davidzoltowski / ssmdmLinks
Recurrent state-space models for decision making
☆30Updated 2 years ago
Alternatives and similar repositories for ssmdm
Users that are interested in ssmdm are comparing it to the libraries listed below
Sorting:
- Code for Galgali et al, 2023☆13Updated 2 years ago
- The COntextual INference (COIN) model☆22Updated 10 months ago
- Recurrent Switching Linear Dynamical Systems☆111Updated 2 years ago
- ☆23Updated 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
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆67Updated last year
- Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…☆29Updated 7 years ago
- ☆19Updated last year
- 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
- ☆11Updated 2 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆21Updated last year
- Recordings of 10k neurons during spontaneous behaviors☆52Updated last year
- Gaussian Process Factor Analysis☆30Updated 9 years ago
- Flexible modulation of sequence generation in the entorhinal-hippocampal system.☆13Updated 3 years ago
- Inverse optimal control for continuous psychophysics☆27Updated last week
- Analysis of hippocampal activity in the towers task☆20Updated 4 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆21Updated 2 months ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆49Updated 9 months ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆34Updated 7 years ago
- ☆15Updated 5 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆50Updated 9 years ago
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 years ago
- Exercises and examples for the latent dynamics workshop☆17Updated last year
- repository for grid cell network code☆63Updated 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
- Dynamic Causal Modelling for MNE and the nipy ecosystem☆21Updated 7 years ago
- Dimensionality reduction of spikes trains☆48Updated 3 years ago
- Predictive coding in Python☆66Updated last year
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆53Updated 4 years ago
- ☆54Updated 2 years ago