---
res:
  bibo_abstract:
  - "Recent work emphasizes that the maximum entropy principle provides a bridge between
    statistical mechanics models for collective behavior in neural networks and experiments
    on networks of real neurons. Most of this work has focused on capturing the measured
    correlations among pairs of neurons. Here we suggest an alternative, constructing
    models that are consistent with the distribution of global network activity, i.e.
    the probability that K out of N cells in the network generate action potentials
    in the same small time bin. The inverse problem that we need to solve in constructing
    the model is analytically tractable, and provides a natural 'thermodynamics' for
    the network in the limit of large N. We analyze the responses of neurons in a
    small patch of the retina to naturalistic stimuli, and find that the implied thermodynamics
    is very close to an unusual critical point, in which the entropy (in proper units)
    is exactly equal to the energy. © 2013 IOP Publishing Ltd and SISSA Medialab srl.\r\n@eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Gasper
      foaf_name: Tkacik, Gasper
      foaf_surname: Tkacik
      foaf_workInfoHomepage: http://www.librecat.org/personId=3D494DCA-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0002-6699-1455
  - foaf_Person:
      foaf_givenName: Olivier
      foaf_name: Marre, Olivier
      foaf_surname: Marre
  - foaf_Person:
      foaf_givenName: Thierry
      foaf_name: Mora, Thierry
      foaf_surname: Mora
  - foaf_Person:
      foaf_givenName: Dario
      foaf_name: Amodei, Dario
      foaf_surname: Amodei
  - foaf_Person:
      foaf_givenName: Michael
      foaf_name: Berry, Michael
      foaf_surname: Berry
  - foaf_Person:
      foaf_givenName: William
      foaf_name: Bialek, William
      foaf_surname: Bialek
  bibo_doi: 10.1088/1742-5468/2013/03/P03011
  bibo_issue: '3'
  bibo_volume: 2013
  dct_date: 2013^xs_gYear
  dct_identifier:
  - UT:000316056900011
  dct_language: eng
  dct_publisher: IOP Publishing@
  dct_title: The simplest maximum entropy model for collective behavior in a neural
    network@
...