Optimal Information Representation and Criticality in an Adaptive Sensory Recurrent Neuronal Network

PLoS Comput Biol. 2016 Feb 16;12(2):e1004698. doi: 10.1371/journal.pcbi.1004698. eCollection 2016 Feb.


Recurrent connections play an important role in cortical function, yet their exact contribution to the network computation remains unknown. The principles guiding the long-term evolution of these connections are poorly understood as well. Therefore, gaining insight into their computational role and into the mechanism shaping their pattern would be of great importance. To that end, we studied the learning dynamics and emergent recurrent connectivity in a sensory network model based on a first-principle information theoretic approach. As a test case, we applied this framework to a model of a hypercolumn in the visual cortex and found that the evolved connections between orientation columns have a "Mexican hat" profile, consistent with empirical data and previous modeling work. Furthermore, we found that optimal information representation is achieved when the network operates near a critical point in its dynamics. Neuronal networks working near such a phase transition are most sensitive to their inputs and are thus optimal in terms of information representation. Nevertheless, a mild change in the pattern of interactions may cause such networks to undergo a transition into a different regime of behavior in which the network activity is dominated by its internal recurrent dynamics and does not reflect the objective input. We discuss several mechanisms by which the pattern of interactions can be driven into this supercritical regime and relate them to various neurological and neuropsychiatric phenomena.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computational Biology
  • Humans
  • Models, Neurological*
  • Nerve Net / physiology*
  • Visual Cortex / physiology*

Grants and funding

This research was supported by the ISRAEL SCIENCE FOUNDATION (grant No. 754/14 to OS). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.