Some people seem to pick up new skills the way a sponge soaks up water, while others grind through repetition with only ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

When a blog post by Andrej Karpathy lands in your feed, you pay close attention, simply because few voices in the field of artificial intelligence carry as much conceptual weight. For those who don’t ...

This post may contain links from our sponsors and affiliates, and Flywheel Publishing may receive compensation for actions taken through them. Ethereum (CRYPTO: ETH) and Solana (CRYPTO: SOL) approach ...

Representing and integrating continuous variables is a fundamental capability of the brain, often relying on ring attractor circuits that maintain a persistent bump of activity. To investigate how ...

Abstract: This paper proposes a novel Neural Network Coding Layer (NNCL) that applies network coding theory to provide structured redundancy and enable reconstruction of lost features, thereby ...

In this important study, the authors model reinforcement-learning experiments using a recurrent neural network. The work examines if the detailed credit assignment necessary for back-propagation ...

Researchers have developed a new control system for legged robots, including quadrupeds and humanoids, allowing them to navigate tricky terrains. The system uses a machine learning technique called ...