Literature DB >> 22184233

Activation in the neural network responsible for categorization and recognition reflects parameter changes.

Robert M Nosofsky1, Daniel R Little, Thomas W James.   

Abstract

According to various influential formal models of cognition, perceptual categorization and old-new recognition recruit the same memory system. By contrast, the prevailing view in the cognitive neuroscience literature is that separate neural systems mediate perceptual categorization and recognition. A direct form of evidence is that separate brain regions are activated when observers engage in categorization and recognition tasks involving the same types of stimuli. However, even if the same memory-based comparison processes underlie categorization and recognition, one would not expect to see identical patterns of brain activity across the tasks; the reason is that observers would adjust parameter settings (e.g., vary criterion settings) across the tasks to satisfy the different task goals. In this fMRI study, we conducted categorization and recognition tasks in which stimulus conditions were held constant, and in which observers were induced to vary hypothesized parameter settings across conditions. A formal exemplar model was fitted to the data to track the changes in parameters to help interpret the fMRI results. We observed systematic effects of changes in parameters on patterns of brain activity, which were interpretable in terms of differing forms of evidence accumulation that resulted from the changed parameter settings. After controlling for stimulus and parameter-related differences, we found little evidence that categorization and recognition recruit separate memory systems.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22184233      PMCID: PMC3252895          DOI: 10.1073/pnas.1111304109

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  31 in total

1.  A single-system interpretation of dissociations between recognition and categorization in a task involving object-like stimuli.

Authors:  S R Zaki; R M Nosofsky
Journal:  Cogn Affect Behav Neurosci       Date:  2001-12       Impact factor: 3.282

2.  Comparing the brain areas supporting nondeclarative categorization and recognition memory.

Authors:  Paul J Reber; Eric C Wong; Richard B Buxton
Journal:  Brain Res Cogn Brain Res       Date:  2002-08

3.  Evidence accumulation and the moment of recognition: dissociating perceptual recognition processes using fMRI.

Authors:  Elisabeth J Ploran; Steven M Nelson; Katerina Velanova; David I Donaldson; Steven E Petersen; Mark E Wheeler
Journal:  J Neurosci       Date:  2007-10-31       Impact factor: 6.167

4.  Perceived distance and the classification of distorted patterns.

Authors:  M I Posner; R Goldsmith; K E Welton
Journal:  J Exp Psychol       Date:  1967-01

5.  Short-term memory scanning viewed as exemplar-based categorization.

Authors:  Robert M Nosofsky; Daniel R Little; Christopher Donkin; Mario Fific
Journal:  Psychol Rev       Date:  2011-04       Impact factor: 8.934

6.  Cortical areas supporting category learning identified using functional MRI.

Authors:  P J Reber; C E Stark; L R Squire
Journal:  Proc Natl Acad Sci U S A       Date:  1998-01-20       Impact factor: 11.205

7.  An exemplar-based random walk model of speeded classification.

Authors:  R M Nosofsky; T J Palmeri
Journal:  Psychol Rev       Date:  1997-04       Impact factor: 8.934

8.  Re-evaluating dissociations between implicit and explicit category learning: an event-related fMRI study.

Authors:  Todd M Gureckis; Thomas W James; Robert M Nosofsky
Journal:  J Cogn Neurosci       Date:  2010-08-04       Impact factor: 3.225

9.  Learning about categories in the absence of memory.

Authors:  L R Squire; B J Knowlton
Journal:  Proc Natl Acad Sci U S A       Date:  1995-12-19       Impact factor: 11.205

10.  The learning of categories: parallel brain systems for item memory and category knowledge.

Authors:  B J Knowlton; L R Squire
Journal:  Science       Date:  1993-12-10       Impact factor: 47.728

View more
  26 in total

1.  Category learning increases discriminability of relevant object dimensions in visual cortex.

Authors:  Jonathan R Folstein; Thomas J Palmeri; Isabel Gauthier
Journal:  Cereb Cortex       Date:  2012-04-05       Impact factor: 5.357

2.  Generalization through the recurrent interaction of episodic memories: a model of the hippocampal system.

Authors:  Dharshan Kumaran; James L McClelland
Journal:  Psychol Rev       Date:  2012-07       Impact factor: 8.934

Review 3.  A biased competition account of attention and memory in Alzheimer's disease.

Authors:  Kathrin Finke; Nicholas Myers; Peter Bublak; Christian Sorg
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-09-09       Impact factor: 6.237

4.  The strength of gradually accruing probabilistic evidence modulates brain activity during a categorical decision.

Authors:  Mark E Wheeler; Sarah G Woo; Tobin Ansel; Joshua J Tremel; Amanda L Collier; Katerina Velanova; Elisabeth J Ploran; Tianming Yang
Journal:  J Cogn Neurosci       Date:  2014-10-14       Impact factor: 3.225

5.  Identifying the neural dynamics of category decisions with computational model-based functional magnetic resonance imaging.

Authors:  Emily M Heffernan; Juliana D Adema; Michael L Mack
Journal:  Psychon Bull Rev       Date:  2021-05-07

6.  The effect of encoding conditions on learning in the prototype distortion task.

Authors:  Jessica C Lee; Evan J Livesey
Journal:  Learn Behav       Date:  2017-06       Impact factor: 1.986

7.  How similar are recognition memory and inductive reasoning?

Authors:  Brett K Hayes; Evan Heit
Journal:  Mem Cognit       Date:  2013-07

8.  Age-related declines in the fidelity of newly acquired category representations.

Authors:  Tyler Davis; Bradley C Love; W Todd Maddox
Journal:  Learn Mem       Date:  2012-07-18       Impact factor: 2.460

9.  Decoding the brain's algorithm for categorization from its neural implementation.

Authors:  Michael L Mack; Alison R Preston; Bradley C Love
Journal:  Curr Biol       Date:  2013-10-03       Impact factor: 10.834

10.  A Comparison of the neural correlates that underlie rule-based and information-integration category learning.

Authors:  Kathryn L Carpenter; Andy J Wills; Abdelmalek Benattayallah; Fraser Milton
Journal:  Hum Brain Mapp       Date:  2016-05-20       Impact factor: 5.038

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.