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by Hugues Berry, Lyle J. Graham, Kim T. Blackwell
Neural dynamics within the brain unfold across an astonishingly broad spectrum of timescales, from milliseconds to minutes and beyond. These variations do not merely represent rand...
By explicitly linking reinforcement-driven human neuroplasticity with gradient-based decoder optimization, the framework unifies biological trial-and-error learning with mathematic...
by Bjorge Meulemeester, Arco Bast, María Royo, Rieke Fruengel, Su Saka, Foivos Kastrinakis, Marcel Oberlaender How can we identify the mechanistic origins of the electrophysiologi...
by Xiaoqian Sun, Hui Lu, Chen Zeng, Rahul Simha Understanding neuronal topology—how neurons are connected—is essential for uncovering neural computation principles and functional...
A new study shows that each neuron can do multiple computations at once thanks to hundreds of sprawling branches
Individual human neurons may be far more powerful computing units than previously understood. Inside the human cortex, a single neuron may be doing far more than simply deciding wh...
Researchers developed a brain-inspired AI model modeled on hippocampal mechanisms including cognitive maps and stochastic calculations.
Researchers have developed a computer model of the human cortex that connects molecular-scale chemistry with brain-wide patterns of activity, offering new evidence that differences...
A new study demonstrates that top-down cognitive context actively reshapes early visual processing through a specific inhibition-on-inhibition (disinhibition) circuit motif, mappin...
by Cristina Colangelo, Alberto Muñoz, Alberto Antonietti, Vishal Sood, Alejandro Antón-Fernández, Joni Herttuainen, Armando Romani, Javier DeFelipe, Srikanth Ramaswamy The hindlim...
by Krubeal Danieli, Mikkel Elle Lepperød Animals develop specialized cognitive maps during navigation, constructing environmental representations that facilitate efficient explora...
Congratulations Dr. Nadeau! Join us in congratulating Dr. Stephan Nadeau on the publication of his latest article, “Parallel Distributed Processing and Other Computational Models:...
A new study presents a unifying computational framework for neural traveling waves in the visual cortex.
A new study demonstrates that individual human cortical neurons possess the computational complexity of an entire deep artificial neural network.
Tokyo, Japan—How much should an organism rely on memory when the present is good enough? New work from the Institute of Industrial Science, The University of Tokyo, and RIKEN refra...
Learning relies on refining the strength of existing connections rather than building new neural pathways, pointing to a shared computational principle in human and artificial inte...
A new research framework that combines large language models (LLMs) with choice mathematics to evaluate human decision-making. By deploying LLMs to automatically interpret and code...
A brain-like neuron seems distinctly nonlinear, yet the equations governing its inter-spike periods are exactly solvable with a solitary…Continue reading on Medium »
A new study utilizes International Brain Laboratory data across 43 mouse cortical regions to prove that multi-purpose generalist neurons constitute the overwhelming rule of mammali...
A new study suggests that the brain may build complex behavior in much the same way engineers build sophisticated machines: by combining reusable components rather than creating an...
In a groundbreaking study published in Nature, researchers have unveiled sophisticated predictive models linking the complex architecture of individual neurons in the mouse primary...
A new study presents the world's first neuromorphic chip capable of matching the operational speed of the human brain.
Within the brain, neurons compute by generating electrical impulses. These signals travel throughout neurons, which are in turn connected in vast networks that control brain functi...
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