sinzlab / sensorium
Code base for the SENSORIUM competition.
☆59Updated 5 months ago
Alternatives and similar repositories for sensorium:
Users that are interested in sensorium are comparing it to the libraries listed below
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated last year
- ☆72Updated 2 years ago
- Python tools for participating in Neural Latents Benchmark '21☆59Updated 6 months ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆38Updated 3 months ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆32Updated 6 years ago
- ☆46Updated 2 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆52Updated 4 years ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆16Updated 2 years ago
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆90Updated 3 months ago
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆48Updated 3 weeks ago
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆33Updated 2 years ago
- Official Implementation of POYO-1 https://poyo-brain.github.io/☆57Updated 10 months ago
- ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks☆32Updated last year
- Toolbox for analyzing behavioral videos and neural activity☆57Updated last year
- jPCA for Neural Data Analysis in Python☆45Updated last year
- Some methods for comparing network representations in deep learning and neuroscience.☆129Updated 5 months ago
- Sparse component analysis☆26Updated 3 weeks ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆92Updated 5 months ago
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆25Updated last year
- repository for grid cell network code☆59Updated 2 years ago
- Neuroelectrophysiology object model and data analysis in Python.☆49Updated last month
- NEural MOdelS, a statistical modeling framework for neuroscience.☆84Updated this week
- Code accompanying Steinmetz et al., 2019☆55Updated 3 years ago
- Preferential Subspace Identification Algorithm☆50Updated 2 months ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆14Updated this week
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆69Updated 4 years ago
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆25Updated 2 years 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…☆76Updated 4 months ago
- ☆12Updated 2 weeks ago