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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| Hauptverfasser: | , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2022
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| In: |
Neuroscience
Year: 2022, Jahrgang: 489, Pages: 290-300 |
| ISSN: | 1873-7544 |
| DOI: | 10.1016/j.neuroscience.2021.08.013 |
| Online-Zugang: | 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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| Verfasserangaben: | Jakob Kaiser, Sebastian Billaudelle, Eric Müller, Christian Tetzlaff, Johannes Schemmel and Sebastian Schmitt |
| Zusammenfassung: | 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. |
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| Beschreibung: | Available online 21 August 2021 Gesehen am 22.06.2022 |
| Beschreibung: | Online Resource |
| ISSN: | 1873-7544 |
| DOI: | 10.1016/j.neuroscience.2021.08.013 |