mattgolub / internal_model_estimationLinks
Codepack accompanying "Internal models for interpreting neural population activity during sensorimotor control," by Matthew D. Golub, Byron M. Yu, and Steven M. Chase, eLife 2015.
☆14Updated 6 years ago
Alternatives and similar repositories for internal_model_estimation
Users that are interested in internal_model_estimation are comparing it to the libraries listed below
Sorting:
- Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.☆21Updated 7 years ago
- methods & simulation code to measure sequential replay☆42Updated 3 years ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆46Updated 5 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆53Updated 4 years ago
- A course given at the 2017 Canadian Neuroscience meeting, Neural Signal Analysis Satellite.☆14Updated 7 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆70Updated 5 years ago
- ☆55Updated 2 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆40Updated 5 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆49Updated 3 years ago
- ☆22Updated last month
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆28Updated 4 months ago
- Home of the neural decode algorithm MINT.☆17Updated 5 months ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆31Updated last month
- Matlab codepack for performing dimensionality reduction on neural data using TD-GPFA or GPFA.☆20Updated 7 years ago
- ☆17Updated 6 years ago
- Machine Learning Methods for Neural Data Analysis☆16Updated last month
- Code for neural and behavioral data analysis from the Brain Computation and Behavior Lab, aka AyA Lab, at Cornell University.☆17Updated this week
- non-parametric inference for convolutional filters in poisson glms☆13Updated 3 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆53Updated 3 months ago
- Code for Inception Loop 2019 Paper☆14Updated 5 years ago
- DataHigh: A graphical user interface for visualizing and interacting with high-dimensional neural activity☆17Updated 6 years ago
- A package to train neural networks to perform various motor tasks☆67Updated last month
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆21Updated 2 months ago
- Code implements the LN model used to describe spike trains of MEC neurons based on the animal's position, head direction, speed, and thet…☆23Updated 3 years ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆17Updated 3 months ago
- Preferential Subspace Identification Algorithm☆52Updated 3 weeks ago
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 years ago
- Schemata and libraries for neuroscientific data☆26Updated 8 months ago
- code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)☆30Updated 10 months ago