Poster (Other)

FZJ-2021-00209

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Characterization of motor cortex spiking activity for spiking neural network model validation

Dabrowska, P. (Corresponding author)FZJ*RWTH* ; Voges, N.FZJ*AMU* ; von Papen, M.FZJ* ; Ito, J.FZJ* ; Dahmen, D.FZJ* ; Riehle, A.FZJ*AMU* ; Brochier, T.AMU* ; Grün, S.FZJ*RWTH*

2020

Please use a persistent id in citations: http://hdl.handle.net/2128/26910

Abstract: To provide a basis for the validation of balanced spiking neuronal networks and their dynamics, we characterized resting-state (no task) and task-related spiking activity of arm/hand area of macaque (pre-)motor cortex.We recorded spiking activity using a 100-electrode Utah Array (Blackrock Microsystems) during resting-state (REST) and reach-to-grasp (R2G) behavior. In REST, we defined epochs of rest (RS), sleepiness (RSS) and spontaneous movements (M); in R2G: preparatory periods (PP) and task-related movements (TM). Single units were separated into putative excitatory and inhibitory.On the level of single units, we found that ~50% of all units changed their rates significantly with behavioral epochs. Next, we characterized the network activity based on a) the dimensionality which reveals the number of principal components needed to describe the parallel spiking activity, and b) the balance between putative excitatory and inhibitory population firing (absolute difference or instantaneous correlation). RS & PP show the highest dimensionality and the lowest instantaneous balance. Only R2G epochs show a prevalence of excitation (PP) or inhibition (TM), indicating superiority of REST for the validation of balanced network models.Support: DFG SPP1665 DE2175/2-1 & GR1753/4-2; DFG 368482240/GRK2416; EU Grants 720270 & 785907 (HBP).

Note: Since the conference took a virtual format, the posters were presented as 3-min video teasers and live slide presentations (instead of a single-page document).

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Contributing Institute(s):

1. Computational and Systems Neuroscience (INM-6)
2. Theoretical Neuroscience (IAS-6)
3. Jara-Institut Brain structure-function relationships (INM-10)

Research Program(s):

1. 571 - Connectivity and Activity (POF3-571) (POF3-571)
2. DFG project 238707842 - Kausative Mechanismen mesoskopischer Aktivitätsmuster in der auditorischen Kategorien-Diskrimination (238707842) (238707842)
3. HBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270) (720270)
4. HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) (785907)
5. PhD no Grant - Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405) (PHD-NO-GRANT-20170405)

Appears in the scientific report 2020

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Database coverage:

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