MouseLand / stringer-pachitariu-et-al-2018bLinks
Responses of 10,000 neurons to 2,800 natural images
☆70Updated 5 years ago
Alternatives and similar repositories for stringer-pachitariu-et-al-2018b
Users that are interested in stringer-pachitariu-et-al-2018b are comparing it to the libraries listed below
Sorting:
- Recordings of 10k neurons during spontaneous behaviors☆52Updated last year
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- CNN Neural System Identification Model☆31Updated 7 years ago
- ☆74Updated 3 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
- ☆50Updated 4 years ago
- deep-retina is a project to build a convolutional neural network that can predict retinal ganglion cell responses to natural stimuli with…☆56Updated 2 years ago
- latent manifold tuning model / P-GPLVM☆12Updated 6 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆50Updated 9 years ago
- Recurrent convolutional neural networks for object recognition☆18Updated 4 years ago
- repository for grid cell network code☆65Updated 2 years ago
- Code for Task representations in neural networks trained to perform many cognitive tasks☆169Updated 6 years ago
- Distribution Alignment Decoder (DAD)☆16Updated 7 years ago
- Github repository for Neuroscience and Deep Learning reading group at the Montreal Neurological Institute☆17Updated 6 years ago
- Biologically-realistic recurrent convolutional neural networks☆98Updated last year
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆35Updated 7 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆100Updated last year
- Dynamical Components Analysis☆32Updated 2 years ago
- Tools for spike data analysis and visualization☆108Updated 2 years ago
- Deep learning in a spiking neural network using segregated dendrites.☆84Updated 8 years ago
- ☆39Updated last year
- A class for using ML algorithms for spike prediction☆61Updated 7 years ago
- A general framework for interpreting wide-band neural activity☆160Updated 3 years ago
- A quickstart guide to tensor decomposition☆72Updated 3 years ago
- Dimensionality reduction of spikes trains☆50Updated 3 years ago
- interactive analysis of calcium imaging data from larval zebrafish☆135Updated 6 years ago
- An implementation of piecewise linear time warping for multi-dimensional time series alignment☆184Updated last year
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 5 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Updated 7 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 7 years ago