A library that you can use to build spiking neural network brains for your Arduino robots! Largely allows you to follow the paradigms of liquid state machines with LIF neurons.
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Updated
Nov 21, 2015 - C++
A library that you can use to build spiking neural network brains for your Arduino robots! Largely allows you to follow the paradigms of liquid state machines with LIF neurons.
Moka is an application tool developed for the GraphESN-SOM machine learning model.
RCNLP - Echo State Network for Natural Language Processing is a research project about Reservoir Computing for NLP tasks
python language model experimentation
Python3 Implementation of a Multi-Delay Coupled Reservoir, with a Demonstration on a NARMA10 Dataset.
Echo state network framework, NARMA10 dataset generator as an demonstration supplied.
Prediction spatio-temporal dynamics using Reservoir Computing
A Liquid State Machine (LSM) with E-I balanced neurons
A simple Python implementation of EchoStateNetwork
Code for Reservoir computing (Echo state network)
Simulate and analyse complex microcircuits
Extended Oger Toolbox 1.3 updated for Python 3 series.
Source code for the CHAracterisation of Reservoir Computers (CHARC) framework
Classification of radio signals on a neuromorphic chip in space
course project
Code based on the Reservoir Observers paper: https://aip.scitation.org/doi/10.1063/1.4979665
深層学習以外の機械学習と応用技術 by QuantumCore Advent Calendar 2019
Source code for the CHAracterisation of Reservoir Computers (CHARC) framework
computational efficacy of a modular spiking neural network as a function of heterogeneity of delay in the network
This repository gives two examples with reservoir observer and it is based on this paper: Reservoir observers: Model-free inference of unmeasured variables in chaotic systems The two dynamic systems chosen are Rössler and Lorenz.
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