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Dokumenttyp:
Konferenzbeitrag 
Art des Konferenzbeitrags:
Poster 
Autor(en):
Mariia Popova*1, Melanie Tschiersch1, Nicolas Berberich2, Stefan K Ehrlich2, David Franklin3, Gordon Cheng2 
Titel:
A bump-attractor spiking neural network for motor learning based on Norepinephrine release 
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 
Semester:
SS 20