RainerEngelken / neurotheory-seminar-2020Links
Seminar on Advanced Topics in Theoretical Neuroscience - Columbia University 2020
☆10Updated 5 years ago
Alternatives and similar repositories for neurotheory-seminar-2020
Users that are interested in neurotheory-seminar-2020 are comparing it to the libraries listed below
Sorting:
- repository for grid cell network code☆63Updated 2 years ago
- ☆50Updated 3 years ago
- Reinforcement learning tutorial☆24Updated 7 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆101Updated 11 months ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆35Updated 7 years 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
- ☆73Updated 3 years ago
- Recordings of 10k neurons during spontaneous behaviors☆52Updated last year
- Dimensionality reduction of spikes trains☆48Updated 3 years ago
- cli for downloading data from crcns.org☆31Updated last year
- A curated list of awesome neuro-foundation models☆17Updated last week
- Responses of 10,000 neurons to 2,800 natural images☆68Updated 5 years ago
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 5 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
- Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)☆20Updated 4 years ago
- Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.☆21Updated 7 years ago
- When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?☆16Updated 5 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 2 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆67Updated 2 years ago
- Implementation of fixed point analysis for Recurrent Neural Network.☆21Updated 5 years ago
- Recurrent Switching Linear Dynamical Systems☆111Updated 2 years ago
- Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.☆14Updated 6 years ago
- ☆14Updated 5 years ago
- sequential learning in orthogonal subspaces☆13Updated 4 years ago
- Exercises and examples for the latent dynamics workshop☆17Updated this week
- ☆41Updated 2 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
- Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood☆19Updated 7 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆38Updated 2 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago