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This chapter reviews a series of neurocomputational models that focus on the action selection and reinforcement learning functions of basal ganglia (BG), and ...
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Dec 11, 2013 · Over the past 15 years, computational models have had a considerable impact on basal-ganglia research. Most of these models implement ...
A neural network model of basal ganglia's decision-making circuitry
www.ncbi.nlm.nih.gov › PMC7947063
Jun 24, 2020 · A group of neurons in the striatum projects directly to the output nuclei, including GPi and SNr, and forms the direct pathway. These neurons ...
Here we summarize recent evidence supporting specific computational roles of the basal ganglia in perceptual decision-making. These roles likely share common ...
This chapter reviews a series of neurocomputational models that focus on the action selection and reinforcement learning functions of basal ganglia (BG), and ...
Abstract. The basal ganglia (BG) are a subcortical structure implicated in action selection. The aim of this work is to present a new cognitive neuroscience ...
Jul 17, 2021 · Making decisions in the dark basement of the brain: A look back at the GPR model of action selection and the basal ganglia. 60TH ANNIVERSARY ...
O'Reilly, R.C., & Frank, M.J. (2006). Making working memory work: A computational model of learning in the prefrontal cortex and basal ganglia. Neural ...
Dec 7, 2022 · ... computational models and empirical studies suggests that the basal ganglia play an important role during adjustments of decision-making, it ...
The model is cast in reinforcement learning framework with the dopamine signal representing reward prediction error. We apply the model to two decision making ...