A. V. Sinitskiy

This paper presents a mathematically rigorous evolutionary framework to model nervous systems, offering insights into biological and artificial neural networks.

This paper extends a simple nervous system model to explore evolutionary optimization, showing it leads to spikes, increased sensitivity, and reduced system cost.

This paper introduces a simplified nervous system model to study generalized principles and dynamics, highlighting the role of evolutionary factors and limitations of weak noise approximations.