---
res:
  bibo_abstract:
  - 'Neural network modeling is often concerned with stimulus-driven responses, but
    most of the activity in the brain is internally generated. Here, we review network
    models of internally generated activity, focusing on three types of network dynamics:
    (a) sustained responses to transient stimuli, which provide a model of working
    memory; (b) oscillatory network activity; and (c) chaotic activity, which models
    complex patterns of background spiking in cortical and other circuits. We also
    review propagation of stimulus-driven activity through spontaneously active networks.
    Exploring these aspects of neural network dynamics is critical for understanding
    how neural circuits produce cognitive function.@eng'
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Tim P
      foaf_name: Vogels, Tim P
      foaf_surname: Vogels
      foaf_workInfoHomepage: http://www.librecat.org/personId=CB6FF8D2-008F-11EA-8E08-2637E6697425
    orcid: 0000-0003-3295-6181
  - foaf_Person:
      foaf_givenName: Kanaka
      foaf_name: Rajan, Kanaka
      foaf_surname: Rajan
  - foaf_Person:
      foaf_givenName: L.F.
      foaf_name: Abbott, L.F.
      foaf_surname: Abbott
  bibo_doi: 10.1146/annurev.neuro.28.061604.135637
  bibo_issue: '1'
  bibo_volume: 28
  dct_date: 2005^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/0147-006X
  - http://id.crossref.org/issn/1545-4126
  dct_language: eng
  dct_publisher: Annual Reviews@
  dct_title: Neural network dynamics@
  fabio_hasPubmedId: '16022600'
...