Delamare et al. present a computational model of memory formation inspired by recent experimental data, in which individual memories are encoded not only i

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

A computational model shows how synaptic plasticity shapes spontaneous activity to encode the transition statistics of sensory experience.

This review synthesizes advances in predictive processing within the sensory cortex. Predictive processing theorizes that the brain continuously predicts sensory inputs, refining neuronal responses…

How the brain integrates sensory input and predictions to adapt to change is not fully understood. Here authors build a neural network model to show how prediction-error neurons compute uncertainty of...

How the brain adapts our movements to new conditions remains unclear. Here, the authors show that a recurrent neural network that controls its output using error-based feedback can learn to count...

Nature Neuroscience - Distinct hippocampal feedback pathways to deep and superficial layers of the cortex in mice differentially modulate excitation–inhibition dynamics, plasticity and...

Fast instinctive responses to environmental stimuli can be crucial for survival but are not always optimal. Animals can adapt their behavior and suppress instinctive reactions, but the neural pathways...

Fast instinctive responses to environmental stimuli can be crucial for survival but are not always optimal. Animals can adapt their behavior and suppress instinctive reactions, but the neural pathways...

The European Research Council (ERC) has awarded its 2024 Consolidator Grants to 328 researchers across Europe. These grants, totalling €678 million, aim to support outstanding scientists and scholars ...

How do brain circuits learn to generate behaviour? While significant strides have been made in understanding learning in artificial neural networks, applying this knowledge to biological networks...