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
Amid funding uncertainty, graduate neuroscience programs in the U.S. adapt
The Transmitter surveyed 50 graduate program directors to learn how they’re faring. Securing labs for new students is one of the greatest concerns.
Amid funding uncertainty, graduate neuroscience programs in the U.S. adapt
The Transmitter surveyed 50 graduate program directors to learn how they’re faring. Securing labs for new students is one of the greatest concerns.
The changing nature of the neuroscience Ph.D.
The best science can only be sustained by a steady influx of early-stage scientists and the innovative ideas they bring, says Diane Lipscombe. She reflects on the loss of international students, the value of training grants, and the challenges that lie ahead for graduate education.
The changing nature of the neuroscience Ph.D.
The best science can only be sustained by a steady influx of early-stage scientists and the innovative ideas they bring, says Diane Lipscombe. She reflects on the loss of international students, the value of training grants, and the challenges that lie ahead for graduate education.
Rethinking neuroscience graduate education in the age of AI
What knowledge from traditional training protocols needs to be maintained, what can be discarded, and what new types of training should be introduced? Six neuroscientists weigh in.
Rethinking neuroscience graduate education in the age of AI
What knowledge from traditional training protocols needs to be maintained, what can be discarded, and what new types of training should be introduced? Six neuroscientists weigh in.