Validation of the neural decoding pipeline.

<p>To validate our decoding approach, we trained neural decoders to distinguish the city observed during feedback on training trials. We then tested how well we could recover the chosen city on held out training trials. One functional run was held out at a time to assess decoding performance....

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Bibliographic Details
Main Author:	Sam Hall-McMaster (10343795) (author)
Other Authors:	Momchil S. Tomov (8677314) (author), Samuel J. Gershman (8677326) (author), Nicolas W. Schuck (6260720) (author)
Published:	2025
Subjects:	Neuroscience Science Policy Mental Health Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified human participants (< computational process based based control using successor representation known possible neural implementation increased behavioral reuse humans reuse strategies learned optimal solutions generalized policy improvement div >< p novel test tasks test tasks successor features neural evidence training tasks earlier tasks selective manner prefrontal cortex past experience new task n </ intelligent systems important feature gpi solutions gpi algorithm gpi ). functional connection free perseveration findings point evaluate solutions adaptive algorithm
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Validation of the neural decoding pipeline.

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