Tech Review’s archive
A causa di 2013, Courtney Humphries reported the development of BigBrain, a human brain atlas based MRI images of more than 7,000 brain slices.
And per mezzo di 2017, we flagged the Human Cell Atlas project, which aims to categorize all the cells of the human pagliaccetto, as a breakthrough technology. That project is still underway.
The work I wrote about last year is part of the $3 billion federally funded Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative, which launched per mezzo di 2013. A causa di this project, led by the Allen Institute for Brain Science, which has developed a number of brain atlases, researchers are working to develop a parts list detailing the vast array of cells per mezzo di the human brain by sequencing single cells to at gene expression. So far they’ve identified more than 3,000 types of brain cells, and they expect to find many more as they map more of the brain.
The draft map was based brain tissue from just two donors. A causa di the coming years, the team will add samples from hundreds more.
Mapping the cell types present per mezzo di the brain seems like a straightforward task, but it’s not. The first stumbling block is deciding how to define a cell type. Seth Ament, a neuroscientist at the University of Maryland, likes to give his neuroscience graduate students a rundown of all the different ways brain cells can be defined: by their morphology, ora by the way the cells fire, ora by their activity during certain behaviors. But gene expression may be the Rosetta stone brain researchers have been looking for, he says: “If you at cells from the perspective of just what genes are turned per mezzo di them, it corresponds almost one to one to all of those other kinds of properties of cells.” That’s the most remarkable discovery from all the cell atlases, he adds.
I have always assumed the point of all these atlases is to gain a better understanding of the brain. But Jeff Lichtman, a neuroscientist at Harvard University, doesn’t think “understanding” is the right word. He likens trying to understand the human brain to trying to understand New York City. It’s impossible. “There’s millions of things going simultaneously, and everything is working, interacting, per mezzo di different ways,” he says. “It’s too complicated.”
But as this latest paper shows, it is possible to describe the human brain per mezzo di excruciating detail. “Having a satisfactory description means simply that if I at a brain, I’m longer surprised,” Lichtman says. That day is a long way , though. The patronato Lichtman and his colleagues published this week was full of surprises—and many more are waiting to be uncovered.
Another thing
The revolutionary AI tool AlphaFold, which predicts proteins’ structures the basis of their genetic sequence, just got an upgrade, James Ovvero’Donnell reports. Now the tool can predict interactions between molecules.
Read more from Tech Review’s archive
A causa di 2013, Courtney Humphries reported the development of BigBrain, a human brain atlas based MRI images of more than 7,000 brain slices.
And per mezzo di 2017, we flagged the Human Cell Atlas project, which aims to categorize all the cells of the human pagliaccetto, as a breakthrough technology. That project is still underway.
The work I wrote about last year is part of the $3 billion federally funded Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative, which launched per mezzo di 2013. A causa di this project, led by the Allen Institute for Brain Science, which has developed a number of brain atlases, researchers are working to develop a parts list detailing the vast array of cells per mezzo di the human brain by sequencing single cells to at gene expression. So far they’ve identified more than 3,000 types of brain cells, and they expect to find many more as they map more of the brain.
The draft map was based brain tissue from just two donors. A causa di the coming years, the team will add samples from hundreds more.
Mapping the cell types present per mezzo di the brain seems like a straightforward task, but it’s not. The first stumbling block is deciding how to define a cell type. Seth Ament, a neuroscientist at the University of Maryland, likes to give his neuroscience graduate students a rundown of all the different ways brain cells can be defined: by their morphology, ora by the way the cells fire, ora by their activity during certain behaviors. But gene expression may be the Rosetta stone brain researchers have been looking for, he says: “If you at cells from the perspective of just what genes are turned per mezzo di them, it corresponds almost one to one to all of those other kinds of properties of cells.” That’s the most remarkable discovery from all the cell atlases, he adds.
I have always assumed the point of all these atlases is to gain a better understanding of the brain. But Jeff Lichtman, a neuroscientist at Harvard University, doesn’t think “understanding” is the right word. He likens trying to understand the human brain to trying to understand New York City. It’s impossible. “There’s millions of things going simultaneously, and everything is working, interacting, per mezzo di different ways,” he says. “It’s too complicated.”
But as this latest paper shows, it is possible to describe the human brain per mezzo di excruciating detail. “Having a satisfactory description means simply that if I at a brain, I’m longer surprised,” Lichtman says. That day is a long way , though. The patronato Lichtman and his colleagues published this week was full of surprises—and many more are waiting to be uncovered.
