Literature DB >> 34937702

Category-Biased Neural Representations Form Spontaneously during Learning That Emphasizes Memory for Specific Instances.

Stefania R Ashby1, Dagmar Zeithamova2.   

Abstract

Category learning, learning to sort a set of stimuli into categories or groups, can induce category biases in perception such that items in the same category are perceived as more similar than items from different categories. To what degree category bias develops when learning goals emphasize individuation of each stimulus and whether the bias emerges spontaneously during learning itself rather than in response to task demands is unclear. Here, we used functional MRI (fMRI) during encoding to test for category biases in neural representations of individual stimuli during learning. Human participants (males and females) encountered face-blend stimuli with unique first names and shared family names that indicated category membership. Participants were instructed to learn the full name for each face. Neural pattern classification and pattern similarity analyses were used to track category information in the brain. Results showed that stimulus category could be decoded during encoding across many frontal, parietal, and occipital regions. Furthermore, two stimuli from the same category were represented more similarly in the prefrontal cortex than two stimuli from different categories equated for physical similarity. These findings illustrate that a mere presence of category label can bias neural representations spontaneously during encoding to emphasize category-relevant information, even in the absence of explicit categorization demands and when category-irrelevant information remains relevant for task goals.SIGNIFICANCE STATEMENT Entities belonging to the same category are perceived as being more similar than entities belonging to different categories. Here, we show that neural representations highlighting category-relevant information form spontaneously during encoding. Notably, the presence of a category label led to neural category bias although participants focused on remembering individual stimuli and category-irrelevant stimulus features remained important for explicit task goals. These results may inform our understanding of bias in general and suggest that bias may emerge when category information is present even when one's explicit focus is on individuals.
Copyright © 2022 the authors.

Entities:  

Keywords:  categorization; category bias; multivoxel pattern analysis; pattern similarity analysis; perceived similarity

Mesh:

Year:  2021        PMID: 34937702      PMCID: PMC8808730          DOI: 10.1523/JNEUROSCI.1396-21.2021

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.709


  44 in total

1.  Recovering meaning: left prefrontal cortex guides controlled semantic retrieval.

Authors:  A D Wagner; E J Paré-Blagoev; J Clark; R A Poldrack
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2.  The discrimination of speech sounds within and across phoneme boundaries.

Authors:  A M LIBERMAN; K S HARRIS; H S HOFFMAN; B C GRIFFITH
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3.  Dissociable prototype learning systems: evidence from brain imaging and behavior.

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4.  Attention, similarity, and the identification-categorization relationship.

Authors:  R M Nosofsky
Journal:  J Exp Psychol Gen       Date:  1986-03

5.  Abstract Memory Representations in the Ventromedial Prefrontal Cortex and Hippocampus Support Concept Generalization.

Authors:  Caitlin R Bowman; Dagmar Zeithamova
Journal:  J Neurosci       Date:  2018-02-07       Impact factor: 6.167

6.  Striatal activation during acquisition of a cognitive skill.

Authors:  R A Poldrack; V Prabhakaran; C A Seger; J D Gabrieli
Journal:  Neuropsychology       Date:  1999-10       Impact factor: 3.295

Review 7.  The role of left prefrontal cortex in language and memory.

Authors:  J D Gabrieli; R A Poldrack; J E Desmond
Journal:  Proc Natl Acad Sci U S A       Date:  1998-02-03       Impact factor: 11.205

8.  Age-related differences in brain activity during true and false memory retrieval.

Authors:  Nancy A Dennis; Hongkeun Kim; Roberto Cabeza
Journal:  J Cogn Neurosci       Date:  2008-08       Impact factor: 3.225

9.  Perceived similarity ratings predict generalization success after traditional category learning and a new paired-associate learning task.

Authors:  Stefania R Ashby; Caitlin R Bowman; Dagmar Zeithamova
Journal:  Psychon Bull Rev       Date:  2020-08
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