neuromethods / fokker-planck-based-spike-rate-models
Rate model implementations for (adaptive) integrate-and-fire neurons based on the Fokker-Planck equation: (i) numerical (finite volume) solution of the full FP PDE, (ii) low-dim. ODE via spectral decomposition of the FP operator, (iii) low-dim. ODE via a linear-nonlinear cascade semianalytically fit to the FP model.
☆10Updated 5 years ago
Related projects: ⓘ
- A framework for simulating mean-field neural mass models of spiking neurons, comparing them to large network simulations, and predicting …☆16Updated 4 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆30Updated 6 years ago
- This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural respo…☆12Updated last year
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆73Updated last month
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆16Updated 7 years ago
- jPCA for Neural Data Analysis in Python☆42Updated last year
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆23Updated last year
- Code for Galgali et al, 2023☆10Updated last year
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 4 years ago
- Model fitting toolbox for the Brian 2 simulator☆14Updated 11 months ago
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆33Updated 2 years ago
- ☆22Updated 9 months ago
- An Introduction to Modeling Neuronal Dynamics - Borgers in python, Single Neuron Models, Mathematical Modeling, Computational Neuroscienc…☆37Updated last year
- A reservoir computing toolbox for neuroscientists☆78Updated last month
- ☆46Updated 2 years ago
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆23Updated 11 months ago
- Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.☆21Updated this week
- A NWB-based Dataset and Processing Pipeline of Human Single-Neuron Activity During a Declarative Memory Task☆18Updated 3 years ago
- Short-term plasticity RNN models in Tensorflow☆33Updated 4 years ago
- ☆11Updated 5 years ago
- This code package is for the Corrected-Fisher-Randomization (CFR) method. This method generates random surrogate data that preserves a sp…☆10Updated 7 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆84Updated last month
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆66Updated 5 years ago
- A SciUnit library for validation testing of spiking neural network models.☆15Updated last month
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆35Updated 2 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆62Updated last year
- ☆18Updated this week
- Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"☆9Updated 3 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆50Updated 2 years ago
- Meta-learning local synaptic plasticity for continual familiarity detection☆13Updated last year