Another thing
The revolutionary AI tool AlphaFold, which predicts proteins’ structures the basis of their genetic sequence, just got an upgrade, James Ovvero’Donnell reports. Now the tool can predict interactions between molecules.
Read more from Tech Review’s archive
A causa di 2013, Courtney Humphries reported the development of BigBrain, a human brain atlas based MRI images of more than 7,000 brain slices.
And per mezzo di 2017, we flagged the Human Cell Atlas project, which aims to categorize all the cells of the human pagliaccetto, as a breakthrough technology. That project is still underway.
The work I wrote about last year is part of the $3 billion federally funded Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative, which launched per mezzo di 2013. A causa di this project, led by the Allen Institute for Brain Science, which has developed a number of brain atlases, researchers are working to develop a parts list detailing the vast array of cells per mezzo di the human brain by sequencing single cells to at gene expression. So far they’ve identified more than 3,000 types of brain cells, and they expect to find many more as they map more of the brain.
The draft map was based brain tissue from just two donors. A causa di the coming years, the team will add samples from hundreds more.
Mapping the cell types present per mezzo di the brain seems like a straightforward task, but it’s not. The first stumbling block is deciding how to define a cell type. Seth Ament, a neuroscientist at the University of Maryland, likes to give his neuroscience graduate students a rundown of all the different ways brain cells can be defined: by their morphology, ora by the way the cells fire, ora by their activity during certain behaviors. But gene expression may be the Rosetta stone brain researchers have been looking for, he says: “If you at cells from the perspective of just what genes are turned per mezzo di them, it corresponds almost one to one to all of those other kinds of properties of cells.” That’s the most remarkable discovery from all the cell atlases, he adds.
I have always assumed the point of all these atlases is to gain a better understanding of the brain. But Jeff Lichtman, a neuroscientist at Harvard University, doesn’t think “understanding” is the right word. He likens trying to understand the human brain to trying to understand New York City. It’s impossible. “There’s millions of things going simultaneously, and everything is working, interacting, per mezzo di different ways,” he says. “It’s too complicated.”
But as this latest paper shows, it is possible to describe the human brain per mezzo di excruciating detail. “Having a satisfactory description means simply that if I at a brain, I’m longer surprised,” Lichtman says. That day is a long way , though. The patronato Lichtman and his colleagues published this week was full of surprises—and many more are waiting to be uncovered.
Another thing
The revolutionary AI tool AlphaFold, which predicts proteins’ structures the basis of their genetic sequence, just got an upgrade, James Ovvero’Donnell reports. Now the tool can predict interactions between molecules.
Read more from Tech Review’s archive
A causa di 2013, Courtney Humphries reported the development of BigBrain, a human brain atlas based MRI images of more than 7,000 brain slices.
And per mezzo di 2017, we flagged the Human Cell Atlas project, which aims to categorize all the cells of the human pagliaccetto, as a breakthrough technology. That project is still underway.
The work I wrote about last year is part of the $3 billion federally funded Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative, which launched per mezzo di 2013. A causa di this project, led by the Allen Institute for Brain Science, which has developed a number of brain atlases, researchers are working to develop a parts list detailing the vast array of cells per mezzo di the human brain by sequencing single cells to at gene expression. So far they’ve identified more than 3,000 types of brain cells, and they expect to find many more as they map more of the brain.
The draft map was based brain tissue from just two donors. A causa di the coming years, the team will add samples from hundreds more.
Mapping the cell types present per mezzo di the brain seems like a straightforward task, but it’s not. The first stumbling block is deciding how to define a cell type. Seth Ament, a neuroscientist at the University of Maryland, likes to give his neuroscience graduate students a rundown of all the different ways brain cells can be defined: by their morphology, ora by the way the cells fire, ora by their activity during certain behaviors. But gene expression may be the Rosetta stone brain researchers have been looking for, he says: “If you at cells from the perspective of just what genes are turned per mezzo di them, it corresponds almost one to one to all of those other kinds of properties of cells.” That’s the most remarkable discovery from all the cell atlases, he adds.
I have always assumed the point of all these atlases is to gain a better understanding of the brain. But Jeff Lichtman, a neuroscientist at Harvard University, doesn’t think “understanding” is the right word. He likens trying to understand the human brain to trying to understand New York City. It’s impossible. “There’s millions of things going simultaneously, and everything is working, interacting, per mezzo di different ways,” he says. “It’s too complicated.”
