title: Abrupt changes in the patterns and complexity of anterior cingulate cortex activity when food is introduced into an environment.
abstract: Foraging typically involves two distinct phases, an exploration phase where an organism explores its local environment in search of needed resources and an exploitation phase where a discovered resource is consumed. The behavior and cognitive requirements of exploration and exploitation are quite different and yet organisms can quickly and efficiently switch between them many times during a foraging bout. The present study investigated neural activity state dynamics in the anterior cingulate sub-region of the rat medial prefrontal cortex (mPFC) when a reliable food source was introduced into an environment. Distinct and largely independent states were detected using a Hidden Markov Model (HMM) when food was present or absent in the environment. Measures of neural entropy or complexity decreased when rats went from exploring the environment to exploiting a reliable food source. Exploration in the absence of food was associated with many weak activity states, while bouts of food consumption were characterized by fewer stronger states. Widespread activity state changes in the mPFC may help to inform foraging decisions and focus behavior on what is currently most prominent or valuable in the environment.
authors.affiliation: Department of Psychiatry, Brain Research Centre, University of British Columbia Vancouver, BC, Canada.
authors.forename: Barak F
authors.initials: BF
authors.lastname: Caracheo
authors.forename: Eldon
authors.initials: E
authors.lastname: Emberly
authors.forename: Shirin
authors.initials: S
authors.lastname: Hadizadeh
authors.forename: James M
authors.initials: JM
authors.lastname: Hyman
authors.forename: Jeremy K
authors.initials: JK
authors.lastname: Seamans
keywords: HMM; Kolmogorov complexity; Markov; entropy; foraging; prefrontal cortex