Most SSMs can be broken down into two key components: inputs and integrators ( Bogacz et al., 2006 ). Inputs encode the drift rate – the rate of evidence accumulation – and integrators encode the ...

New study reveals how the brain’s visual system aids decision-making, offering insights to build smarter, more adaptive AI ...

A new study reveals how the brain allocates limited working memory by giving priority items more precise representation.

A team from Stanford Medicine has developed AI-powered digital twins of the brain, trained on large datasets of brain activity. These models predict neural responses to new stimuli, offering profound ...

I think it's important to recognize not only how fake science can degrade medicine and exploit health care consumers, but ...

A foundation model trained on neural activity of visual cortex from multiple mice accurately predicts responses to video stimuli and cell types, dendritic features and connectivity within the ...

Unlike previous AI models of the visual cortex, which could simulate the brain's response to only the type of stimuli they saw in the training data, the new model can predict the brain's response ...

Beyond the training distribution Unlike previous AI models of the visual cortex, which could simulate the brain's response to only the type of stimuli they saw in the training data, the new model can ...

A team of researchers from the Institute for Basic Science, Yonsei University, and the Max Planck Institute have developed a ...

When navigating environments with changing rules, human brain circuits flexibly adapt how and where we retain information to help us achieve our immediate goals.

A team of scientists claims to have discovered a new colour that humans cannot see without the help of technology. The ...