---
res:
  bibo_abstract:
  - Correlations in sensory neural networks have both extrinsic and intrinsic origins.
    Extrinsic or stimulus correlations arise from shared inputs to the network and,
    thus, depend strongly on the stimulus ensemble. Intrinsic or noise correlations
    reflect biophysical mechanisms of interactions between neurons, which are expected
    to be robust to changes in the stimulus ensemble. Despite the importance of this
    distinction for understanding how sensory networks encode information collectively,
    no method exists to reliably separate intrinsic interactions from extrinsic correlations
    in neural activity data, limiting our ability to build predictive models of the
    network response. In this paper we introduce a general strategy to infer population
    models of interacting neurons that collectively encode stimulus information. The
    key to disentangling intrinsic from extrinsic correlations is to infer the couplings
    between neurons separately from the encoding model and to combine the two using
    corrections calculated in a mean-field approximation. We demonstrate the effectiveness
    of this approach in retinal recordings. The same coupling network is inferred
    from responses to radically different stimulus ensembles, showing that these couplings
    indeed reflect stimulus-independent interactions between neurons. The inferred
    model predicts accurately the collective response of retinal ganglion cell populations
    as a function of the stimulus.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Ulisse
      foaf_name: Ferrari, Ulisse
      foaf_surname: Ferrari
  - foaf_Person:
      foaf_givenName: Stephane
      foaf_name: Deny, Stephane
      foaf_surname: Deny
  - foaf_Person:
      foaf_givenName: Matthew J
      foaf_name: Chalk, Matthew J
      foaf_surname: Chalk
  - 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
  bibo_doi: 10.1103/PhysRevE.98.042410
  bibo_issue: '4'
  bibo_volume: 98
  dct_date: 2018^xs_gYear
  dct_identifier:
  - UT:000447486100004
  dct_isPartOf:
  - http://id.crossref.org/issn/2470-0045
  dct_language: eng
  dct_publisher: American Physical Society@
  dct_title: Separating intrinsic interactions from extrinsic correlations in a network
    of sensory neurons@
...