willwx / XDream
gradient-free act max for visual neurons
☆48Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for XDream
- Some methods for comparing network representations in deep learning and neuroscience.☆125Updated 3 months ago
- Responses of 10,000 neurons to 2,800 natural images☆67Updated 5 years ago
- Code for Neural Population Control☆18Updated 5 years ago
- repository for grid cell network code☆51Updated last year
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆87Updated 3 months ago
- Code for Task representations in neural networks trained to perform many cognitive tasks☆159Updated 5 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆32Updated 6 years ago
- ☆68Updated 2 years ago
- ☆46Updated 3 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
- Tutorial codes for modeling brains with neural nets☆208Updated 3 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 2 years ago
- Recurrent convolutional neural networks for object recognition☆17Updated 4 years ago
- ☆70Updated 2 years ago
- Python tools for participating in Neural Latents Benchmark '21☆56Updated 3 months ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆16Updated 2 years ago
- Short-term plasticity RNN models in Tensorflow☆33Updated 4 years ago
- Code for the deep neural network modeling of a large-scale fMRI dataset.☆20Updated last week
- ☆71Updated this week
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆19Updated last year
- ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks☆28Updated last year
- A curated collection of neuroscience tasks with a common interface.☆251Updated 3 weeks ago
- A framework for evaluating models on their alignment to brain and behavioral measurements (50+ benchmarks)☆126Updated this week
- ☆20Updated 2 years ago
- ☆26Updated last year
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆33Updated 2 years ago
- Use DNN to study the brain and use brain measurement to evaluate DNN☆42Updated this week
- 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
- Figures, tables and stats for Schneider, Lee and Mathis 2022: Learnable latent embeddings for joint behavioral and neural analysis.☆17Updated last year
- This repository contains the Matlab code for "Extracting grid characteristics from spatially distributed place cell inputs using non-nega…☆19Updated 8 years ago