marcelomattar / PrioritizedReplayLinks
Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioRxiv, 225664.
☆31Updated 7 years ago
Alternatives and similar repositories for PrioritizedReplay
Users that are interested in PrioritizedReplay are comparing it to the libraries listed below
Sorting:
- Tutorials for MIND2019☆16Updated 6 years ago
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2019 Summer School on Cognitive Maps☆51Updated 5 years ago
- Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife☆44Updated 3 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆37Updated 7 years ago
- methods & simulation code to measure sequential replay☆43Updated 4 years ago
- Recurrent state-space models for decision making☆30Updated 3 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆40Updated 9 years ago
- Code for Task representations in neural networks trained to perform many cognitive tasks☆169Updated 6 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆54Updated 9 years ago
- ☆13Updated 6 years ago
- A curated collection of neuroscience tasks with a common interface.☆307Updated last week
- ☆16Updated 5 years ago
- Code for Galgali et al, 2023☆14Updated 2 years ago
- ☆15Updated 5 years ago
- jPCA for Neural Data Analysis in Python☆52Updated 2 years ago
- Short-term plasticity RNN models in Tensorflow☆36Updated 5 years ago
- Code for Tajima et al. (2019). Optimal policy for multi-alternative decisions. Nature Neuroscience.☆10Updated 6 years ago
- Reinforcement learning + drift-diffusion modeling☆38Updated 8 years ago
- Reinforcement learning tutorial☆24Updated 8 years ago
- When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?☆16Updated 6 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆55Updated 5 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆104Updated last year
- A Python implementation of the VBA_groupBMC function from the VBA-toolbox by Lionel Rigoux.☆12Updated 2 years ago
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆33Updated 9 months ago
- repository for grid cell network code☆71Updated 2 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 8 years ago
- ☆24Updated 4 years ago
- A drift-diffusion modeling (DDM) framework for Python☆105Updated 3 months ago
- ☆56Updated 9 months ago
- ☆20Updated 9 years ago