Neural dynamics
Recent articles
Finding neuroheterogeneity’s sweet spot
Once thought to be detrimental to memory processing, neuronal diversity—at the right ‘Goldilocks’ dose—is a new boon to theoretical neuroscience.
Finding neuroheterogeneity’s sweet spot
Once thought to be detrimental to memory processing, neuronal diversity—at the right ‘Goldilocks’ dose—is a new boon to theoretical neuroscience.
What to do when traditional mechanistic approaches no longer work
Many complex behaviors have stubbornly resisted mechanistic explanations. Deciphering them will require new approaches—and perhaps a new concept of “understanding.”
What to do when traditional mechanistic approaches no longer work
Many complex behaviors have stubbornly resisted mechanistic explanations. Deciphering them will require new approaches—and perhaps a new concept of “understanding.”
Cerebellar neurons reorient brain activity to differentiate similar behaviors
The findings provide a new perspective on how granule cells help to generalize learning across tasks.
Cerebellar neurons reorient brain activity to differentiate similar behaviors
The findings provide a new perspective on how granule cells help to generalize learning across tasks.
How neuromorphic computing could improve AI
Mihai Petrovici explains what neuromorphic computing is and how it can speed up and reduce energy consumption in artificial intelligence and brain simulations.
How neuromorphic computing could improve AI
Mihai Petrovici explains what neuromorphic computing is and how it can speed up and reduce energy consumption in artificial intelligence and brain simulations.
Dimensionality—neuroscience’s red herring?
Placing too much emphasis on a specific interpretation of dimensionality, or treating it as an end-all quantification of some aspect of neural computation, may hinder progress in understanding the brain.
Dimensionality—neuroscience’s red herring?
Placing too much emphasis on a specific interpretation of dimensionality, or treating it as an end-all quantification of some aspect of neural computation, may hinder progress in understanding the brain.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
Brain’s sex differences are subtle and contradictory, large MRI study finds
Sex-based behavioral differences do not match with variations in brain activation or structure in a study of almost 1,000 people.
Brain’s sex differences are subtle and contradictory, large MRI study finds
Sex-based behavioral differences do not match with variations in brain activation or structure in a study of almost 1,000 people.
Cooperating marmosets extend decision-making model of the brain
When a pair of marmosets works together to earn some marshmallow fluff, one of them decides to act only after its brain accumulates enough evidence about what the other is doing, new work shows.
Cooperating marmosets extend decision-making model of the brain
When a pair of marmosets works together to earn some marshmallow fluff, one of them decides to act only after its brain accumulates enough evidence about what the other is doing, new work shows.
Liset de la Prida explains how neuron subtypes may control the activity of large neural populations, from manifolds to ripples
De la Prida's work analyzing the varieties of sharp wave ripples in the hippocampus led to her discovery that specific types of neurons control the properties of neural manifolds.
Liset de la Prida explains how neuron subtypes may control the activity of large neural populations, from manifolds to ripples
De la Prida's work analyzing the varieties of sharp wave ripples in the hippocampus led to her discovery that specific types of neurons control the properties of neural manifolds.
Juan Gallego discusses how manifolds are transforming our understanding of the coordination of neuronal population activity
A wealth of evidence supports the view that neural manifolds are real and useful, Gallego says, even if they may not completely solve the age-old mind-body problem.
Juan Gallego discusses how manifolds are transforming our understanding of the coordination of neuronal population activity
A wealth of evidence supports the view that neural manifolds are real and useful, Gallego says, even if they may not completely solve the age-old mind-body problem.
Explore more from The Transmitter
‘Brain Flows: How Network Dynamics Compose the Human Mind,’ an excerpt
In his new book, published today, Michael W. Cole examines how the movement of neuronal activity between neuronal populations shapes free will, intelligence and creativity. In this excerpt from Chapter 1, Cole explores why activity flows could unify efforts to map brain functions and connectivity.
‘Brain Flows: How Network Dynamics Compose the Human Mind,’ an excerpt
In his new book, published today, Michael W. Cole examines how the movement of neuronal activity between neuronal populations shapes free will, intelligence and creativity. In this excerpt from Chapter 1, Cole explores why activity flows could unify efforts to map brain functions and connectivity.
Prenatal pruning of neurons with copy number variants; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 2 November.
Prenatal pruning of neurons with copy number variants; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 2 November.
New Stanford initiative aims to build digital twin of human brain
The effort, funded by private donors, seeks to train the model on a trove of MRI and magnetoencephalography data that scientists plan to collect over the next five years—but questions about its scientific utility and feasibility remain.
New Stanford initiative aims to build digital twin of human brain
The effort, funded by private donors, seeks to train the model on a trove of MRI and magnetoencephalography data that scientists plan to collect over the next five years—but questions about its scientific utility and feasibility remain.