paulgribble / CompNeuroLinks
Computational Modelling in Neuroscience
☆18Updated 9 years ago
Alternatives and similar repositories for CompNeuro
Users that are interested in CompNeuro are comparing it to the libraries listed below
Sorting:
- ☆19Updated 8 years ago
- Source code for https://meta-meta-resources.org☆20Updated last year
- Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018☆32Updated 5 years ago
- Neuroproc dataset descriptions and dictionaries☆15Updated 8 years ago
- Estimating the functional dimensionality of neural representations☆19Updated 3 years ago
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆32Updated 2 years ago
- Python implementation of fast-oopsi, smc-oopsi, wiener, and discretize with binning☆14Updated 3 years ago
- Soft Actor Critic for training musculoskeletal models☆15Updated 9 months ago
- Introductory workshop to modeling and model fitting in psychophysics and neuroscience☆11Updated 6 years ago
- Simulate Evidence Accumulation Models in Python☆23Updated 3 years ago
- C++ library for simulation of multiscale neural field dynamics☆34Updated 6 years ago
- Preprocess EyeLink pupillometry data using the FieldTrip toolbox☆16Updated 6 years ago
- code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research☆27Updated 8 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆50Updated 9 years ago
- Everything needed to replicate the figures from the paper "Engineering recurrent neural networks from task-relevant manifolds and dynamic…☆12Updated 5 years ago
- python port: An Introduction to Bayesian Data Analysis for Cognitive Science☆15Updated last year
- Infer activity throughout the brain from a small(ish) number of electrodes using Gaussian process regression☆35Updated 3 years ago
- Some of my python tools for computational neuroscience☆12Updated last week
- Tools for computational psychiatry research.☆10Updated 6 months ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆36Updated 9 years ago
- Code and data from Waskom, Asfour, and Kiani (2018) J Vision☆9Updated 7 years ago
- Recurrent state-space models for decision making☆30Updated 2 years ago
- The mildly ominous parameter exploration toolkit 🛵 - Run huge simulations on distributed clusters, because why not? 🤯☆13Updated 4 years ago
- Visualization in Python: an overview☆17Updated 6 years ago
- A workshop for teaching python to neuroscientists with some previous programming experience.☆35Updated 9 years ago
- Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…☆29Updated 7 years ago
- Example files to test interaction between models developed at the Allen Brain Institute and NeuroML☆17Updated 10 months ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 7 years ago
- ☆13Updated 8 years ago
- Exercises for 2015 Berkeley practical neuroimaging class☆26Updated 9 years ago