Computational neuroscience
Recent articles
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The majority of cells in the cerebral cortex are unspecialized, according to an unpublished analysis—and scientists need to take care in naming neurons, the researchers warn.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The majority of cells in the cerebral cortex are unspecialized, according to an unpublished analysis—and scientists need to take care in naming neurons, the researchers warn.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.
Imagining the ultimate systems neuroscience paper
A growing body of papers on systems neuroscience and on giant simulations of neural circuits involves data beyond the point that anyone can reasonably understand end to end. Looking ahead, “paper-bots” could solve that problem.
Imagining the ultimate systems neuroscience paper
A growing body of papers on systems neuroscience and on giant simulations of neural circuits involves data beyond the point that anyone can reasonably understand end to end. Looking ahead, “paper-bots” could solve that problem.
NeuroAI: A field born from the symbiosis between neuroscience, AI
As the history of this nascent discipline reveals, neuroscience has inspired advances in artificial intelligence, and AI has provided a testing ground for models in neuroscience, accelerating progress in both fields.
NeuroAI: A field born from the symbiosis between neuroscience, AI
As the history of this nascent discipline reveals, neuroscience has inspired advances in artificial intelligence, and AI has provided a testing ground for models in neuroscience, accelerating progress in both fields.
Explore more from The Transmitter
Autism program chief among National Institutes of Health layoffs
The termination is one of more than 1,000 employee cuts at the U.S. agency this week.
Autism program chief among National Institutes of Health layoffs
The termination is one of more than 1,000 employee cuts at the U.S. agency this week.
This paper changed my Life: Bill Newsome reflects on a quadrilogy of classic visual perception studies
The 1970s papers from Goldberg and Wurtz made ambitious mechanistic studies of higher brain functions seem feasible.
This paper changed my Life: Bill Newsome reflects on a quadrilogy of classic visual perception studies
The 1970s papers from Goldberg and Wurtz made ambitious mechanistic studies of higher brain functions seem feasible.
Science must step away from nationally managed infrastructure
Scientific data and independence are at risk. We need to work with community-driven services and university libraries to create new multi-country organizations that are resilient to political interference.
Science must step away from nationally managed infrastructure
Scientific data and independence are at risk. We need to work with community-driven services and university libraries to create new multi-country organizations that are resilient to political interference.