pmediano / ComputationalNeurodynamics
Code and exercises for the Computational Neurodynamics course at Imperial College London
☆23Updated 8 years ago
Alternatives and similar repositories for ComputationalNeurodynamics:
Users that are interested in ComputationalNeurodynamics are comparing it to the libraries listed below
- Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.☆23Updated 6 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆48Updated 8 years ago
- Tools for spike data analysis and visualization☆104Updated last year
- Python tools for analysis of neurophysiology data☆36Updated last year
- Preprint classes for biological journals☆31Updated 4 years ago
- List of summer schools in neuroscience and related fields☆216Updated 5 years ago
- An open course in neural data science☆50Updated 8 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆50Updated 3 years ago
- When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?☆16Updated 5 years ago
- Recordings of 10k neurons during spontaneous behaviors☆50Updated 9 months ago
- Responses of 10,000 neurons to 2,800 natural images☆68Updated 5 years ago
- An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.☆78Updated 2 years ago
- Analysis code for the results of the spikefinder challenge☆12Updated 6 years ago
- Problem sets and materials for systems and computational neuroscience course☆15Updated this week
- Code for the paper "A Flexible Model of Working Memory" Bouchacourt and Buschman, 2019☆22Updated 5 years ago
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2019 Summer School on Cognitive Maps☆51Updated 4 years ago
- Dimensionality reduction of spikes trains☆49Updated 3 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆69Updated 4 years ago
- cli for downloading data from crcns.org☆30Updated last year
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2017 Summer School on Network Dynamics☆33Updated 5 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆52Updated 4 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆93Updated 5 months ago
- Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data☆92Updated 2 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆36Updated 8 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆38Updated 5 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆17Updated 7 years ago
- Accompanying code for Aljadeff et al., 'Analysis of Neuronal Spike Trains, Deconstructed', Neuron (2016)☆11Updated 8 years ago
- Automatically exported from code.google.com/p/princeton-mvpa-toolbox☆65Updated 8 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Updated 6 years ago