Cortical recruitment determines learning dynamics and strategy View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-04-01

AUTHORS

Sebastian Ceballo, Jacques Bourg, Alexandre Kempf, Zuzanna Piwkowska, Aurélie Daret, Pierre Pinson, Thomas Deneux, Simon Rumpel, Brice Bathellier

ABSTRACT

Salience is a broad and widely used concept in neuroscience whose neuronal correlates, however, remain elusive. In behavioral conditioning, salience is used to explain various effects, such as stimulus overshadowing, and refers to how fast and strongly a stimulus can be associated with a conditioned event. Here, we identify sounds of equal intensity and perceptual detectability, which due to their spectro-temporal content recruit different levels of population activity in mouse auditory cortex. When using these sounds as cues in a Go/NoGo discrimination task, the degree of cortical recruitment matches the salience parameter of a reinforcement learning model used to analyze learning speed. We test an essential prediction of this model by training mice to discriminate light-sculpted optogenetic activity patterns in auditory cortex, and verify that cortical recruitment causally determines association or overshadowing of the stimulus components. This demonstrates that cortical recruitment underlies major aspects of stimulus salience during reinforcement learning. More... »

PAGES

1479

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41467-019-09450-0

DOI

http://dx.doi.org/10.1038/s41467-019-09450-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113157899

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30931939


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60 effect
61 equal intensity
62 essential predictions
63 events
64 intensity
65 learning
66 learning model
67 levels
68 light-sculpted optogenetic activity patterns
69 major aspects
70 mice
71 model
72 mouse auditory cortex
73 neuronal correlates
74 neuroscience
75 optogenetic activity patterns
76 overshadowing
77 parameters
78 patterns
79 perceptual detectability
80 population activity
81 prediction
82 recruit different levels
83 recruitment
84 reinforcement learning
85 reinforcement learning model
86 salience
87 salience parameter
88 sound
89 spectro-temporal content recruit different levels
90 speed
91 stimuli
92 stimulus components
93 stimulus overshadowing
94 stimulus salience
95 strategies
96 task
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