But as this latest paper shows, it is possible to describe the human brain per mezzo di excruciating detail. “Having a satisfactory description means simply that if I at a brain, I’m longer surprised,” Lichtman says. That day is a long way , though. The patronato Lichtman and his colleagues published this week was full of surprises—and many more are waiting to be uncovered.
Another thing
The revolutionary AI tool AlphaFold, which predicts proteins’ structures the basis of their genetic sequence, just got an upgrade, James Ovvero’Donnell reports. Now the tool can predict interactions between molecules.
Read more from Tech Review’s archive
A causa di 2013, Courtney Humphries reported the development of BigBrain, a human brain atlas based MRI images of more than 7,000 brain slices.
And per mezzo di 2017, we flagged the Human Cell Atlas project, which aims to categorize all the cells of the human pagliaccetto, as a breakthrough technology. That project is still underway.
The work I wrote about last year is part of the $3 billion federally funded Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative, which launched per mezzo di 2013. A causa di this project, led by the Allen Institute for Brain Science, which has developed a number of brain atlases, researchers are working to develop a parts list detailing the vast array of cells per mezzo di the human brain by sequencing single cells to at gene expression. So far they’ve identified more than 3,000 types of brain cells, and they expect to find many more as they map more of the brain.
The draft map was based brain tissue from just two donors. A causa di the coming years, the team will add samples from hundreds more.
Mapping the cell types present per mezzo di the brain seems like a straightforward task, but it’s not. The first stumbling block is deciding how to define a cell type. Seth Ament, a neuroscientist at the University of Maryland, likes to give his neuroscience graduate students a rundown of all the different ways brain cells can be defined: by their morphology, ora by the way the cells fire, ora by their activity during certain behaviors. But gene expression may be the Rosetta stone brain researchers have been looking for, he says: “If you at cells from the perspective of just what genes are turned per mezzo di them, it corresponds almost one to one to all of those other kinds of properties of cells.” That’s the most remarkable discovery from all the cell atlases, he adds.
I have always assumed the point of all these atlases is to gain a better understanding of the brain. But Jeff Lichtman, a neuroscientist at Harvard University, doesn’t think “understanding” is the right word. He likens trying to understand the human brain to trying to understand New York City. It’s impossible. “There’s millions of things going simultaneously, and everything is working, interacting, per mezzo di different ways,” he says. “It’s too complicated.”
But as this latest paper shows, it is possible to describe the human brain per mezzo di excruciating detail. “Having a satisfactory description means simply that if I at a brain, I’m longer surprised,” Lichtman says. That day is a long way , though. The patronato Lichtman and his colleagues published this week was full of surprises—and many more are waiting to be uncovered.
Another thing
The revolutionary AI tool AlphaFold, which predicts proteins’ structures the basis of their genetic sequence, just got an upgrade, James Ovvero’Donnell reports. Now the tool can predict interactions between molecules.
Read more from Tech Review’s archive
A causa di 2013, Courtney Humphries reported the development of BigBrain, a human brain atlas based MRI images of more than 7,000 brain slices.
And per mezzo di 2017, we flagged the Human Cell Atlas project, which aims to categorize all the cells of the human pagliaccetto, as a breakthrough technology. That project is still underway.
The work I wrote about last year is part of the $3 billion federally funded Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative, which launched per mezzo di 2013. A causa di this project, led by the Allen Institute for Brain Science, which has developed a number of brain atlases, researchers are working to develop a parts list detailing the vast array of cells per mezzo di the human brain by sequencing single cells to at gene expression. So far they’ve identified more than 3,000 types of brain cells, and they expect to find many more as they map more of the brain.
The draft map was based brain tissue from just two donors. A causa di the coming years, the team will add samples from hundreds more.
Mapping the cell types present per mezzo di the brain seems like a straightforward task, but it’s not. The first stumbling block is deciding how to define a cell type. Seth Ament, a neuroscientist at the University of Maryland, likes to give his neuroscience graduate students a rundown of all the different ways brain cells can be defined: by their morphology, ora by the way the cells fire, ora by their activity during certain behaviors. But gene expression may be the Rosetta stone brain researchers have been looking for, he says: “If you at cells from the perspective of just what genes are turned per mezzo di them, it corresponds almost one to one to all of those other kinds of properties of cells.” That’s the most remarkable discovery from all the cell atlases, he adds.
