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Related Experiment Video
Updated: Apr 30, 2026

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
Published on: January 26, 2024
Learning and control of exploration primitives.
Goren Gordon1, Ehud Fonio, Ehud Ahissar
1Adaptive Perceptual Processing Lab, Weizmann Institute of Science, Department of Neuro biology, Rehovot, Israel, goren@gorengordon.com.
This study introduces a novel computational framework for animal exploration behavior, maintaining constant novelty through learned motor primitives and reinforcement learning. The model successfully explains rodent whisking behaviors in new environments.
Area of Science:
- Computational neuroscience
- Animal behavior modeling
- Robotics
Background:
- Animals exhibit cautious exploration, balancing curiosity with retreat.
- Existing models lack a unified framework for novelty-driven exploration.
Purpose of the Study:
- To present a formal framework for exploration behavior that maintains constant novelty.
- To demonstrate the emergence of exploration motor primitives through reinforcement learning.
- To enable transference of learned behaviors to novel environments.
Main Methods:
- Developed a reinforcement learning framework with information gain as intrinsic reward.
- Implemented local, ego-centric actors and critics for environmental transference.
- Modeled the rodent's whisking system to validate the framework.
Main Results:
- The framework generates exploration behavior maintaining a constant level of novelty.
- Learned exploration motor primitives facilitate adaptation to new environments.
- The model accurately reproduces characteristic rodent whisking behaviors.
Conclusions:
- The proposed framework offers a unified approach to understanding and modeling exploration.
- Adaptive parameters and emergent primitives enhance the model's applicability.
- This work provides insights into the computational principles underlying animal exploration.

