roxana-zeraati / abcTauLinks
a Python package for unbiased estimation of timescales and hypothesis testing
☆27Updated 4 months ago
Alternatives and similar repositories for abcTau
Users that are interested in abcTau are comparing it to the libraries listed below
Sorting:
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆83Updated 2 weeks ago
- Preferential Subspace Identification Algorithm☆54Updated 3 months ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆54Updated 5 months ago
- A MATLAB toolbox for performing information theory analyses of neuroscience data☆74Updated 7 years ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆49Updated 11 months ago
- all kinds of random code tools☆38Updated 5 years ago
- ☆57Updated 2 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆33Updated last week
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆82Updated last month
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆38Updated last year
- Framework for Information Theoretical analysis of Electrophysiological data and Statistics☆93Updated 4 months ago
- Phase-Amplitude Coupling under Python☆112Updated last year
- State-space Oscillator Modeling And Time-series Analysis (SOMATA) is a Python library for state-space neural signal processing algorithms…☆32Updated last year
- Frequency domain estimation and functional and directed connectivity analysis tools for electrophysiological data☆129Updated 3 months ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆38Updated 2 years ago
- Tools for analyzing spiking data from single-neuron recodings.☆29Updated 2 months ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆54Updated 4 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆24Updated 4 months ago
- jPCA for Neural Data Analysis in Python☆50Updated 2 years ago
- Phase-amplitude coupling (PAC) toolbox☆101Updated 4 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆67Updated 2 years ago
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆29Updated 6 months ago
- Automatic spike sorting, cluster visualization, spike sorting GUIs☆44Updated last year
- Simulation and optimization of neural circuits for MEG/EEG source estimates☆62Updated this week
- Cycle-by-cycle analysis of neural oscillations.☆89Updated 2 months ago
- Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data☆53Updated 5 months ago
- Methods for studying dynamic functional brain activity in neuroimaging data.☆73Updated last week
- Machine Learning Methods for Neural Data Analysis☆19Updated 3 months ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆36Updated last year
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆27Updated last year