I have always assumed the point of all these atlases is to gain a better understanding of the brain. But Jeff Lichtman, a neuroscientist at Harvard University, doesn’t think “understanding” is the right word. He likens trying to understand the human brain to trying to understand New York City. It’s impossible. “There’s millions of things going simultaneously, and everything is working, interacting, per mezzo di different ways,” he says. “It’s too complicated.”
But as this latest paper shows, it is possible to describe the human brain per mezzo di excruciating detail. “Having a satisfactory description means simply that if I at a brain, I’m longer surprised,” Lichtman says. That day is a long way , though. The patronato Lichtman and his colleagues published this week was full of surprises—and many more are waiting to be uncovered.
Another thing
The revolutionary AI tool AlphaFold, which predicts proteins’ structures the basis of their genetic sequence, just got an upgrade, James Ovvero’Donnell reports. Now the tool can predict interactions between molecules.
Read more from Tech Review’s archive
A causa di 2013, Courtney Humphries reported the development of BigBrain, a human brain atlas based MRI images of more than 7,000 brain slices.
And per mezzo di 2017, we flagged the Human Cell Atlas project, which aims to categorize all the cells of the human pagliaccetto, as a breakthrough technology. That project is still underway.
The work I wrote about last year is part of the $3 billion federally funded Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative, which launched per mezzo di 2013. A causa di this project, led by the Allen Institute for Brain Science, which has developed a number of brain atlases, researchers are working to develop a parts list detailing the vast array of cells per mezzo di the human brain by sequencing single cells to at gene expression. So far they’ve identified more than 3,000 types of brain cells, and they expect to find many more as they map more of the brain.
The draft map was based brain tissue from just two donors. A causa di the coming years, the team will add samples from hundreds more.
Mapping the cell types present per mezzo di the brain seems like a straightforward task, but it’s not. The first stumbling block is deciding how to define a cell type. Seth Ament, a neuroscientist at the University of Maryland, likes to give his neuroscience graduate students a rundown of all the different ways brain cells can be defined: by their morphology, ora by the way the cells fire, ora by their activity during certain behaviors. But gene expression may be the Rosetta stone brain researchers have been looking for, he says: “If you at cells from the perspective of just what genes are turned per mezzo di them, it corresponds almost one to one to all of those other kinds of properties of cells.” That’s the most remarkable discovery from all the cell atlases, he adds.
I have always assumed the point of all these atlases is to gain a better understanding of the brain. But Jeff Lichtman, a neuroscientist at Harvard University, doesn’t think “understanding” is the right word. He likens trying to understand the human brain to trying to understand New York City. It’s impossible. “There’s millions of things going simultaneously, and everything is working, interacting, per mezzo di different ways,” he says. “It’s too complicated.”
But as this latest paper shows, it is possible to describe the human brain per mezzo di excruciating detail. “Having a satisfactory description means simply that if I at a brain, I’m longer surprised,” Lichtman says. That day is a long way , though. The patronato Lichtman and his colleagues published this week was full of surprises—and many more are waiting to be uncovered.
Another thing
The revolutionary AI tool AlphaFold, which predicts proteins’ structures the basis of their genetic sequence, just got an upgrade, James Ovvero’Donnell reports. Now the tool can predict interactions between molecules.
Read more from Tech Review’s archive
A causa di 2013, Courtney Humphries reported the development of BigBrain, a human brain atlas based MRI images of more than 7,000 brain slices.
And per mezzo di 2017, we flagged the Human Cell Atlas project, which aims to categorize all the cells of the human pagliaccetto, as a breakthrough technology. That project is still underway.
The work I wrote about last year is part of the $3 billion federally funded Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative, which launched per mezzo di 2013. A causa di this project, led by the Allen Institute for Brain Science, which has developed a number of brain atlases, researchers are working to develop a parts list detailing the vast array of cells per mezzo di the human brain by sequencing single cells to at gene expression. So far they’ve identified more than 3,000 types of brain cells, and they expect to find many more as they map more of the brain.
The draft map was based brain tissue from just two donors. A causa di the coming years, the team will add samples from hundreds more.
