benhuh / RNN_multitask
pytorch implementation of multitask training of RNN
☆16Updated 5 years ago
Alternatives and similar repositories for RNN_multitask:
Users that are interested in RNN_multitask are comparing it to the libraries listed below
- ☆15Updated 6 months ago
- Reinforcement learning + drift-diffusion modeling☆37Updated 8 years ago
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆32Updated last year
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆26Updated last year
- ☆13Updated 6 years ago
- fmri analysis tools☆20Updated 3 years ago
- Analysis code for multi-armed bandit task☆11Updated 4 years ago
- Python Package which collects simulators for Sequential Sampling Models☆13Updated this week
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆37Updated last year
- ☆20Updated last year
- Contains the code for reproducing the experiments and results of the paper "Neural Superstatistics: A Bayesian Method for Estimating Dyna…☆11Updated last year
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆17Updated 10 months ago
- Materials for RNN tutorial @ Harvard-MIT Theoretical and Computational Neuroscience Journal Club☆18Updated 5 years ago
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 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
- C++ Diffusion model toolset with Python and Matlab interfaces☆16Updated 4 years ago
- ☆22Updated 8 months ago
- A toolbox for data analysis using the attentional drift-diffusion model.☆16Updated 7 years ago
- Online supplement for Neurocomputational mechanisms underlying motivated seeing (Leong. et al., 2019)☆9Updated 4 years ago
- ☆22Updated 2 months ago
- ☆18Updated 8 years ago
- The Mathematical Cognitive Neuroscience Toolbox (mcntoolbox). Code associated with the publication "How attention influences perceptual d…☆13Updated 4 years ago
- A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)☆17Updated last year
- Code for Task representations in neural networks trained to perform many cognitive tasks☆164Updated 6 years ago
- Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife☆41Updated 3 years ago
- Dynamic Causal Modelling for MNE and the nipy ecosystem☆20Updated 7 years ago
- A drift-diffusion modeling (DDM) framework for Python3☆17Updated last year
- Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.☆31Updated last year
- Analysis code used to create figures in Gao et al., 2017☆15Updated 7 years ago
- Package to Train LANs (Likelihood approximation networks)☆11Updated last week