cjspoerer / rcnn-sat
Recurrent convolutional neural networks for object recognition
☆18Updated 4 years ago
Alternatives and similar repositories for rcnn-sat
Users that are interested in rcnn-sat are comparing it to the libraries listed below
Sorting:
- ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks☆33Updated last year
- Use DNN to study the brain and use brain measurement to evaluate DNN☆44Updated 6 months ago
- Tensorflow implementation of fisheye transformation, mimicking the spatial sampling properties in the primate retina☆17Updated 5 years ago
- Code for the deep neural network modeling of a large-scale fMRI dataset.☆24Updated 2 weeks ago
- Code and analysis for the paper: The feature-weighted receptive field: an interpretable encoding model for complex feature spaces☆12Updated 7 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆51Updated 2 months ago
- ☆75Updated 2 months ago
- Unsupervised deep convolutional neural network model for the ventral visual stream.☆27Updated 2 years ago
- Quality assurance analyses of fMRI data collected while participants watched The Grand Budapest Hotel by Wes Anderson.☆28Updated 4 years ago
- Motion energy features from video☆33Updated 2 months ago
- Code for Neural Population Control☆19Updated 5 years ago
- Code for the recent paper "An empirical evaluation of functional alignment using inter-subject decoding."☆20Updated 2 years ago
- Modeling cortical visual topography with interactive topographic network (ITN) models☆15Updated 3 years ago
- ☆22Updated 3 years ago
- ☆16Updated 2 years ago
- ☆71Updated 2 years ago
- Hyperalignment is a functional alignment method that aligns subjects' brain data in a high-dimensional space of voxels/features.☆17Updated 6 months ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆16Updated last month
- Feature extraction, dimensionality reduction, model benchmarking.☆33Updated 7 months ago
- A python-based tool for multivariate pattern dependence (MVPD) analysis on fMRI data.☆7Updated 2 years ago
- Starting code for Algonauts 2021 challenge☆44Updated 3 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆19Updated 3 weeks ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆31Updated last week
- methods & simulation code to measure sequential replay☆42Updated 3 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆34Updated 6 years ago
- ☆48Updated last year
- Python library for Representational Similarity Analysis☆36Updated 5 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆35Updated last year
- ☆13Updated 3 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆69Updated 5 years ago