Dynamics of information and emergent computation in generic neural microcircuit models |
| |
Authors: | Thomas Natschlger Wolfgang Maass |
| |
Institution: | Institute for Theoretical Computer Science, Technische Universitaet Graz, A-8010 Graz, Austria |
| |
Abstract: | Numerous methods have already been developed to estimate the information contained in single spike trains. In this article we explore efficient methods for estimating the information contained in the simultaneous firing activity of hundreds of neurons. Obviously such methods are needed to analyze data from multi-unit recordings. We test these methods on generic neural microcircuit models consisting of 800 neurons, and analyze the temporal dynamics of information about preceding spike inputs in such circuits. It turns out that information spreads with high speed in such generic neural microcircuit models, thereby supporting—without the postulation of any additional neural or synaptic mechanisms—the possibility of ultra-rapid computations on the first input spikes. |
| |
Keywords: | Neural microcircuit Spiking neurons Information theoretic methods Neural coding Computational power Dynamic synapses Linear regression Bayesian classifier |
本文献已被 ScienceDirect 等数据库收录! |