Single-Trial Inference on Visual Attention

Mads Dyrholm; Søren Kyllingsbæk; Signe Allerup Vangkilde; Thomas Habekost; Claus Bundesen

doi:10.1063/1.3596625

Single-Trial Inference on Visual Attention

Mads Dyrholm, Søren Kyllingsbæk, Signe Allerup Vangkilde, Thomas Habekost, Claus Bundesen

2 Citations (Scopus)

Abstract

In this paper we take a step towards single-trial behavioral modeling within a Theory of Visual Attention (TVA). In selective attention tasks, such as the Partial Report paradigm, the subject is asked to ignore distractors and only report stimuli that belong to the target class. Nothing about a distractor is observed directly in the subject’s overt behavior, hence behavioral modeling of such trials involves out-marginalizing the variables that represent the distractors’ influence on behavior. In this paper we derive equations for inferring a latent representation of the distractors on a Partial Report trial. This result retrodicts a latent attentional state of the subject using the observed response from that particular trial and thus differs from other predictions made with TVA which are based on expected values of observed variables. We show an example of the result in single-trial analysis of an occipital EEG component.

Original language	English
Publication date	2011
Number of pages	7
DOIs	https://doi.org/10.1063/1.3596625
Publication status	Published - 2011
Event	INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL MODELS FOR LIFE SCIENCES - Toyama, Japan Duration: 11 Oct 2011 → 13 Oct 2011

Conference

Conference	INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL MODELS FOR LIFE SCIENCES
Country/Territory	Japan
City	Toyama
Period	11/10/2011 → 13/10/2011

Access to Document

10.1063/1.3596625

Cite this

@conference{bacdc5e9eb1347d190fa714243415a7d,

title = "Single-Trial Inference on Visual Attention",

abstract = "In this paper we take a step towards single-trial behavioral modeling within a Theory of Visual Attention (TVA). In selective attention tasks, such as the Partial Report paradigm, the subject is asked to ignore distractors and only report stimuli that belong to the target class. Nothing about a distractor is observed directly in the subject{\textquoteright}s overt behavior, hence behavioral modeling of such trials involves out-marginalizing the variables that represent the distractors{\textquoteright} influence on behavior. In this paper we derive equations for inferring a latent representation of the distractors on a Partial Report trial. This result retrodicts a latent attentional state of the subject using the observed response from that particular trial and thus differs from other predictions made with TVA which are based on expected values of observed variables. We show an example of the result in single-trial analysis of an occipital EEG component.",

author = "Mads Dyrholm and S{\o}ren Kyllingsb{\ae}k and Vangkilde, {Signe Allerup} and Thomas Habekost and Claus Bundesen",

year = "2011",

doi = "10.1063/1.3596625",

language = "English",

note = "INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL MODELS FOR LIFE SCIENCES , CMLS-11 ; Conference date: 11-10-2011 Through 13-10-2011",

}

TY - CONF

T1 - Single-Trial Inference on Visual Attention

AU - Dyrholm, Mads

AU - Kyllingsbæk, Søren

AU - Vangkilde, Signe Allerup

AU - Habekost, Thomas

AU - Bundesen, Claus

PY - 2011

Y1 - 2011

N2 - In this paper we take a step towards single-trial behavioral modeling within a Theory of Visual Attention (TVA). In selective attention tasks, such as the Partial Report paradigm, the subject is asked to ignore distractors and only report stimuli that belong to the target class. Nothing about a distractor is observed directly in the subject’s overt behavior, hence behavioral modeling of such trials involves out-marginalizing the variables that represent the distractors’ influence on behavior. In this paper we derive equations for inferring a latent representation of the distractors on a Partial Report trial. This result retrodicts a latent attentional state of the subject using the observed response from that particular trial and thus differs from other predictions made with TVA which are based on expected values of observed variables. We show an example of the result in single-trial analysis of an occipital EEG component.

AB - In this paper we take a step towards single-trial behavioral modeling within a Theory of Visual Attention (TVA). In selective attention tasks, such as the Partial Report paradigm, the subject is asked to ignore distractors and only report stimuli that belong to the target class. Nothing about a distractor is observed directly in the subject’s overt behavior, hence behavioral modeling of such trials involves out-marginalizing the variables that represent the distractors’ influence on behavior. In this paper we derive equations for inferring a latent representation of the distractors on a Partial Report trial. This result retrodicts a latent attentional state of the subject using the observed response from that particular trial and thus differs from other predictions made with TVA which are based on expected values of observed variables. We show an example of the result in single-trial analysis of an occipital EEG component.

U2 - 10.1063/1.3596625

DO - 10.1063/1.3596625

M3 - Paper

T2 - INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL MODELS FOR LIFE SCIENCES

Y2 - 11 October 2011 through 13 October 2011

ER -

Single-Trial Inference on Visual Attention

Abstract

Conference

Access to Document

Fingerprint

Cite this