A project to facilitate construction of high-performance neural simulations.
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Updated
Jul 3, 2021 - C++
A project to facilitate construction of high-performance neural simulations.
C++ basecode and python scripting interface
A project to facilitate construction of high-performance simulations of graph-structured systems.
Evolve a colony of organisms (based on C. elegans) to adapt to various environmental stimuli, using an evolutionary algorithm and spike-timing dependent plasticity.
Large Scale Neural Modeling (LSNM) simulator in Python
My master thesis "Statistical tests for connection algorithms for neural networks". Also available at https://nmbu.brage.unit.no/nmbu-xmlui/bitstream/handle/11250/189117/Hjertholm2013.pdf?sequence=1
An abstract neural simulator based on actor model for spike-timing dependent plasticity.
Fork of https://github.com/BhallaLab/moose-core (this fork may not be compatible with upstream).
Graph Neural Network (GNN) based data-driven simulator which learns from PFEM simulation data.
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