X-Ray Architecture

Riahi, Pari

doi:10.1080/13602365.2020.1767433

Cited by 1 publication

(1 citation statement)

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“…One of the main benefits of the data-flow design is its synergy with the Ray multiprocessing library for Python. Ray operates on a client-server model and allows for the easy distribution of tasks and worker processes based on the available resources [44]. While the sequence of steps for running a simulation can be constructed locally, those same steps can be distributed and performed remotely on the Ray server.…”

Section: Agent-environment Paradigmmentioning

confidence: 99%

CBGTPy: An extensible cortico-basal ganglia-thalamic framework for modeling biological decision making

Clapp,

Bahuguna,

Giossi

et al. 2023

Preprint

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Here we introduce CBGTPy, a virtual environment for designing and testing goal-directed agents with internal dynamics that are modeled off of the cortico-basal-ganglia-thalamic (CBGT) pathways in the mammalian brain. CBGTPy enables researchers to investigate the internal dynamics of the CBGT system during a variety of tasks, allowing for the formation of testable predictions about animal behavior and neural activity. The framework has been designed around the principle of flexibility, such that many experimental parameters in a decision making paradigm can be easily defined and modified. Here we demonstrate the capabilities of CBGTPy across a range of single and multi-choice tasks, highlighting the ease of set up and the biologically realistic behavior that it produces. We show that CBGTPy is extensible enough to apply to a wide range of experimental protocols and to allow for the implementation of model extensions with minimal developmental effort.

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Section: Agent-environment Paradigmmentioning

confidence: 99%