hans / nn-decodingLinks
Brain decoding/encoding with neural network language models
☆55Updated 5 years ago
Alternatives and similar repositories for nn-decoding
Users that are interested in nn-decoding are comparing it to the libraries listed below
Sorting:
- Biologically-realistic recurrent convolutional neural networks☆98Updated last year
- A large database of artificial neural network statistics during training☆15Updated 4 years ago
- Responses of 10,000 neurons to 2,800 natural images☆70Updated 6 years ago
- Code for "A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs", ICLR 2019☆48Updated 6 years ago
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆31Updated 5 years ago
- NeuroAI-UW seminar, a regular weekly seminar for the UW community, organized by NeuroAI Shlizerman Lab.☆56Updated 3 months ago
- Narratives: fMRI data for evaluating models of naturalistic language comprehension☆64Updated 6 months ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆45Updated 6 years ago
- Conceptual & empirical comparisons between decision forests & deep networks☆18Updated 3 months ago
- Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer☆34Updated 6 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- Sparse Positive Object Similarity Embedding(s)☆17Updated 2 years ago
- ☆74Updated 3 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- [PNAS'21] The neural architecture of language: Integrative modeling converges on predictive processing☆63Updated last year
- PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murra…☆42Updated 4 years ago
- ☆64Updated 5 years ago
- Deep learning in a spiking neural network using segregated dendrites.☆84Updated 8 years ago
- CNN Neural System Identification Model☆31Updated 7 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 5 years ago
- Github repository for Neuroscience and Deep Learning reading group at the Montreal Neurological Institute☆17Updated 6 years ago
- Making a bridge between NLP models and Brain data☆18Updated 5 years ago
- A Python package for simulating recurrent, biologically-realistic neural networks☆13Updated 7 years ago
- PyTorch code for meta seq2seq learning☆43Updated 5 years ago
- Relevant code for the "Show Your Work" paper, EMNLP 2019.☆18Updated 6 years ago
- ☆17Updated 6 years ago
- Code for "Deep predictive coding network for object recognition"☆25Updated 5 years ago
- Deep & Sparse CCA for Neuroimaging in Tensorflow☆24Updated 8 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago