Basal Ganglia (BG) are implied in many motor and cognitive tasks, such as action selection, and have a central role in many pathologies, primarily Parkinson Disease. In the present work, we use a recently developed biologically inspired BG model to analyze how the dopamine (DA) level can affect the temporal response during action selection, and the capacity to learn new actions following rewards and punishments. The model incorporates the 3 main pathways (direct, indirect and hyperdirect) working in BG functioning. The behavior of 2 alternative networks (the first with normal DA levels, the second with reduced DA) is analyzed both in untrained conditions, and during training performed in different epochs. The results show that reduced DA causes delayed temporal responses in the untrained network, and difficult of learning during training, characterized by the necessity of much more epochs. The results provide interesting hints to understand the behavior of healthy and dopamine depleted subjects, such as parkinsonian patients.

A computational model of Dopamine and Acetylcholine aberrant learning in Basal Ganglia / Baston, Chiara; Ursino, Mauro. - ELETTRONICO. - 2015-:(2015), pp. 7319883.6505-7319883.6508. (Intervento presentato al convegno 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 tenutosi a MiCo Center, Milano Congressi Center, ita nel 2015) [10.1109/EMBC.2015.7319883].

A computational model of Dopamine and Acetylcholine aberrant learning in Basal Ganglia

BASTON, CHIARA;URSINO, MAURO
2015

Abstract

Basal Ganglia (BG) are implied in many motor and cognitive tasks, such as action selection, and have a central role in many pathologies, primarily Parkinson Disease. In the present work, we use a recently developed biologically inspired BG model to analyze how the dopamine (DA) level can affect the temporal response during action selection, and the capacity to learn new actions following rewards and punishments. The model incorporates the 3 main pathways (direct, indirect and hyperdirect) working in BG functioning. The behavior of 2 alternative networks (the first with normal DA levels, the second with reduced DA) is analyzed both in untrained conditions, and during training performed in different epochs. The results show that reduced DA causes delayed temporal responses in the untrained network, and difficult of learning during training, characterized by the necessity of much more epochs. The results provide interesting hints to understand the behavior of healthy and dopamine depleted subjects, such as parkinsonian patients.
2015
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
6505
6508
A computational model of Dopamine and Acetylcholine aberrant learning in Basal Ganglia / Baston, Chiara; Ursino, Mauro. - ELETTRONICO. - 2015-:(2015), pp. 7319883.6505-7319883.6508. (Intervento presentato al convegno 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 tenutosi a MiCo Center, Milano Congressi Center, ita nel 2015) [10.1109/EMBC.2015.7319883].
Baston, Chiara; Ursino, Mauro
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/552916
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