Contribution to a conference proceedings

FZJ-2021-00185

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png The speed of sequence processing in biological neuronal networks

Bouhadjar, Y. (Corresponding author)FZJ* ; Diesmann, M.FZJ* ; Wouters, D. J. ; Tetzlaff, T.FZJ*

2020

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Please use a persistent id in citations: http://hdl.handle.net/2128/26744  doi:10.1145/3381755.3381769

Abstract: Sequence processing has been proposed to be the universal computation performed by the neocortex. The Hierarchical Temporal Memory (HTM) model provides a mechanistic implementation of this form of processing. While the model accounts for a number of neocortical features, it is based on networks of highly abstract neuron and synapse models updated in discrete time. Here, we reformulate the model in terms of a network of spiking neurons with continuous-time dynamics to investigate how neuronal and synaptic parameters constrain the sequence-processing speed.

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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)
4. Elektronische Materialien (PGI-7)
5. JARA Institut Green IT (PGI-10)

Research Program(s):

1. 574 - Theory, modelling and simulation (POF3-574) (POF3-574)
2. Advanced Computing Architectures (aca_20190115) (aca_20190115)
3. HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) (785907)
4. 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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