This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...
Abstract: Motion planning is a fundamental challenge in robotics, involving the creation of trajectories from start to goal states while meeting constraints like collision avoidance and joint limits.
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Scientists pinpoint neural roots of schizophrenia and bipolar disorder
For decades, schizophrenia and bipolar disorder have been diagnosed from the outside in, through behavior, mood, and memory ...
Abstract: Deep Reinforcement Learning (DRL) enable several areas of artificial intelligence, including perception recognition, expert system, recommender program and game. Also, graph neural networks ...
From large language models to whole brain emulation, two rival visions are shaping the next era of artificial intelligence.
An insect-scale robot from MIT performs agile flight maneuvers using a neural-network controller, surpassing previous ...
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