Publication

Roving in perceptual learning: stimulus interference and overlapping neural populations

Michael Herzog, Elisa Tartaglia, Carl Kristoffer Aberg
2008
Conference Papers

Abstract

Performance usually improves when observers train with one type of a visual stimulus. Roving denotes the situation when, instead of one, two or more types of stimuli are presented randomly interleaved (one per trial). For some stimulus types, performance improves also in roving situations whereas for others it does not. To understand when roving impedes perceptual learning, we conducted four experiments. In each experiment, the very same bisection stimulus was randomly interleaved with a different stimulus type. Performance improved when a bisection and a vernier stimulus were randomly interleaved. However, no learning was found when we randomly interleaved this bisection stimulus with another one being twice as long. Based on these results, we propose that roving impedes performance when two stimuli excite strongly overlapping neural populations

Official source

https://infoscience.epfl.ch/entities/publication/7fa6f3df-0bd7-459e-b4e6-2bd1adffc285

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Michael Herzog, Elisa Tartaglia, Carl Kristoffer Aberg
2008
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/7fa6f3df-0bd7-459e-b4e6-2bd1adffc285

About this result

Related concepts (22)

Type system

In computer programming, a type system is a logical system comprising a set of rules that assigns a property called a type (for example, integer, floating point, string) to every "term" (a word, phrase, or other set of symbols). Usually the terms are various constructs of a computer program, such as variables, expressions, functions, or modules. A type system dictates the operations that can be performed on a term. For variables, the type system determines the allowed values of that term.

Type theory

In mathematics, logic, and computer science, a type theory is the formal presentation of a specific type system, and in general, type theory is the academic study of type systems. Some type theories serve as alternatives to set theory as a foundation of mathematics. Two influential type theories that were proposed as foundations are Alonzo Church's typed λ-calculus and Per Martin-Löf's intuitionistic type theory. Most computerized proof-writing systems use a type theory for their foundation, a common one is Thierry Coquand's Calculus of Inductive Constructions.

Data type

In computer science and computer programming, a data type (or simply type) is a collection or grouping of data values, usually specified by a set of possible values, a set of allowed operations on these values, and/or a representation of these values as machine types. A data type specification in a program constrains the possible values that an expression, such as a variable or a function call, might take. On literal data, it tells the compiler or interpreter how the programmer intends to use the data.

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