Dynamics of information and emergent computation in generic microcircuit models

T. Natschläger, W. Maass. Dynamics of information and emergent computation in generic microcircuit models. Neural Networks, volume 18, number 10, pages 1301-1308, 12, 2005.

Autoren
  • Thomas Natschläger
  • Wolfgang Maass
TypArtikel
JournalNeural Networks
Nummer10
Band18
ISBN0893-6080
Monat12
Jahr2005
Seiten1301-1308
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.