fabridamicelli / echoes
Machine Learning with Echo State Networks, a scikit-learn compatible package.
☆38Updated 3 months ago
Alternatives and similar repositories for echoes:
Users that are interested in echoes are comparing it to the libraries listed below
- Convert biological neuronal networks to artificial recurrent neuronal networks☆21Updated 2 years ago
- Exercises and examples for the latent dynamics workshop☆17Updated last year
- Training spiking neural networks for sound localization☆66Updated 2 months ago
- A reservoir computing toolbox for neuroscientists☆95Updated 3 months ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆79Updated 7 months ago
- Python tools for participating in Neural Latents Benchmark '21☆60Updated 8 months ago
- Estimation, analysis and decomposition of brainwave spatiotemporal dynamics☆28Updated 3 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- a Python package for unbiased estimation of timescales and hypothesis testing☆26Updated 3 months ago
- Demixed Shared Component Analysis☆13Updated 4 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆95Updated 8 months ago
- Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.☆88Updated this week
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆35Updated last year
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆34Updated 6 years ago
- ☆29Updated 2 years ago
- Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).☆47Updated 3 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆19Updated last week
- ☆23Updated last year
- repository for grid cell network code☆61Updated 2 years ago
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆38Updated 3 years ago
- A framework for simulating mean-field neural mass models of spiking neurons, comparing them to large network simulations, and predicting …☆17Updated 5 years ago
- NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis☆10Updated last week
- This repository contains research code for the paper "Generating realistic neurophysiological time series with denoising diffusion probab…☆73Updated 3 months ago
- ☆38Updated last year
- Simulations illustrating the results of full-FORCE.☆13Updated 5 years ago
- PyHGF: A neural network library for predictive coding☆70Updated last week
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆57Updated 3 months ago
- Gaussian Process Factor Analysis with Dynamical Structure☆16Updated 4 years ago
- A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…☆23Updated 5 months ago