fabridamicelli / echoesLinks
Machine Learning with Echo State Networks, a scikit-learn compatible package.
☆44Updated 2 weeks ago
Alternatives and similar repositories for echoes
Users that are interested in echoes are comparing it to the libraries listed below
Sorting:
- Training spiking neural networks for sound localization☆66Updated 4 months ago
- PyHGF: A neural network library for predictive coding☆101Updated last week
- Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.☆118Updated this week
- Python implementation of the Kuramoto model☆158Updated 2 weeks ago
- Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).☆54Updated 3 years ago
- Convert biological neuronal networks to artificial recurrent neuronal networks☆21Updated 3 years ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆84Updated 2 months ago
- A framework for simulating mean-field neural mass models of spiking neurons, comparing them to large network simulations, and predicting …☆19Updated 5 years ago
- A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.☆93Updated last year
- Rate model implementations for (adaptive) integrate-and-fire neurons based on the Fokker-Planck equation: (i) numerical (finite volume) s…☆10Updated 6 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- Exercises and examples for the latent dynamics workshop☆19Updated 2 months ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆102Updated last year
- Predictive coding in Python☆69Updated last year
- ☆24Updated 2 years ago
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆66Updated last month
- An Introduction to Modeling Neuronal Dynamics - Borgers in python, Single Neuron Models, Mathematical Modeling, Computational Neuroscienc…☆46Updated 8 months ago
- STATS320: Statistical Methods for Neural Data Analysis☆199Updated 4 months ago
- ☆26Updated 4 months ago
- Implementation of fixed point analysis for Recurrent Neural Network.☆21Updated 5 years ago
- ☆13Updated last month
- repository for grid cell network code☆65Updated 2 years ago
- PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python☆76Updated 8 months ago
- Gaussian Process Factor Analysis with Dynamical Structure☆17Updated 4 years ago
- Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"☆13Updated 4 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆38Updated last year
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 6 years ago
- Inverse optimal control for continuous psychophysics☆28Updated 3 months ago
- A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.☆238Updated last week