slinderman / stats320
STATS320: Statistical Methods for Neural Data Analysis
☆194Updated 2 years ago
Alternatives and similar repositories for stats320:
Users that are interested in stats320 are comparing it to the libraries listed below
- ☆48Updated 2 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆34Updated 6 years ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆92Updated this week
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆94Updated 7 months ago
- OpenScope databook: a collaborative, versioned, data-centric collection of foundational analyses for reproducible systems neuroscience 🐁…☆64Updated this week
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆78Updated 7 months ago
- ☆29Updated 2 years ago
- Contains programming labs and lecture notes for the lecture "Neural Data Science"☆102Updated 3 years ago
- A curated collection of neuroscience tasks with a common interface.☆275Updated this week
- Tutorial codes for modeling brains with neural nets☆219Updated 3 years ago
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆95Updated last month
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆64Updated last year
- Some methods for comparing network representations in deep learning and neuroscience.☆132Updated 7 months ago
- Code to accompany the textbook "Modeling Neural Circuits Made Simple"☆146Updated 8 months ago
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆58Updated 3 weeks ago
- jPCA for Neural Data Analysis in Python☆47Updated last year
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆52Updated 4 years ago
- NSCI 801 (Queen's U) Quantitative Neuroscience course materials☆111Updated last month
- Code accompanying Steinmetz et al., 2019☆59Updated 3 years ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆48Updated 5 months ago
- Toolbox for analyzing behavioral videos and neural activity☆58Updated last year
- ☆48Updated 11 months ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆17Updated 2 months ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆48Updated last week
- a visualization method for neural data☆211Updated 5 months ago
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆53Updated 3 months ago
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆25Updated this week
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- COGS118C [Neural Signal Processing] @ UCSanDiego☆163Updated 5 years ago
- PYthon Neural Analysis Package☆301Updated last week