Mapping the cell types present per mezzo di the brain seems like a straightforward task, but it’s not. The first stumbling block is deciding how to define a cell type. Seth Ament, a neuroscientist at the University of Maryland, likes to give his neuroscience graduate students a rundown of all the different ways brain cells can be defined: by their morphology, ora by the way the cells fire, ora by their activity during certain behaviors. But gene expression may be the Rosetta stone brain researchers have been looking for, he says: “If you at cells from the perspective of just what genes are turned per mezzo di them, it corresponds almost one to one to all of those other kinds of properties of cells.” That’s the most remarkable discovery from all the cell atlases, he adds.
I have always assumed the point of all these atlases is to gain a better understanding of the brain. But Jeff Lichtman, a neuroscientist at Harvard University, doesn’t think “understanding” is the right word. He likens trying to understand the human brain to trying to understand New York City. It’s impossible. “There’s millions of things going simultaneously, and everything is working, interacting, per mezzo di different ways,” he says. “It’s too complicated.”
But as this latest paper shows, it is possible to describe the human brain per mezzo di excruciating detail. “Having a satisfactory description means simply that if I at a brain, I’m longer surprised,” Lichtman says. That day is a long way , though. The patronato Lichtman and his colleagues published this week was full of surprises—and many more are waiting to be uncovered.
Another thing
The revolutionary AI tool AlphaFold, which predicts proteins’ structures the basis of their genetic sequence, just got an upgrade, James Ovvero’Donnell reports. Now the tool can predict interactions between molecules.
Read more from Tech Review’s archive
A causa di 2013, Courtney Humphries reported the development of BigBrain, a human brain atlas based MRI images of more than 7,000 brain slices.
And per mezzo di 2017, we flagged the Human Cell Atlas project, which aims to categorize all the cells of the human pagliaccetto, as a breakthrough technology. That project is still underway.
The work I wrote about last year is part of the $3 billion federally funded Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative, which launched per mezzo di 2013. A causa di this project, led by the Allen Institute for Brain Science, which has developed a number of brain atlases, researchers are working to develop a parts list detailing the vast array of cells per mezzo di the human brain by sequencing single cells to at gene expression. So far they’ve identified more than 3,000 types of brain cells, and they expect to find many more as they map more of the brain.
The draft map was based brain tissue from just two donors. A causa di the coming years, the team will add samples from hundreds more.
Mapping the cell types present per mezzo di the brain seems like a straightforward task, but it’s not. The first stumbling block is deciding how to define a cell type. Seth Ament, a neuroscientist at the University of Maryland, likes to give his neuroscience graduate students a rundown of all the different ways brain cells can be defined: by their morphology, ora by the way the cells fire, ora by their activity during certain behaviors. But gene expression may be the Rosetta stone brain researchers have been looking for, he says: “If you at cells from the perspective of just what genes are turned per mezzo di them, it corresponds almost one to one to all of those other kinds of properties of cells.” That’s the most remarkable discovery from all the cell atlases, he adds.
I have always assumed the point of all these atlases is to gain a better understanding of the brain. But Jeff Lichtman, a neuroscientist at Harvard University, doesn’t think “understanding” is the right word. He likens trying to understand the human brain to trying to understand New York City. It’s impossible. “There’s millions of things going simultaneously, and everything is working, interacting, per mezzo di different ways,” he says. “It’s too complicated.”
But as this latest paper shows, it is possible to describe the human brain per mezzo di excruciating detail. “Having a satisfactory description means simply that if I at a brain, I’m longer surprised,” Lichtman says. That day is a long way , though. The patronato Lichtman and his colleagues published this week was full of surprises—and many more are waiting to be uncovered.
Another thing
The revolutionary AI tool AlphaFold, which predicts proteins’ structures the basis of their genetic sequence, just got an upgrade, James Ovvero’Donnell reports. Now the tool can predict interactions between molecules.
Read more from Tech Review’s archive
A causa di 2013, Courtney Humphries reported the development of BigBrain, a human brain atlas based MRI images of more than 7,000 brain slices.
And per mezzo di 2017, we flagged the Human Cell Atlas project, which aims to categorize all the cells of the human pagliaccetto, as a breakthrough technology. That project is still underway.
The work I wrote about last year is part of the $3 billion federally funded Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative, which launched per mezzo di 2013. A causa di this project, led by the Allen Institute for Brain Science, which has developed a number of brain atlases, researchers are working to develop a parts list detailing the vast array of cells per mezzo di the human brain by sequencing single cells to at gene expression. So far they’ve identified more than 3,000 types of brain cells, and they expect to find many more as they map more of the brain.
