gyyang / multitaskLinks
Code for Task representations in neural networks trained to perform many cognitive tasks
☆169Updated 6 years ago
Alternatives and similar repositories for multitask
Users that are interested in multitask are comparing it to the libraries listed below
Sorting:
- Tutorial codes for modeling brains with neural nets☆237Updated 4 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
- A curated collection of neuroscience tasks with a common interface.☆307Updated last week
- ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks☆35Updated 2 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆55Updated 5 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆71Updated 5 years ago
- methods & simulation code to measure sequential replay☆43Updated 4 years ago
- ☆82Updated 3 years ago
- Short-term plasticity RNN models in Tensorflow☆36Updated 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
- ☆55Updated last year
- Use DNN to study the brain and use brain measurement to evaluate DNN☆45Updated last year
- Fitting low-rank RNNs to neural trajectories (LINT method).☆18Updated 9 months ago
- Python tools for participating in Neural Latents Benchmark '21☆66Updated last year
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆46Updated 6 years ago
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆120Updated last week
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆36Updated 3 years ago
- ☆60Updated 3 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆32Updated 4 months ago
- Code for Neural Population Control☆19Updated 6 years ago
- ☆20Updated 3 years ago
- Recurrent convolutional neural networks for object recognition☆18Updated 5 years ago
- Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.☆21Updated 7 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆39Updated 2 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆22Updated 2 years ago
- Some methods for comparing network representations in deep learning and neuroscience.☆141Updated last year
- Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…☆53Updated 2 years ago
- Python library for Representational Similarity Analysis☆232Updated 2 weeks ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆104Updated last year
- ☆18Updated 6 years ago