brainbox.behavior

brainbox.behavior.dlc

Set of functions to deal with dlc data

brainbox.behavior.pyschofit

The psychofit toolbox contains tools to fit two-alternative psychometric data. The fitting is done using maximal likelihood estimation: one assumes that the responses of the subject are given by a binomial distribution whose mean is given by the psychometric function. The data can be expressed in fraction correct (from .5 to 1) or in fraction of one specific choice (from 0 to 1). To fit them you can use these functions: - weibull50: Weibull function from 0.5 to 1, with lapse rate - weibull: Weibull function from 0 to 1, with lapse rate - erf_psycho: erf function from 0 to 1, with lapse rate - erf_psycho_2gammas: erf function from 0 to 1, with two lapse rates Functions in the toolbox are: - mle_fit_psycho: Maximumum likelihood fit of psychometric function - neg_likelihood: Negative likelihood of a psychometric function For more info, see: - Examples: Examples of use of psychofit toolbox Matteo Carandini, 2000-2015.

brainbox.behavior.training

brainbox.behavior.wheel

Set of functions to handle wheel data