Functions of Direct and Indirect Pathways for Action Selection Are Quantitatively Analyzed in A Spiking Neural Network of The Basal Ganglia
Sang-Yoon Kim, Woochang Lim

TL;DR
This paper quantitatively analyzes the roles of direct and indirect pathways in action selection within a spiking neural network model of the basal ganglia, revealing their distinct functions in suppressing or promoting actions.
Contribution
It provides the first quantitative analysis of how the direct pathway and two types of indirect pathways contribute to action selection in the basal ganglia.
Findings
The competition degree determines the selected action.
Intra-channel IP acts as a brake to suppress actions.
Inter-channel IP suppresses competing actions to highlight the desired one.
Abstract
We are concerned about action selection in the basal ganglia (BG). We quantitatively analyze functions of direct pathway (DP) and indirect pathway (IP) for action selection in a spiking neural network with 3 competing channels. For such quantitative analysis, in each channel, we obtain the competition degree , given by the ratio of strength of DP () to strength of IP () (i.e., ). Then, a desired action is selected in the channel with the largest . Desired action selection is made mainly due to strong focused inhibitory projection to the output nucleus, SNr (substantia nigra pars reticulata) via the DP in the corresponding channel. Unlike the case of DP, there are two types of IPs; intra-channel IP and inter-channel IP, due to widespread diffusive excitation from the STN (subthalamic…
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Taxonomy
TopicsNeurological disorders and treatments · Functional Brain Connectivity Studies · Genetic Neurodegenerative Diseases
