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Is Model Fitting Necessary for Model-Based fMRI?
Robert C. Wilson,
Yael Niv
Psychology
Princeton Neuroscience Institute
Research output
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Contribution to journal
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Article
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peer-review
54
Scopus citations
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Mathematics
Functional Magnetic Resonance Imaging
100%
Model Fitting
87%
Model-based
65%
Reinforcement Learning
54%
Learning Rate
50%
Necessary
49%
Brain
26%
Model
23%
Variable Structure
16%
Theoretical Model
15%
Template
14%
Prediction Error
14%
Gross
13%
Closed-form
10%
Testing
8%
Relationships
7%
Approximation
6%
Medicine & Life Sciences
Learning
53%
Magnetic Resonance Imaging
48%
Psychology Reinforcement
39%
Negotiating
14%
Brain
11%
Theoretical Models
9%
Datasets
9%
Data Analysis
9%
Engineering & Materials Science
Magnetic Resonance Imaging
82%
Reinforcement learning
19%
Brain
10%
Testing
3%
Earth & Environmental Sciences
learning
32%
reinforcement
19%
brain
12%
parameter
11%
rate
6%
analysis
3%
prediction
3%
effect
3%
test
2%
method
1%
Agriculture & Biology
learning
39%
brain
10%
theoretical models
8%
data analysis
6%
testing
5%
prediction
4%
methodology
1%