DESCRIPTION

Package: NeuralComp
Type: Package
Title: Mechanistic Single-Neuron Model for Multiplexing
Version: 1.0
Date: 2024-11-14
Author: Nicholas Marco
Maintainer: Nicholas Marco <nicholas.marco@duke.edu>
Description: Code to gather evidence of Multiplexing (See Groh et al. 'Signal switching may enhance processing power of the brain.' Trends in Cognitive Sciences (2024)), a neural encoding theory that posits that individual neurons can switch between encoding multiple stimuli. The package assumes that data is recorded in 'triplets' of conditions (spike trains from an A stimulus, B stimulus, and A + B stimulus). With these triplets, users can fit our mechanistic statistical model for Multiplexing that posits that the switching occurs due to competition (See Marco, Groh, Tokdar 'Modeling Neural Switching via Drift-Diffusion Models' arXiv preprint 2410.00781 (2024)). Additionally, users are able to fit alternative models, allowing users to gather evidence of multiplexing.
License: GPL (>= 3) + file LICENSE
Imports: Rcpp (>= 1.0.11)
LinkingTo: Rcpp,
           RcppArmadillo, 
           RcppDist,
           RcppEigen,
           splines2 (>= 0.3.0)
RoxygenNote: 7.2.3
Encoding: UTF-8