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Updated: Oct 4, 2025

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Studying Food Reward and Motivation in Humans
Published on: March 19, 2014
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Extrinsic rewards, intrinsic rewards, and non-optimal behavior
Mousa Karayanni1, Israel Nelken2,3
1Edmond and Lily Safra Center for Brain Sciences, Hebrew University, Jerusalem, Israel. mousa.karayanni@mail.huji.ac.il.
Journal of Computational Neuroscience
|February 5, 2022
Summary
Non-optimal behaviors in animals may stem from intrinsic motivation, not just experimental noise. Understanding these actions offers insights into brain processes and decision-making beyond simple reward optimization.
Area of Science:
- Behavioral neuroscience
- Cognitive science
- Animal behavior
Background:
- Experimental behavior is typically assessed by extrinsic rewards, but non-optimal actions are common across species.
- Current research often dismisses non-optimal behaviors as noise, excluding subjects that don't meet performance criteria.
Discussion:
- Non-optimal behaviors may result from intrinsically motivated actions driven by factors other than extrinsic rewards.
- These intrinsic drives can be conceptualized as intrinsic rewards, leading to decisions optimizing a blend of intrinsic and extrinsic rewards.
- This perspective reframes apparently non-optimal actions as potentially optimal choices within a broader reward landscape.
Key Insights:
- Intrinsic motivation offers a new framework for understanding non-optimal animal behaviors.
- Behavioral optimality can be redefined to include the integration of intrinsic and extrinsic rewards.
- Non-optimal behaviors provide a valuable avenue for exploring underlying neural mechanisms.
Outlook:
- Further research is needed to empirically validate the role of intrinsic rewards in shaping behavior.
- Developing experimental paradigms to differentiate and measure intrinsic rewards is crucial.
- This approach could enhance our understanding of decision-making processes in both animals and humans.
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