The draft map was based brain tissue from just two donors. A causa di the coming years, the team will add samples from hundreds more.
Mapping the cell types present per mezzo di the brain seems like a straightforward task, but it’s not. The first stumbling block is deciding how to define a cell type. Seth Ament, a neuroscientist at the University of Maryland, likes to give his neuroscience graduate students a rundown of all the different ways brain cells can be defined: by their morphology, ora by the way the cells fire, ora by their activity during certain behaviors. But gene expression may be the Rosetta stone brain researchers have been looking for, he says: “If you at cells from the perspective of just what genes are turned per mezzo di them, it corresponds almost one to one to all of those other kinds of properties of cells.” That’s the most remarkable discovery from all the cell atlases, he adds.
I have always assumed the point of all these atlases is to gain a better understanding of the brain. But Jeff Lichtman, a neuroscientist at Harvard University, doesn’t think “understanding” is the right word. He likens trying to understand the human brain to trying to understand New York City. It’s impossible. “There’s millions of things going simultaneously, and everything is working, interacting, per mezzo di different ways,” he says. “It’s too complicated.”
But as this latest paper shows, it is possible to describe the human brain per mezzo di excruciating detail. “Having a satisfactory description means simply that if I at a brain, I’m longer surprised,” Lichtman says. That day is a long way , though. The patronato Lichtman and his colleagues published this week was full of surprises—and many more are waiting to be uncovered.
Another thing
The revolutionary AI tool AlphaFold, which predicts proteins’ structures the basis of their genetic sequence, just got an upgrade, James Ovvero’Donnell reports. Now the tool can predict interactions between molecules.
Read more from Tech Review’s archive
A causa di 2013, Courtney Humphries reported the development of BigBrain, a human brain atlas based MRI images of more than 7,000 brain slices.
And per mezzo di 2017, we flagged the Human Cell Atlas project, which aims to categorize all the cells of the human pagliaccetto, as a breakthrough technology. That project is still underway.
The work I wrote about last year is part of the $3 billion federally funded Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative, which launched per mezzo di 2013. A causa di this project, led by the Allen Institute for Brain Science, which has developed a number of brain atlases, researchers are working to develop a parts list detailing the vast array of cells per mezzo di the human brain by sequencing single cells to at gene expression. So far they’ve identified more than 3,000 types of brain cells, and they expect to find many more as they map more of the brain.
The draft map was based brain tissue from just two donors. A causa di the coming years, the team will add samples from hundreds more.
Mapping the cell types present per mezzo di the brain seems like a straightforward task, but it’s not. The first stumbling block is deciding how to define a cell type. Seth Ament, a neuroscientist at the University of Maryland, likes to give his neuroscience graduate students a rundown of all the different ways brain cells can be defined: by their morphology, ora by the way the cells fire, ora by their activity during certain behaviors. But gene expression may be the Rosetta stone brain researchers have been looking for, he says: “If you at cells from the perspective of just what genes are turned per mezzo di them, it corresponds almost one to one to all of those other kinds of properties of cells.” That’s the most remarkable discovery from all the cell atlases, he adds.
I have always assumed the point of all these atlases is to gain a better understanding of the brain. But Jeff Lichtman, a neuroscientist at Harvard University, doesn’t think “understanding” is the right word. He likens trying to understand the human brain to trying to understand New York City. It’s impossible. “There’s millions of things going simultaneously, and everything is working, interacting, per mezzo di different ways,” he says. “It’s too complicated.”
But as this latest paper shows, it is possible to describe the human brain per mezzo di excruciating detail. “Having a satisfactory description means simply that if I at a brain, I’m longer surprised,” Lichtman says. That day is a long way , though. The patronato Lichtman and his colleagues published this week was full of surprises—and many more are waiting to be uncovered.
Another thing
The revolutionary AI tool AlphaFold, which predicts proteins’ structures the basis of their genetic sequence, just got an upgrade, James Ovvero’Donnell reports. Now the tool can predict interactions between molecules.
Read more from Tech Review’s archive
A causa di 2013, Courtney Humphries reported the development of BigBrain, a human brain atlas based MRI images of more than 7,000 brain slices.
And per mezzo di 2017, we flagged the Human Cell Atlas project, which aims to categorize all the cells of the human pagliaccetto, as a breakthrough technology. That project is still underway.
