Synchronization phenomena in large populations of interacting elements are the subject of
intense research efforts in physical, biological, chemical, and social systems. A successful …

Episodic memory has a dynamic nature: when we recall past episodes, we retrieve not only
their content, but also their temporal structure. The phenomenon of replay, in the …

This paper summarizes associative memory models and sparse representation of memory in
these models. Important properties of the associative memory models are their storage …

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 …

A fundamental problem in neuroscience is understanding how working memory—the ability
to store information at intermediate timescales, like tens of seconds—is implemented in …

Based on the self-consistent signal-to-noise analysis (SCSNA) capable of dealing with
analog neural networks with a wide class of transfer functions, enhancement of the storage …

The present paper proposes a hierarchy of macrodynamical equations for the recalling
process of the autocorrelation associative memory model with synchronous dynamics. The …

L0-regularization-based compressed sensing (L0-RBCS) has the potential to outperform L1-
regularization-based compressed sensing (L1-RBCS), but the optimization in L0-RBCS is …

In this work we perform a detailed statistical analysis of topological and spectral properties of
random geometric graphs (RGGs), a graph model used to study the structure and dynamics …

Memory engrams in mice brains are potentially related to groups of concept cells in human
brains. A single concept cell in human hippocampus responds, for example, not only to …