derdikman / Dordek-et-al.-Matlab-codeLinks
This repository contains the Matlab code for "Extracting grid characteristics from spatially distributed place cell inputs using non-negative PCA" by Yedidyah Dordek, Daniel Soudry, Ron Meir and Dori Derdikman
☆21Updated 9 years ago
Alternatives and similar repositories for Dordek-et-al.-Matlab-code
Users that are interested in Dordek-et-al.-Matlab-code are comparing it to the libraries listed below
Sorting:
- repository for grid cell network code☆73Updated 3 years ago
- Code for Galgali et al, 2023☆14Updated 3 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆104Updated last year
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆37Updated 7 years ago
- Code for Task representations in neural networks trained to perform many cognitive tasks☆169Updated 7 years ago
- Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.☆21Updated 7 years ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆18Updated 10 months ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆51Updated 4 years ago
- Flexible modulation of sequence generation in the entorhinal-hippocampal system.☆13Updated 3 years ago
- Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife☆45Updated 3 years ago
- Short-term plasticity RNN models in Tensorflow☆36Updated 6 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 4 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆73Updated 5 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆70Updated 2 years ago
- ☆84Updated 3 years ago
- Python tools for participating in Neural Latents Benchmark '21☆66Updated 2 weeks ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆55Updated 9 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆22Updated 2 years ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 4 years ago
- Recurrent state-space models for decision making☆30Updated 3 years ago
- Tutorial codes for modeling brains with neural nets☆237Updated 4 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆55Updated 5 years ago
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆37Updated 6 years ago
- Implementation of fixed point analysis for Recurrent Neural Network.☆23Updated 6 years ago
- Models and examples built with TensorFlow☆15Updated 5 years ago
- Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…☆32Updated 7 years ago
- ☆204Updated 3 years ago
- Some methods for comparing network representations in deep learning and neuroscience.☆142Updated last year
- Recordings of 10k neurons during spontaneous behaviors☆54Updated last year
- Recurrent Switching Linear Dynamical Systems☆116Updated 2 years ago