plenoptic-org / plenopticLinks
Visualize/test models for visual representation by synthesizing images.
☆74Updated last week
Alternatives and similar repositories for plenoptic
Users that are interested in plenoptic are comparing it to the libraries listed below
Sorting:
- Some methods for comparing network representations in deep learning and neuroscience.☆139Updated 11 months ago
- Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)☆20Updated 4 years ago
- Motion energy features from video☆35Updated 4 months ago
- ☆77Updated last week
- Writing good research code☆117Updated 3 years ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆100Updated this week
- Recurrent convolutional neural networks for object recognition☆18Updated 4 years ago
- STATS320: Statistical Methods for Neural Data Analysis☆197Updated last month
- ☆49Updated 3 years ago
- Python package for extracting representations from state-of-the-art computer vision models☆168Updated last month
- Modeling cortical visual topography with interactive topographic network (ITN) models☆15Updated 3 years ago
- ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks☆33Updated last year
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆82Updated 10 months ago
- Topographic Deep Artificial Neural Networks☆52Updated 9 months ago
- ☆23Updated last year
- NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis☆12Updated 3 months ago
- YASS: Yet Another Spike Sorter☆68Updated 2 years ago
- ☆73Updated 3 years ago
- Fractional ridge regression☆48Updated 3 years ago
- Machine Learning Methods for Neural Data Analysis☆18Updated 2 months ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆38Updated 2 years ago
- ☆55Updated 2 years ago
- ☆39Updated last year
- Implemenation of Manifold Inference from Neural Dynamics (MIND) from Low & Lewallen et. al, '18☆30Updated 6 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆67Updated 2 years ago
- Inverse optimal control for continuous psychophysics☆27Updated 3 weeks ago
- Demixed Shared Component Analysis☆13Updated 4 years ago
- Urai AE, Doiron B, Leifer AM & Churchland AK (2022) Large-scale neural recordings call for new insights to link brain and behavior. Natur…☆18Updated 3 years ago
- Feature extraction, dimensionality reduction, model benchmarking.☆33Updated 10 months ago
- ☆78Updated 3 years ago