Linked Life Data

16971090

Source:http://linkedlifedata.com/resource/pubmed/id/16971090

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8
pubmed:dateCreated
2006-10-3
pubmed:abstractText
We present a new decision-making model that can account for trial-by-trial variability induced by a process ("pre-process") that occurs before an explicit sensory signal specifying a later motor response. A process after explicit sensory signals, referred to herein as the "post-process", has been investigated by a variety of so-called rise-to-threshold models including the LATER model. The LATER model formulates post-process variability but treats the pre-process as fixed within a block of an experiment. We propose an extension of the LATER model, which we call the extended LATER (ELATER) model, to account for trial-by-trial variability of both pre- and post-processes together. We present the mathematical formulation of the ELATER model and analyze its characteristics, including numerical examples and an example of saccade latency data in reward-manipulated conditions with caudate activity. The ELATER model is useful for investigating decision making by taking account of trial-by-trial variability of both pre- and post-processes.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0893-6080
pubmed:author
pubmed:issnType
Print
pubmed:volume
19
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1027-46
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Extended LATER model can account for trial-by-trial variability of both pre- and post-processes.
pubmed:affiliation
Laboratory for Integrated Theoretical Neuroscience, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama, Japan. hn@brain.riken.jp
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't