There are no reviews yet. Be the first to send feedback to the community and the maintainers!
GLMspiketraintutorial
Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train dataneuroGLM
Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).GLMspiketraintutorial_python
GLMspiketools
Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).LNPfitting
Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihoodPYMentropy
Discrete entropy estimator using the Pitman-Yor mixture (PYM) priorBinaryPursuitSpikeSorting
Detect synchronous and overlapped spikes in extracellular recordings using Binary Pursuit (Pillow et al 2013)psytrack_learning
Extension of Psytrack to include learningfastASD
Fast inference for high-D receptive fields using Automatic Smoothness Determination (ASD)CDMentropy
Centered Dirichlet Mixture entropy estimator for binary dataadaptivePsychophysicsToolbox
For effective analysis and optimal experiment design for psychophysics experimentsStepRampMCMC
gaudy-images
Code for "High-contrast 'gaudy' images improve the training of deep neural network models of visual cortex" by Cowley and Pillow, NeurIPS 2020.PoissonBalancedNets
Implementation of Balanced Spiking Networks with Poisson Neurons, from Rullan & Pillow 2019.iSTAC
information-theoretic Spike-Triggered Average and Covariance (iSTAC) estimator for receptive fieldsadaptiveOptimalTraining
adaptive optimal training of animal behaviormTDRdemo
Self-contained code to demonstrate how to use mTDR.GQM
Fitting routines for moment-based estimation of a Generalized Quadratic Model (GQM)VLR-STRF
variational low rank estimation for spatiotemporal receptive fieldsmultilinearRegression
GaussHermiteQuadrature
Gauss-Hermite Quadrature (for approximating integrals w.r.t. a Gaussian density)CBEM
conductance-based encoding modelDRD
DRD model described in Wu et.al, 2014invBlockTriDiag
Efficiently compute central and off-diagonal blocks of the inverse of a block-tridiagonal matrixraisedCosineBasis
makes raised cosine basis with log scaling of x axisneu314data
Datasets for "Mathematical Tools for Neuroscience" (NEU 314)Love Open Source and this site? Check out how you can help us