Computational neuroscience
Recent articles
New tools help make neuroimaging accessible to more researchers
A lack of programming experience can derail experimental aspirations. But custom software packages, web-based applications and video tutorials make functional MRI concepts easier to grasp.

New tools help make neuroimaging accessible to more researchers
A lack of programming experience can derail experimental aspirations. But custom software packages, web-based applications and video tutorials make functional MRI concepts easier to grasp.
Breaking the barrier between theorists and experimentalists
Many neuroscience students are steeped in an experiment-first style of thinking that leads to “random walk science.” Let’s not forget how theory can guide experiments toward deeper insights.

Breaking the barrier between theorists and experimentalists
Many neuroscience students are steeped in an experiment-first style of thinking that leads to “random walk science.” Let’s not forget how theory can guide experiments toward deeper insights.
Does the solution to building safe artificial intelligence lie in the brain?
Now is the time to decipher what makes the brain both flexible and dependable—and to apply those lessons to AI—before an unaligned agentic system wreaks havoc.

Does the solution to building safe artificial intelligence lie in the brain?
Now is the time to decipher what makes the brain both flexible and dependable—and to apply those lessons to AI—before an unaligned agentic system wreaks havoc.
Dmitri Chklovskii outlines how single neurons may act as their own optimal feedback controllers
From logical gates to grandmother cells, neuroscientists have employed many metaphors to explain single neuron function. Chklovskii makes the case that neurons are actually trying to control how their outputs affect the rest of the brain.
Dmitri Chklovskii outlines how single neurons may act as their own optimal feedback controllers
From logical gates to grandmother cells, neuroscientists have employed many metaphors to explain single neuron function. Chklovskii makes the case that neurons are actually trying to control how their outputs affect the rest of the brain.
Static pay, shrinking prospects fuel neuroscience postdoc decline
Postdoctoral researchers sponsored by the National Institutes of Health now toil longer than ever before, for less money. They are responding accordingly.

Static pay, shrinking prospects fuel neuroscience postdoc decline
Postdoctoral researchers sponsored by the National Institutes of Health now toil longer than ever before, for less money. They are responding accordingly.
Most neurons in mouse cortex defy functional categories
The majority of cells in the cerebral cortex are unspecialized, according to an unpublished analysis—and scientists need to take care in naming neurons, the researchers warn.

Most neurons in mouse cortex defy functional categories
The majority of cells in the cerebral cortex are unspecialized, according to an unpublished analysis—and scientists need to take care in naming neurons, the researchers warn.
This paper changed my life: ‘A massively parallel architecture for a self-organizing neural pattern recognition machine,’ by Carpenter and Grossberg
This paper taught me that we can use mathematical modeling to understand how neural networks are organized—and led me to a doctoral program in the department led by its authors.

This paper changed my life: ‘A massively parallel architecture for a self-organizing neural pattern recognition machine,’ by Carpenter and Grossberg
This paper taught me that we can use mathematical modeling to understand how neural networks are organized—and led me to a doctoral program in the department led by its authors.
Eli Sennesh talks about bridging predictive coding and NeuroAI
Predictive coding is an enticing theory of brain function. Building on decades of models and experimental work, Eli Sennesh proposes a biologically plausible way our brain might implement it.
Eli Sennesh talks about bridging predictive coding and NeuroAI
Predictive coding is an enticing theory of brain function. Building on decades of models and experimental work, Eli Sennesh proposes a biologically plausible way our brain might implement it.
Explaining ‘the largest unexplained number in brain science’: Q&A with Markus Meister and Jieyu Zheng
The human brain takes in sensory information roughly 100 million times faster than it can respond. Neuroscientists need to explore this perceptual paradox to better understand the limits of the brain, Meister and Zheng say.

Explaining ‘the largest unexplained number in brain science’: Q&A with Markus Meister and Jieyu Zheng
The human brain takes in sensory information roughly 100 million times faster than it can respond. Neuroscientists need to explore this perceptual paradox to better understand the limits of the brain, Meister and Zheng say.
What are recurrent networks doing in the brain?
The cortex is filled with excitatory local synapses, but we know little about their role in brain function. New experimental tools, along with ideas from artificial intelligence, are poised to change that.

What are recurrent networks doing in the brain?
The cortex is filled with excitatory local synapses, but we know little about their role in brain function. New experimental tools, along with ideas from artificial intelligence, are poised to change that.
Explore more from The Transmitter
Single-neuron recordings are helping to unravel complexities of human cognition
As this work begins to bear fruit, researchers “are becoming less afraid to ask very difficult questions that you can uniquely ask in people.”

Single-neuron recordings are helping to unravel complexities of human cognition
As this work begins to bear fruit, researchers “are becoming less afraid to ask very difficult questions that you can uniquely ask in people.”
The future of neuroscience research at U.S. minority-serving institutions is in danger
Cuts to federally funded programs present an existential crisis for the University of Puerto Rico’s rich neuroscience community and for research at minority-serving institutions everywhere.

The future of neuroscience research at U.S. minority-serving institutions is in danger
Cuts to federally funded programs present an existential crisis for the University of Puerto Rico’s rich neuroscience community and for research at minority-serving institutions everywhere.
Sequencing study spotlights tight web of genes tied to autism
The findings, shared in a preprint, help to illuminate how a large and heterogeneous group of genes could be involved in autism.

Sequencing study spotlights tight web of genes tied to autism
The findings, shared in a preprint, help to illuminate how a large and heterogeneous group of genes could be involved in autism.