Using the concepts of chaotic dynamical systems, we present an interpretation of dynamic
neural activity found in cortical and subcortical areas. The discovery of chaotic itinerancy in …

This paper presents an overview of some techniques and concepts coming from dynamical
system theory and used for the analysis of dynamical neural networks models. In a first …

In this paper, a recurrent spiking neural networks is trained on an robot to learn to avoid
obstacles using visual flow. At the starting of the process, this network is initialized in a” …

We consider the significance of high-dimensional transitory dynamics in the brain and mind.
In particular, we highlight the roles of high-dimensional chaotic dynamical systems as an …

Tsuda examines the potential contribution of nonlinear dynamical systems, with many
degrees of freedom, to understanding brain function. We offer suggestions concerning …

Tsuda's article suggests several plausible concepts of neurodynamic representation and
processing, with a thoughtful discussion of their neurobiological grounding and formal …

This paper presents the guidelines of an ongoing project of the" Movement Dynamics" team
in the “Movement and perception” Lab, UMR6152, Marseille. We address the question of …

Résumé Dans ce travail, une approche de" vie artificielle" est utilisée pour étudier le support
neural des comportements. Un comportement est issu d'une bonne adéquation entre le …

I question whether chaotic itinerancy is anything new or different to existing research on
heteroclinic cycles (cycling-chaos), and blow-out bifurcations (attractor-bubbling) that …

After critical appraisal of mathematical and biological characteristics of the model, we
discuss how a classical hippocampal neural network expresses functions similar to those of …