Bicanski proposes an algorithm and neural mechanisms for the iterative construction of abstract cognitive maps via non-local inference. Map positions are triangulated and memorized by a set of extant ...

The study of cross-species differences in the organization of the cerebral cortex received significant attention during the past century. However, the evolutionary principles governing changes in bra...

How past experiences are reconstructed from memory remains unclear. Here the authors used intracranial EEG to show that hippocampal ripples reshape the geometry of cortical representations, supporting...

By combining magnetoencephalography and eye tracking, this study sheds light on why people fixate on some parts of natural scenes longer than others. Rather than visual complexity, fixation durations ...

Human brain architecture is guiding brain-inspired artificial intelligence (AI) and has been treated as an optimal template, whose deviations could ma…

Related memories are sometimes encoded in overlapping neurons. The authors show that the prefrontal cortex controls this type of memory organization in the hippocampus through direct projections to th...

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Nature - Parsimonious deep neural network models can be used for prediction of visual neuron responses.

ALT: a woman in a white shirt is standing in front of a refrigerator in a store .

Experiments in reading with LLMs

The lesion network mapping method links diverse brain lesions to similar functional brain networks, reflecting general brain organization rather than disorder-specific circuits.

<p><span>Are you interested in using AI to unravel the mysteries of the brain? Do you want to perform cutting-edge NeuroAI research and leverage deep learning to understand human vision? Then check out the vacancy below and apply for a PhD position in this exciting research direction.</span></p>

Huang et al. show that the brain optimizes working memory by compressing information when environmental regularities exist. MEG reveals distinct neural systems for abstract structure and item details,...

A context-driven memory model simulates a wide range of characteristics of waking and sleeping hippocampal replay, providing a new account of how and why replay occurs.

Scientific Reports - The hyperexcitability of laterodorsal tegmentum cholinergic neurons accompanies adverse behavioral and cognitive outcomes of prenatal stress

Thank you for taking part in this survey aimed at (anonymously) collecting your thoughts and suggestions on a new resource called the Brain Encoding Response Generator (BERG; https://github.com/gifale...

Nature Neuroscience - Adaptive intelligence envisions AI that, like animals, learns online, generalizes and adapts quickly. This Perspective reviews biological foundations, progress in AI and...