Learning in Visual Regions as Support for the Bias in Future Value-Driven Choice.
Cereb Cortex
; 30(4): 2005-2018, 2020 04 14.
Article
in En
| MEDLINE
| ID: mdl-31711119
ABSTRACT
Reinforcement learning can bias decision-making toward the option with the highest expected outcome. Cognitive learning theories associate this bias with the constant tracking of stimulus values and the evaluation of choice outcomes in the striatum and prefrontal cortex. Decisions however first require processing of sensory input, and to date, we know far less about the interplay between learning and perception. This functional magnetic resonance imaging study (N = 43) relates visual blood oxygen level-dependent (BOLD) responses to value beliefs during choice and signed prediction errors after outcomes. To understand these relationships, which co-occurred in the striatum, we sought relevance by evaluating the prediction of future value-based decisions in a separate transfer phase where learning was already established. We decoded choice outcomes with a 70% accuracy with a supervised machine learning algorithm that was given trial-by-trial BOLD from visual regions alongside more traditional motor, prefrontal, and striatal regions. Importantly, this decoding of future value-driven choice outcomes again highlighted an important role for visual activity. These results raise the intriguing possibility that the tracking of value in visual cortex is supportive for the striatal bias toward the more valued option in future choice.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Photic Stimulation
/
Visual Cortex
/
Magnetic Resonance Imaging
/
Choice Behavior
/
Learning
Type of study:
Prognostic_studies
Limits:
Adult
/
Female
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Humans
/
Male
Language:
En
Journal:
Cereb Cortex
Journal subject:
CEREBRO
Year:
2020
Document type:
Article
Affiliation country:
Netherlands