---
res:
  bibo_abstract:
  - Pattern separation is a fundamental brain computation that converts small differences
    in input patterns into large differences in output patterns. Several synaptic
    mechanisms of pattern separation have been proposed, including code expansion,
    inhibition and plasticity; however, which of these mechanisms play a role in the
    entorhinal cortex (EC)–dentate gyrus (DG)–CA3 circuit, a classical pattern separation
    circuit, remains unclear. Here we show that a biologically realistic, full-scale
    EC–DG–CA3 circuit model, including granule cells (GCs) and parvalbumin-positive
    inhibitory interneurons (PV+-INs) in the DG, is an efficient pattern separator.
    Both external gamma-modulated inhibition and internal lateral inhibition mediated
    by PV+-INs substantially contributed to pattern separation. Both local connectivity
    and fast signaling at GC–PV+-IN synapses were important for maximum effectiveness.
    Similarly, mossy fiber synapses with conditional detonator properties contributed
    to pattern separation. By contrast, perforant path synapses with Hebbian synaptic
    plasticity and direct EC–CA3 connection shifted the network towards pattern completion.
    Our results demonstrate that the specific properties of cells and synapses optimize
    higher-order computations in biological networks and might be useful to improve
    the deep learning capabilities of technical networks.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: José
      foaf_name: Guzmán, José
      foaf_surname: Guzmán
      foaf_workInfoHomepage: http://www.librecat.org/personId=30CC5506-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0003-2209-5242
  - foaf_Person:
      foaf_givenName: Alois
      foaf_name: Schlögl, Alois
      foaf_surname: Schlögl
      foaf_workInfoHomepage: http://www.librecat.org/personId=45BF87EE-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0002-5621-8100
  - foaf_Person:
      foaf_givenName: 'Claudia '
      foaf_name: 'Espinoza Martinez, Claudia '
      foaf_surname: Espinoza Martinez
      foaf_workInfoHomepage: http://www.librecat.org/personId=31FFEE2E-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0003-4710-2082
  - foaf_Person:
      foaf_givenName: Xiaomin
      foaf_name: Zhang, Xiaomin
      foaf_surname: Zhang
      foaf_workInfoHomepage: http://www.librecat.org/personId=423EC9C2-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0003-0256-6529
  - foaf_Person:
      foaf_givenName: Benjamin
      foaf_name: Suter, Benjamin
      foaf_surname: Suter
      foaf_workInfoHomepage: http://www.librecat.org/personId=4952F31E-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0002-9885-6936
  - foaf_Person:
      foaf_givenName: Peter M
      foaf_name: Jonas, Peter M
      foaf_surname: Jonas
      foaf_workInfoHomepage: http://www.librecat.org/personId=353C1B58-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0001-5001-4804
  bibo_doi: 10.15479/AT:ISTA:10110
  dct_date: 2021^xs_gYear
  dct_publisher: IST Austria@
  dct_title: How connectivity rules and synaptic properties shape the efficacy of
    pattern separation in the entorhinal cortex–dentate gyrus–CA3 network@
...