takyamamoto / SparseCoding-OlshausenField-ModelLinks
Sparse coding (Olshausen & Field, 1996)
☆10Updated 4 years ago
Alternatives and similar repositories for SparseCoding-OlshausenField-Model
Users that are interested in SparseCoding-OlshausenField-Model are comparing it to the libraries listed below
Sorting:
- Fast optimisation of tuning curves by iterative refitting and decoding☆13Updated 3 months ago
- Machine Learning Methods for Neural Data Analysis☆18Updated 2 months ago
- Exercises and examples for the latent dynamics workshop☆17Updated this week
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆38Updated 2 years ago
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆75Updated 4 months ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆82Updated 10 months ago
- ☆19Updated 8 years ago
- Recordings of 10k neurons during spontaneous behaviors☆52Updated last year
- Schemata and libraries for neuroscientific data☆27Updated 8 months ago
- The standardised environment for the hippocampus and entorhinal cortex models☆71Updated this week
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆21Updated last year
- CEBRA Demo Notebooks. Please see all of them at the URL below:☆16Updated 2 weeks ago
- Seminar on Advanced Topics in Theoretical Neuroscience - Columbia University 2020☆10Updated 5 years ago
- ☆28Updated last year
- A curated list of awesome neuro-foundation models☆17Updated this week
- 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
- ☆49Updated 3 years ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆100Updated this week
- OpenScope databook: a collaborative, versioned, data-centric collection of foundational analyses for reproducible systems neuroscience 🐁…☆69Updated this week
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆67Updated last year
- Neuronal Network Meanfield Toolbox - official documentation: https://nnmt.readthedocs.io☆13Updated last year
- 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
- 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
- cli for downloading data from crcns.org☆31Updated last year
- repository for grid cell network code☆63Updated 2 years ago
- The official re-implementation of the Neurips 2021 paper, "Targeted Neural Dynamical Modeling".☆9Updated 3 years ago
- Animation of population dynamics following a Trefoil knot☆21Updated 2 years ago
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆35Updated 2 years ago
- Coding exercises for Neural Data Science at CSHL in 2019☆29Updated 5 years ago
- ☆30Updated 2 years ago