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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
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.activelearningTCs
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