ML Anthology

Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons

Thomas Natschläger, Wolfgang Maass
NeurIPS 2003 pp. 1255-1262
/neurips/2003/natschlager2003neurips-information/

Abstract

We employ an efficient method using Bayesian and linear classifiers for analyzing the dynamics of information in high-dimensional states of generic cortical microcircuit models. It is shown that such recurrent cir- cuits of spiking neurons have an inherent capability to carry out rapid computations on complex spike patterns, merging information contained in the order of spike arrival with previously acquired context information.

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Text

Natschläger and Maass. "Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons." Neural Information Processing Systems, 2003.

Markdown

[Natschläger and Maass. "Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons." Neural Information Processing Systems, 2003.](https://mlanthology.org/neurips/2003/natschlager2003neurips-information/)

BibTeX

@inproceedings{natschlager2003neurips-information,
  title     = {{Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons}},
  author    = {Natschläger, Thomas and Maass, Wolfgang},
  booktitle = {Neural Information Processing Systems},
  year      = {2003},
  pages     = {1255-1262},
  url       = {https://mlanthology.org/neurips/2003/natschlager2003neurips-information/}
}