2017/08/15 by Pedro A. M. Mediano, Murray Shanahan, Mediano, Pedro A. M. +1
Engineering · Neuroscience · Physics and Astronomy · #Advanced Memory and Neural Computing #FOS: Biological sciences #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #stochastic dynamics and bifurcation
paper · pdf · doi:10.48550/arxiv.1708.04392
openalex publication_date 2017/08/15 · openalex created_date 2022/10/03 · openalex updated_date 2026/07/28
While information processing in complex systems can be described in abstract,\ngeneral terms, there are cases in which the relation between these computations\nand the physical substrate of the underlying system is itself of interest.\nProminently, the brain is one such case. With the aim of relating information\nand dynamics in biological neural systems, we study a model network of spiking\nneurons with different coupling configurations, and explore the relation\nbetween its informational, dynamical, and topological properties. We find that\ninformation transfer and storage peak at two separate points for different\nvalues of the coupling parameter, and are balanced at an intermediate point. In\nthis configuration, avalanches in the network follow a long-tailed, power\nlaw-like distribution. Furthermore, the avalanche statistics at this point\nreproduce empirical findings in the biological brain.\n