Dexterous action, as conceptualized by Bernstein in his influential ecological analysis of
human behavior, is revealed in the ability to flexibly generate behaviors that are adaptively …

Concepts, methods and techniques of statistical physics in the study of correlated, as well as
uncorrelated, phenomena are being applied ever increasingly in the natural sciences …

In 438 alphabetically-arranged essays, this work provides a useful overview of the core
mathematical background for nonlinear science, as well as its applications to key problems …

We present some recent investigations resulting from the modeling of neural networks as
dynamical systems, and deal with the following questions, adressed in the context of specific …

This survey of experimental findings and theoretical insights of the past 25 years places the
brain firmly into the conceptual framework of nonlinear dynamics, operating at the brink of …

The last decade and a half has seen an ardent development of self-organised criticality
(SOC), a new approach to complex systems, which has become important in many domains …

An integration of the stochastic mathematical models for motor proteins with Hill's steady
state thermodynamics yields a rather comprehensive theory for molecular motors as open …

There are now dozens of very different theories of consciousness, each somehow
contributing to our understanding of its nature. The science of consciousness needs …

We derive rigorous results describing the asymptotic dynamics of a discrete time model of
spiking neurons introduced in Soula et al.(Neural Comput. 18, 1, 2006). Using symbolic …

We present a mathematical analysis of a networks with Integrate-and-Fire neurons with
conductance based synapses. Taking into account the realistic fact that the spike time is only …