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Titel:

A bump-attractor spiking neural network for motor learning based on Norepinephrine release

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Poster
Autor(en):
Mariia Popova*1, Melanie Tschiersch1, Nicolas Berberich2, Stefan K Ehrlich2, David Franklin3, Gordon Cheng2
Abstract:
In order to examine the formation of predictive motor memories, typical behavioural motor learning experiments perturb participants reaching movements using an external force field, to which they rapidly adapt, and exhibit aftereffects when the force field is removed. While previous computational models can recreate the behavioral results, they do not account for the neural mechanisms involved. A model that also includes synaptic mechanisms could help to infer biological causes of neurodegenerat...     »
Kongress- / Buchtitel:
CNS2020
Kongress / Zusatzinformationen:
CNS2020
Datum der Konferenz:
20.07.2020
Verlag / Institution:
CNS2020
Publikationsdatum:
20.07.2020
Jahr:
2020
Quartal:
3. Quartal
Jahr / Monat:
2020-07
Monat:
Jul
Reviewed:
ja
Sprache:
en
WWW:
https://cns2020online.sched.com/event/cmAE/p24-a-bump-attractor-spiking-neural-network-for-motor-adaptation-and-washout-based-on-norepinephrine-release-in-primary-motor-cortex
Semester:
SS 20
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