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Title:

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

Document type:
Konferenzbeitrag
Contribution type:
Poster
Author(s):
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...     »
Book / Congress title:
CNS2020
Congress (additional information):
CNS2020
Date of congress:
20.07.2020
Publisher:
CNS2020
Date of publication:
20.07.2020
Year:
2020
Quarter:
3. Quartal
Year / month:
2020-07
Month:
Jul
Reviewed:
ja
Language:
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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