---
res:
  bibo_abstract:
  - "Distinguishing  between  similar  experiences  is  achieved  by  the  brain  in
    \ a  process called  pattern  separation.  In  the  hippocampus,  pattern  separation
    \ reduces  the interference of memories and increases the storage capacity by
    decorrelating similar inputs  patterns  of  neuronal  activity  into  non-overlapping
    output  firing  patterns. Winners-take-all  (WTA)  mechanism  is  a  theoretical
    \ model  for  pattern  separation  in which  a  \"winner\"  cell  suppresses  the
    \ activity  of  the  neighboring  neurons  through feedback inhibition. However,
    if the network properties of the dentate gyrus support WTA as a biologically conceivable
    model remains unknown. Here, we showed that the connectivity rules of PV+interneurons
    and their synaptic properties are optimizedfor efficient pattern separation. We
    found using multiple whole-cell in vitrorecordings that PV+interneurons mainly
    connect to granule cells (GC) through lateral inhibition, a form of  feedback
    \ inhibition  in  which  a  GC  inhibits  other  GCs  but  not  itself  through
    \ the activation of PV+interneurons. Thus, lateral inhibition between GC–PV+interneurons
    was ~10 times more abundant than recurrent connections. Furthermore, the GC–PV+interneuron
    \ connectivity  was  more  spatially  confined  but  less  abundant  than  PV+interneurons–GC
    \ connectivity,  leading  to  an  asymmetrical  distribution  of  excitatory and
    inhibitory connectivity. Our network model of the dentate gyrus with incorporated
    real connectivity rules efficiently decorrelates neuronal activity patterns using
    WTA as the  primary  mechanism.  This  process  relied  on  lateral  inhibition,
    \ fast-signaling properties  of  PV+interneurons  and  the  asymmetrical  distribution
    \ of  excitatory  and inhibitory connectivity. Finally, we found that silencing
    the activity of PV+interneurons in  vivoleads  to  acute  deficits  in  discrimination
    \ between  similar  environments, suggesting  that  PV+interneuron  networks  are
    \ necessary  for  behavioral  relevant computations.  Our   results   demonstrate
    \  that   PV+interneurons  possess  unique connectivity  and  fast  signaling
    \ properties  that confer  to  the  dentate  gyrus  network properties that allow
    the emergence of pattern separation. Thus, our results contribute to the knowledge
    of how specific forms of network organization underlie sophisticated types of
    information processing. \r\n@eng"
  bibo_authorlist:
  - 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
  bibo_doi: 10.15479/AT:ISTA:6363
  dct_date: 2019^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/2663-337X
  - http://id.crossref.org/issn/978-3-99078-000-8
  dct_language: eng
  dct_publisher: Institute of Science and Technology Austria@
  dct_title: Parvalbumin+ interneurons enable efficient pattern separation in hippocampal
    microcircuits@
...