Dec 10, 2013 · In this article we have presented Mozaik, a Python-based integrated workflow framework for spiking neuronal simulations. Much of the effort in ...
Integrated workflows for spiking neuronal network simulations - PMC
pmc.ncbi.nlm.nih.gov › PMC3857637
Dec 10, 2013 · To address these issues, we have developed Mozaik: a workflow system for spiking neuronal network simulations written in Python. Mozaik ...
Dec 10, 2013 · To address these issues, we have developed Mozaik: a workflow system for spiking neuronal network simulations written in Python. Mozaik ...
The tools and services provide integrated workflows for model creation, simulation and validation, including data analysis and visualisation. The simulation ...
Integrated workflows for spiking neuronal network simulations - Altmetric
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Starting to use Mozaik, a cool workflow for spiking neural simulations designed for reproducibility and productivity by Jan Antolik and @apdavison.
This toolbox automates the conversion of pre-trained analog to spiking neural networks (ANN to SNN), and provides tools for testing the SNNs in spiking neuron ...
Jan 15, 2020 · GeNN is a C++-based meta-compiler for accelerating spiking neural network simulations using consumer or high performance grade graphics processing units (GPUs).
NEST is a simulator for spiking neuronal networks. It is used mostly in computational neuroscience to model and study behaviour of large networks of neurons.
Dec 4, 2024 · To improve the simulation performance, we redesign the network data storage structure and the synaptic plasticity flow to make most random ...
NeuronGPU is a GPU library for large-scale simulations of spiking neural network models, written in the C++ and CUDA-C++ programming languages.