Neural-Mass model acceleration on Maxeler Dataflow Engines [Theme: BrainFrame]

Mean-field approximation of network of biophysical neurons driven by  conductance-based ion exchange | bioRxiv

Maxeller, with the MaxJ compiler, changes FPGAs into Data Flow Engines, with a dataflow programming language. As shown in the FlexHH paper (doi: 10.1109/ACCESS.2020.3007019), Dataflow Computing fits reconfigurable neural simulation extremely well. As an abstraction over large populations of single cells, neural-mass modeling retains most of the computational properties of neural modeling. As such, the Maxeler approach to neural-mass simulation could very well bring great speedups to this clinically relevant computational problem.

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Job Type: Student Thesis

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