sinzlab / neural_cotraining
The code for performing MTL on object recognition with neural data
☆14Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for neural_cotraining
- official repository for the Instance Prototype Contrastive Learning (IPCL)☆15Updated 2 years ago
- Official implementation for Neural networks with recurrent generative feedback (NeurIPS 2020).☆22Updated 4 years ago
- Code from the paper "Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Scor…☆16Updated 2 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆12Updated 8 months ago
- ☆23Updated 4 years ago
- Code for "A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs", ICLR 2019☆48Updated 5 years ago
- Unsupervised deep convolutional neural network model for the ventral visual stream.☆26Updated last year
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆28Updated 5 years ago
- ☆14Updated 3 years ago
- NeuroAI-UW seminar, a regular weekly seminar for the UW community, organized by NeuroAI Shlizerman Lab.☆51Updated 6 months ago
- ☆46Updated 3 years ago
- Code for "Deep predictive coding network for object recognition"☆24Updated 4 years ago
- Tensorflow implementation of fisheye transformation, mimicking the spatial sampling properties in the primate retina☆16Updated 5 years ago
- [CogSci'21] Study of human inductive biases in CNNs and Transformers.☆43Updated 3 years ago
- Official code base for NeurIPS 2021 SVRHM Workshop poster "On the use of Cortical Magnification and Saccades as Biological Proxies for Da…☆12Updated last year
- ☆27Updated 5 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆37Updated last year
- A large database of artificial neural network statistics during training☆14Updated 3 years ago
- ☆20Updated 2 years ago
- PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction☆32Updated 2 years ago
- Use DNN to study the brain and use brain measurement to evaluate DNN☆43Updated 2 weeks ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆29Updated 3 weeks ago
- PyTorch-based library for various kinds of representational-similarity analysis☆22Updated 5 months ago
- PyTorch implementation of Swap-VAE: A self-supervised approach for generating neural activity☆13Updated 3 years ago
- Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding☆72Updated 3 years ago
- ☆30Updated 2 months ago
- Tensorflow implementation of Spike-GAN, which allows generating realistic patterns of neural activity whose statistics approximate a give…☆23Updated 6 years ago
- An adapted version of the Metamer Foveation Transform code from Deza et al. ICLR 2019☆14Updated 3 years ago
- Poisson Identifiable VAE (pi-VAE)☆49Updated 3 years ago
- Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife☆40Updated 2 years ago