Highlights•Multiple point-attractor states form in neural circuits with clustered connectivity.•
Transitions between attractor states can arise without a change in stimulus.•Transitions and …

The dilemma that neurotheorists face is that (1) detailed biophysical models that can be
constrained by direct measurements, while being of great importance, offer no immediate …

Assemblies of neurons, called concepts cells, encode acquired concepts in human Medial
Temporal Lobe. Those concept cells that are shared between two assemblies have been …

It is clear that the topological structure of a neural network somehow determines the activity
of the neurons within it. In the present work, we ask to what extent it is possible to examine …

Empirical evidence shows that memories that are frequently revisited are easy to recall, and
that familiar items involve larger hippocampal representations than less familiar ones. In line …

Human memory can store large amount of information. Nevertheless, recalling is often a
challenging task. In a classical free recall paradigm, where participants are asked to repeat …

Introduction. Neural network models of autoassociative, distributed memory allow storage
and retrieval of many items (vectors) where the number of stored items can exceed the …

Many animals exhibit flexible behaviors that they can adjust to increase reward or avoid
harm (learning by positive or aversive reinforcement). But what neural mechanisms allow …

A large number of studies have demonstrated the existence of metabolic covalent
modifications in different molecular structures, which are able to store biochemical …

“Sparse” neural networks, in which relatively few neurons or connections are active, are
common in both machine learning and neuroscience. While, in machine learning,“sparsity” …