pierreglaser / jupyter-slurm-setup-instructionsLinks
☆21Updated last year
Alternatives and similar repositories for jupyter-slurm-setup-instructions
Users that are interested in jupyter-slurm-setup-instructions are comparing it to the libraries listed below
Sorting:
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆66Updated last year
- Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.☆96Updated last week
- Exercises and examples for the latent dynamics workshop☆17Updated last year
- ☆15Updated 2 years ago
- Neuronal Network Meanfield Toolbox - official documentation: https://nnmt.readthedocs.io☆13Updated last year
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆38Updated 2 years ago
- Fast optimisation of tuning curves by iterative refitting and decoding☆13Updated 2 months ago
- Shareable, interactive scientific figures in the cloud☆35Updated 6 months ago
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆39Updated 3 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- ☆23Updated last year
- A Python 3 toolbox for neural receptive field estimation using splines and Gaussian priors.☆25Updated 9 months ago
- ☆31Updated last year
- ☆52Updated 2 years ago
- IaC codebase for the NeuroCAAS Platform☆37Updated last year
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆16Updated last month
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆20Updated last month
- Animation of population dynamics following a Trefoil knot☆21Updated 2 years ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆98Updated this week
- Closed-Loop, Electrophysiology, and Optophysiology experiment simulation testbed for mesoscale neuroscience☆16Updated this week
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆59Updated 11 months ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆52Updated 2 months ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆53Updated 4 years ago
- Urai AE, Doiron B, Leifer AM & Churchland AK (2022) Large-scale neural recordings call for new insights to link brain and behavior. Natur…☆18Updated 3 years ago
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆72Updated 3 months ago
- Machine Learning Methods for Neural Data Analysis☆16Updated 3 weeks 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
- Model fitting toolbox for the Brian 2 simulator☆15Updated last year
- Tutorial☆10Updated 4 years ago
- Implemenation of Manifold Inference from Neural Dynamics (MIND) from Low & Lewallen et. al, '18☆29Updated 6 years ago