neurallatents / nlb_tools
Python tools for participating in Neural Latents Benchmark '21
☆56Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for nlb_tools
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆45Updated last week
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆84Updated last month
- ☆70Updated 2 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆51Updated 3 years ago
- Home of the neural decode algorithm MINT.☆13Updated last year
- ☆17Updated 2 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆12Updated last week
- Official Implementation of POYO-1 https://poyo-brain.github.io/☆51Updated 8 months ago
- jPCA for Neural Data Analysis in Python☆44Updated last year
- ☆12Updated last week
- Fitting low-rank RNNs to neural trajectories (LINT method).☆16Updated 2 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated last year
- ☆16Updated 2 years ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆25Updated 7 months ago
- Preferential Subspace Identification Algorithm☆44Updated 9 months ago
- Preferential Subspace Identification Algorithm☆49Updated 3 weeks ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆32Updated 6 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆89Updated 3 months ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆74Updated 3 months ago
- Towards large neural data models.☆24Updated this week
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆11Updated last year
- IBL foundation model☆16Updated this week
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆25Updated last year
- Some methods for comparing network representations in deep learning and neuroscience.☆125Updated 3 months ago
- A package to train neural networks to perform various motor tasks☆56Updated 4 months ago
- ☆46Updated 2 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆36Updated last month
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆19Updated last year
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆44Updated 2 months ago
- ☆47Updated 7 months ago