Projects per year
Abstract
Organisms must cope with different risk/reward landscapes in their ecological niche. Hence, species have evolved behavior and cognitive processes to optimally balance approach and avoidance. Navigation through space, including taking detours, appears also to be an essential element of consciousness. Such processes allow organisms to negotiate predation risk and natural geometry that obstruct foraging. One aspect of this is the ability to inhibit a direct approach toward a reward. Using an adaptation of the well-known detour paradigm in comparative psychology, but in a virtual world, we simulate how different neural configurations of inhibitive processes can yield behavior that approximates characteristics of different species. Results from simulations may help elucidate how evolutionary adaptation can shape inhibitive processing in particular and behavioral selection in general. More specifically, results indicate that both the level of inhibition that an organism can exert and the size of neural populations dedicated to inhibition contribute to successful detour navigation. According to our results, both factors help to facilitate detour behavior, but the latter (i.e., larger neural populations) appears to specifically reduce behavioral variation.
Original language | English |
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Article number | 752219 |
Journal | Frontiers in Systems Neuroscience |
DOIs | |
Publication status | Published - 2021 Nov 9 |
Subject classification (UKÄ)
- Behavioral Sciences Biology
- Philosophy
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Dive into the research topics of 'Direct Approach or Detour: A Comparative Model of Inhibition and Neural Ensemble Size in Behavior Selection'. Together they form a unique fingerprint.Projects
- 3 Active
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Ethics for autonomous systems/AI
Balkenius, C., von Gerber, Y., Johansson, B., Zenker, F., Krantz, A. & Stenseke, J.
Marianne och Marcus Wallenbergs Stiftelse
2020/01/01 → 2024/12/31
Project: Research
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WASP-HS: Wallenberg AI, Autonomous Systems and Software Program – Humanities and Society
Balkenius, C., Wisbrant, J., Brinck, I. & Edling, C.
2019/06/03 → 2028/12/31
Project: Research
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AI Lund: Lund University AI Research
Åström, K., Malec, J., Larsson, S., Ohlsson, M., Balkenius, C., Dutceac Segesten, A., Haider, J., Willim, R., Ledendal, J., Aits, S., Hedlund, M., Wisbrant, J., Heiberg, E., Topp, E. A., Janneck, J., Klang, M., Brinck, I., Sundin, O., Westin, E. & Blom Lussi, E.
2018/01/01 → …
Project: Network
Equipment
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Lund University Cognitive Robotics Lab
Birger Johansson (Manager) & Christian Balkenius (Manager)
Cognitive ScienceInfrastructure