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Emulating dendritic computing paradigms on analog neuromorphic hardware

BrainScaleS-2 is an accelerated and highly configurable neuromorphic system with physical models of neurons and synapses. Beyond networks of spiking point neurons, it allows for the implementation of user-defined neuron morphologies. Both passive propagation of electric signals between compartments...

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Bibliographic Details
Main Authors: Kaiser, Jakob (Author) , Billaudelle, Sebastian (Author) , Müller, Eric (Author) , Tetzlaff, Christian (Author) , Schemmel, Johannes (Author) , Schmitt, Sebastian (Author)
Format: Article (Journal)
Language:English
Published: 2022
In: Neuroscience
Year: 2022, Volume: 489, Pages: 290-300
ISSN:1873-7544
DOI:10.1016/j.neuroscience.2021.08.013
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.neuroscience.2021.08.013
Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S0306452221004218
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Author Notes:Jakob Kaiser, Sebastian Billaudelle, Eric Müller, Christian Tetzlaff, Johannes Schemmel and Sebastian Schmitt
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Summary:BrainScaleS-2 is an accelerated and highly configurable neuromorphic system with physical models of neurons and synapses. Beyond networks of spiking point neurons, it allows for the implementation of user-defined neuron morphologies. Both passive propagation of electric signals between compartments as well as dendritic spikes and plateau potentials can be emulated. In this paper, three multi-compartment neuron morphologies are chosen to demonstrate passive propagation of postsynaptic potentials, spatio-temporal coincidence detection of synaptic inputs in a dendritic branch, and the replication of the BAC burst firing mechanism found in layer 5 pyramidal neurons of the neocortex.
Item Description:Available online 21 August 2021
Gesehen am 22.06.2022
Physical Description:Online Resource
ISSN:1873-7544
DOI:10.1016/j.neuroscience.2021.08.013

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