pillowlab/DRD

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Created almost 7 years ago
Updated over 6 years ago

pillowlab/DRD

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DRD model described in Wu et.al, 2014

GLMspiketraintutorial

Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data

neuroGLM

Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).

GLMspiketraintutorial_python

Jupyter Notebook

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 likelihood

PYMentropy

Discrete entropy estimator using the Pitman-Yor mixture (PYM) prior

BinaryPursuitSpikeSorting

Detect synchronous and overlapped spikes in extracellular recordings using Binary Pursuit (Pillow et al 2013)

psytrack_learning

Extension of Psytrack to include learning

Jupyter Notebook

fastASD

Fast inference for high-D receptive fields using Automatic Smoothness Determination (ASD)

CDMentropy

Centered Dirichlet Mixture entropy estimator for binary data

adaptivePsychophysicsToolbox

For effective analysis and optimal experiment design for psychophysics experiments

StepRampMCMC

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 fields

adaptiveOptimalTraining

adaptive optimal training of animal behavior

mTDRdemo

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 fields

multilinearRegression

GaussHermiteQuadrature

Gauss-Hermite Quadrature (for approximating integrals w.r.t. a Gaussian density)

CBEM

conductance-based encoding model

invBlockTriDiag

Efficiently compute central and off-diagonal blocks of the inverse of a block-tridiagonal matrix

raisedCosineBasis

makes raised cosine basis with log scaling of x axis

neu314data

Datasets for "Mathematical Tools for Neuroscience" (NEU 314)