The Neurodynamics of Categorization

Ross, Matt; Chartier, Sylvain; Hélie, Sébastien

doi:10.1016/b978-0-08-101107-2.00042-7

Handbook of Categorization in Cognitive Science 2017

DOI: 10.1016/b978-0-08-101107-2.00042-7

|View full text |Cite

The Neurodynamics of Categorization

Matt Ross

Sylvain Chartier

Sébastien Hélie

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

Publication Types

Select...

Article1

Relationship

Self Cite1

Independent0

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…2While including a negative term in Hebbian learning is rare in computational neuroscience applications, it has a long history in the traditional connectionist modeling literature (e.g., contrastive Hebbian learning and anti-Hebbian learning). A selected review of this history and its computational role can be found in Ross et al (2017).…”

mentioning

confidence: 99%

A neurocomputational theory of how rule-guided behaviors become automatic.

Kovacs¹,

Hélie

Tran³

et al. 2021

Psychological Review

Self Cite

View full text Add to dashboard Cite

This article introduces a biologically detailed computational model of how rule-guided behaviors become automatic. The model assumes that initially, rule-guided behaviors are controlled by a distributed neural network centered in the prefrontal cortex, and that in addition to initiating behavior, this network also trains a faster and more direct network that includes projections from sensory association cortex directly to rulesensitive neurons in the premotor cortex. After much practice, the direct network is sufficient to control the behavior, without prefrontal involvement. The model is implemented as a biologically detailed neural network constructed from spiking neurons and displaying a biologically plausible form of Hebbian learning. The model successfully accounts for single-unit recordings and human behavioral data that are problematic for other models of automaticity.

show abstract

mentioning

confidence: 99%

A neurocomputational theory of how rule-guided behaviors become automatic.

Kovacs¹,

Hélie

Tran³

et al. 2021

Psychological Review

Self Cite

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

The Neurodynamics of Categorization

Cited by 1 publication

References 33 publications

A neurocomputational theory of how rule-guided behaviors become automatic.

A neurocomputational theory of how rule-guided behaviors become automatic.

Contact Info

Product

Resources

About