dicarlolab / npc
Code for Neural Population Control
☆18Updated 5 years ago
Related projects: ⓘ
- Recurrent convolutional neural networks for object recognition☆17Updated 3 years ago
- Tensorflow implementation of fisheye transformation, mimicking the spatial sampling properties in the primate retina☆16Updated 4 years ago
- Unsupervised deep convolutional neural network model for the ventral visual stream.☆25Updated last year
- ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks☆26Updated 10 months ago
- Code and analysis for the paper: The feature-weighted receptive field: an interpretable encoding model for complex feature spaces☆11Updated 6 years ago
- ☆34Updated 6 years ago
- Use DNN to study the brain and use brain measurement to evaluate DNN☆42Updated 2 years ago
- CNN Neural System Identification Model☆29Updated 6 years ago
- Code for Cadena, S. A, et al. (2019). Deep convolutional models improve predictions of macaque V1 responses to natural images. Plos Compu…☆15Updated 5 years ago
- Supplementary material for the paper "Generative Adversarial Networks Conditioned on Brain Activity Reconstruct Seen Images"☆13Updated 4 years ago
- Code for the deep neural network modeling of a large-scale fMRI dataset.☆20Updated 3 weeks ago
- Task-driven models of the dorsal visual stream☆18Updated 2 years ago
- PyTorch implementation of Swap-VAE: A self-supervised approach for generating neural activity☆13Updated 2 years ago
- ☆20Updated 2 years ago
- ☆71Updated 3 weeks ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆19Updated last year
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 2 years ago
- Starter code for the BOLDMoments fMRI video dataset☆12Updated last month
- gradient-free act max for visual neurons☆48Updated 3 years ago
- Code for "A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs", ICLR 2019☆47Updated 5 years ago
- Figures, tables and stats for Schneider, Lee and Mathis 2022: Learnable latent embeddings for joint behavioral and neural analysis.☆17Updated 11 months ago
- Feature extraction, dimensionality reduction, model benchmarking.☆26Updated this week
- Code for NeurIPS 2019 paper "From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI"☆38Updated 2 years ago
- ☆16Updated 4 years ago
- Code related to analyzing the Natural Scenes Dataset☆30Updated 9 months ago
- Github repository for Neuroscience and Deep Learning reading group at the Montreal Neurological Institute☆17Updated 5 years ago
- Official Implementation of POYO-1 https://poyo-brain.github.io/☆41Updated 6 months ago
- Python library for Representational Similarity Analysis☆35Updated 5 years ago
- Sparse Positive Object Similarity Embedding(s)☆9Updated last year
- ☆12Updated 2 years ago