#3
Value coding & prediction in the brain
Information
Sep.14th MON 7 - 9 PM
@KAIST, N1, Room #111
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Moderator
: Jineun Kim
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Presenter
: Jineun Kim, Jungjoon Park, MinRyung Song
Contact : kje2436@gmail.com
Agenda
: How do the Brain & AI represent the value?
1. Values in the agent-environment interaction of BNN & ANN
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Innate valence encoding in the BNN
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Reinforcement Learning (RL) - The unified framework for acquired value representation : Psychological / Neural / Computational perspectives
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Neural Correlates of value and prediction error in RL models
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Can the standard RL fully account for the biological brain?
2. Pannel Discussion
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Standard RL vs Homeostatic RL
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Further on Model-Free vs Model-Based?
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Maladaptive functions of RL framework in patients?
Abstract
Seminar video
00:00 Introduction & Innate Valence encoding in the Brain / Biological Neural Net (BNN)
24:59 Reinforcement Learning (RL) Framework: Psychology / Machine Learning (ML)
1:02:45 Q&A
1:20:05 Neural correlates of value and prediction error (PE) in RL models
1:43:03 Can the standard RL fully account for the biological brain?
Seminar Slide
Key Materials
1) "Reinforcement learning in artificial and biological systems" Neftci & Averbeck. Review_ Nature Machine Intelligence. (2019)
2) "Where Does Value Come From?" Juechems & Summerfield. Review_Cell (2019)
3) You can find more key materials here.
Suggested Pre-Readings/video
1) Ch.1_"Reinforcement Learning" by Sutton.
2) David Silver's lecture on the Ch1. RL : here
Freeboard
: Feel free to ask / comment