Learning effects arise from task-indexed adaptive coding

S. Thomas Christie, Dominic Mussack, Paul R. Schrater

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The brain is tasked with transmitting information quickly and reliably while limiting energy use. It must encode information without perfect knowledge of stimulus statistics, making efficient encoding impossible. We consider the possibility that the brain learns task-specific codes on-line, and that the efficiency of these codes can increase with exposure to task statistics. Use of task-indexed codes would parsimoniously explain, from information theoretic first principles, ubiquitous response time and accuracy improvements during task learning, including the Power Law of Learning. We also consider the implications of task-specific codes on automaticity and cognitive costs.

Original languageEnglish (US)
Title of host publicationProceedings of ICCM 2018 - 16th International Conference on Cognitive Modeling
EditorsIon Juvina, Joseph Houpt, Christopher Myers
PublisherUniversity of Wisconsin
Pages11-16
Number of pages6
ISBN (Electronic)9780998508221
StatePublished - 2018
Externally publishedYes
Event16th International Conference on Cognitive Modeling, ICCM 2018 - Wisconsin, United States
Duration: Jul 21 2018Jul 24 2018

Publication series

NameProceedings of ICCM 2018 - 16th International Conference on Cognitive Modeling

Conference

Conference16th International Conference on Cognitive Modeling, ICCM 2018
CountryUnited States
CityWisconsin
Period7/21/187/24/18

Bibliographical note

Publisher Copyright:
© 2020 The Authors. Published by Elsevier Ltd.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • Decision making
  • Information theory
  • Learning
  • Practice

Fingerprint Dive into the research topics of 'Learning effects arise from task-indexed adaptive coding'. Together they form a unique fingerprint.

Cite this