pmediano / ComputationalNeurodynamicsLinks
Code and exercises for the Computational Neurodynamics course at Imperial College London
☆27Updated 9 years ago
Alternatives and similar repositories for ComputationalNeurodynamics
Users that are interested in ComputationalNeurodynamics are comparing it to the libraries listed below
Sorting:
- Tools for spike data analysis and visualization☆110Updated 2 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆55Updated 9 years ago
- Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.☆21Updated 7 years ago
- Python tools for analysis of neurophysiology data☆37Updated 2 years ago
- List of summer schools in neuroscience and related fields☆225Updated 6 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Updated 7 years ago
- When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?☆16Updated 6 years ago
- Reference data for the "Simulation Neuroscience:Neurons and Synapses" Massive Online Open Course☆44Updated 3 years ago
- cli for downloading data from crcns.org☆32Updated 2 years ago
- Recordings of 10k neurons during spontaneous behaviors☆54Updated last year
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆50Updated 4 years ago
- An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.☆78Updated 3 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆40Updated 9 years ago
- An open course in neural data science☆56Updated 9 years ago
- Preprint classes for biological journals☆31Updated 5 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆72Updated 5 years ago
- Learn to do common Voytek Lab things.☆85Updated 2 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 8 years ago
- Dimensionality reduction of spikes trains☆49Updated 4 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆104Updated last year
- Deep learning in a spiking neural network using segregated dendrites.☆85Updated 8 years ago
- code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research☆28Updated 9 years ago
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2019 Summer School on Cognitive Maps☆51Updated 5 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆37Updated 7 years ago
- Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data☆98Updated 3 years ago
- An algorithm for unsupervised discovery of sequential structure☆169Updated last year
- Responses of 10,000 neurons to 2,800 natural images☆72Updated 6 years ago
- a Python machine learning library for neurophysiology data☆36Updated 7 years ago
- Problem sets and materials for systems and computational neuroscience course☆16Updated 9 months ago
- Python implementation of the Leabra framework☆18Updated 7 years ago