A project to facilitate construction of high-performance neural simulations.
-
Updated
Jul 3, 2021 - C++
#
neural-simulator
Here are 10 public repositories matching this topic...
C++ basecode and python scripting interface
-
Updated
Nov 11, 2024 - C++
A project to facilitate construction of high-performance simulations of graph-structured systems.
c-plus-plus
gpu-acceleration
neural-simulator
emergency-services
performance-neural-simulations
graph-simulator
-
Updated
Nov 13, 2024 - C++
Evolve a colony of organisms (based on C. elegans) to adapt to various environmental stimuli, using an evolutionary algorithm and spike-timing dependent plasticity.
-
Updated
Aug 21, 2018 - Java
Large Scale Neural Modeling (LSNM) simulator in Python
computational-neuroscience
neural-networks
neuroimaging
fmri
neural-simulator
neural-nets
brain-imaging
visual-recognition
neural-models
working-memory
auditory-recognition
-
Updated
Dec 31, 2017 - CWeb
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
python
neural-network
thesis
master-thesis
test-suite
academic
neuroscience
computational-neuroscience
statistical-tests
spiking-neural-networks
brian
neural-simulator
csa
pynn
nest-simulator
nmbu
connection-set-algebra
-
Updated
Jul 27, 2019 - PostScript
An abstract neural simulator based on actor model for spike-timing dependent plasticity.
-
Updated
Jan 1, 2016 - Scala
Graph Neural Network (GNN) based data-driven simulator which learns from PFEM simulation data.
-
Updated
Oct 1, 2024 - Fortran
Fork of https://github.com/BhallaLab/moose-core (this fork may not be compatible with upstream).
-
Updated
May 15, 2024 - C++
Improve this page
Add a description, image, and links to the neural-simulator topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the neural-simulator topic, visit your repo's landing page and select "manage topics."