We study theoretically the dimensional crossover from a three-dimensional elongated
condensate to a one-dimensional condensate as the transverse degrees of freedom get …

Abstract Spiking Neuron Networks (SNNs) are often referred to as the 3rd generation of
neural networks. They derive their strength and interest from an accurate modelling of …

Contrary to Hopfield-like networks, random recurrent neural networks (RRNN), where the
couplings are random, exhibit complex dynamics (limit cycles, chaos). It is possible to store …

This paper is a presentation of neuronal control systems in the terms of the dynamical
systems theory, where (1) the controller and its surrounding environment are seen as two co …

We present a multi-population dynamic neural network model with binary activation and a
ran-dom interaction pattern. The weights parame-ters have been specified in order to …

The ability to recall information over a short period of time (working memory) is critically
important for human cognition. The dominant model of working memory is persistent activity …

Complessità e dimensione delle reti neurali Page 1 Università degli Studi "La Sapienza" di
Roma Facoltà di Psicologia Corso di Laurea in Psicologia Generale e Sperimentale Tesi di …

We present a multi-population dynamic neural network model with binary activation and a
random interaction pattern. The weights parameters have been specified in order to …

In the framework of the embodied approach, this paper tries to emphasize that, aside from its
closed loop organization, a body is a growing object. A body can indeed recruit external …