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@INPROCEEDINGS{Stella:916198,
      author       = {Stella, Alessandra and Bouss, Peter and Palm, Günther and
                      Riehle, Alexa and Brochier, Thomas and Grün, Sonja},
      title        = {{M}ultiplexing neurons and multiple overlapping cell
                      assemblies active during motor behavior},
      reportid     = {FZJ-2022-05999},
      year         = {2022},
      abstract     = {The cell assembly hypothesis [1] postulates that neurons
                      coordinate their activity through the formation of
                      repetitive co-activation of groups, called cellassemblies.
                      We assume that spatio-temporal spike patterns (STPs) occur
                      as an expression of active neuronal assemblies, at the
                      resolution of a fewmilliseconds.In order to test this
                      hypothesis, we used the SPADE method [2,3,4,5], which
                      detects significant STPs in parallel spike trains. We
                      analyzed experimental datarecorded by a 10x10 electrode Utah
                      array in the pre-/motor cortex of macaque monkeys performing
                      a reach-to-grasp task [6,7]. The task comprised four
                      differenttrial types of grasping and pulling an object by
                      combining two grip types and two force levels.We find
                      significant STPs in 19/20 recording sessions (of 15min) from
                      different days. They occur in all phases of the behavior and
                      across all trial types. Their sizeranges between 2 and 6
                      neurons, with a maximal temporal extent of 60ms. The STPs
                      show a high behavioral specificity, suggesting that
                      different cellassemblies are active in the context of
                      different behaviors. Moreover, we observed that pattern
                      spikes are only a small fraction of the total recorded
                      spikingactivity, which may be explained by downsampling due
                      to the recording. A surprising finding is that STPs overlap
                      on different levels: 1) the same neuron may beinvolved in a
                      different STP during another behavioral epoch during an
                      individual session, which may indicate overlapping
                      assemblies; 2) in $85\%$ of the sessionswith patterns at
                      least one neuron participates in many patterns, which may be
                      interpreted as a hub neuron linking assemblies; 3) even
                      individual spikes take partin more than one STP.Concluding,
                      our results indicate that STPs occur frequently in parallel
                      spike trains. Quantitative analysis of their properties
                      suggests that STPs are functionallyrelated to behavior and
                      specific to it, and may be an indication of the presence of
                      assemblies being activated during the task. The assemblies
                      may include tensor even hundreds of neurons, however, given
                      the sub-sampling of our experimental setting, we may capture
                      their activation in the form of patterns composed ofa few
                      neurons.References:[1] Hebb, D. O. (1949). John Wiley $\&$
                      Sons[2] Torre et al (2016) J Neurosci.[3] Quaglio et al.
                      (2017). Front Comp Neurosci.[4] Stella, Quaglio et
                      al.(2019). Biosystems[5] Stella, Bouss et al. (2022).
                      eNeuro[6] Brochier et al. (2018). Scientific data[7] Riehle
                      et al. (2013). Front. Neural Circuits},
      month         = {Nov},
      date          = {2022-11-12},
      organization  = {SfN Conference, San Diego (USA), 12
                       Nov 2022 - 16 Nov 2022},
      subtyp        = {After Call},
      cin          = {INM-6 / IAS-6 / INM-10},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828 /
                      I:(DE-Juel1)INM-10-20170113},
      pnm          = {5231 - Neuroscientific Foundations (POF4-523) / HAF -
                      Helmholtz Analytics Framework (ZT-I-0003) / HBP SGA2 - Human
                      Brain Project Specific Grant Agreement 2 (785907) / HBP SGA3
                      - Human Brain Project Specific Grant Agreement 3 (945539) /
                      GRK 2416 - GRK 2416: MultiSenses-MultiScales: Neue Ansätze
                      zur Aufklärung neuronaler multisensorischer Integration
                      (368482240)},
      pid          = {G:(DE-HGF)POF4-5231 / G:(DE-HGF)ZT-I-0003 /
                      G:(EU-Grant)785907 / G:(EU-Grant)945539 /
                      G:(GEPRIS)368482240},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/916198},
}