Abstract
Economic decisions arise from evaluation of alternative actions in contexts of motivation and memory. In the predatory sea-slug Pleurobranchaea the economic decisions of foraging are found to occur by the workings of a simple, affectively controlled homeostat with learning abilities. Here, the neuronal circuit relations for approach-avoidance choice of Pleurobranchaea are expressed and tested in the foraging simulation Cyberslug. Choice is organized around appetitive state as a moment-to-moment integration of sensation, motivation (satiation/hunger), and memory. Appetitive state controls a switch for approach vs. avoidance turn responses to sensation. Sensory stimuli are separately integrated for incentive value into appetitive state, and for prey location (stimulus place) into mapping motor response. Learning interacts with satiation to regulate prey choice affectively. The virtual predator realistically reproduces the decisions of the real one in varying circumstances and satisfies optimal foraging criteria. The basic relations are open to experimental embellishment toward enhanced neural and behavioral complexity in simulation, as was the ancestral bilaterian nervous system in evolution.
| Original language | English (US) |
|---|---|
| Article number | e0400-17.2018 |
| Journal | eNeuro |
| Volume | 5 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1 2018 |
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Keywords
- Decision
- Homeostasis
- Learning
- Motivation
- Pleurobranchaea
- Simulation
ASJC Scopus subject areas
- Neuroscience(all)
Cite this
Implementing goal-directed foraging decisions of a simpler nervous system in simulation. / Brown, Jeffrey W.; Caetano-Anollés, Derek; Catanho, Marianne; Gribkova, Ekaterina; Ryckman, Nathaniel; Tian, Kun; Voloshin, Mikhail; Gillette, Rhanor.
In: eNeuro, Vol. 5, No. 1, e0400-17.2018, 01.01.2018.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Implementing goal-directed foraging decisions of a simpler nervous system in simulation
AU - Brown, Jeffrey W.
AU - Caetano-Anollés, Derek
AU - Catanho, Marianne
AU - Gribkova, Ekaterina
AU - Ryckman, Nathaniel
AU - Tian, Kun
AU - Voloshin, Mikhail
AU - Gillette, Rhanor
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Economic decisions arise from evaluation of alternative actions in contexts of motivation and memory. In the predatory sea-slug Pleurobranchaea the economic decisions of foraging are found to occur by the workings of a simple, affectively controlled homeostat with learning abilities. Here, the neuronal circuit relations for approach-avoidance choice of Pleurobranchaea are expressed and tested in the foraging simulation Cyberslug. Choice is organized around appetitive state as a moment-to-moment integration of sensation, motivation (satiation/hunger), and memory. Appetitive state controls a switch for approach vs. avoidance turn responses to sensation. Sensory stimuli are separately integrated for incentive value into appetitive state, and for prey location (stimulus place) into mapping motor response. Learning interacts with satiation to regulate prey choice affectively. The virtual predator realistically reproduces the decisions of the real one in varying circumstances and satisfies optimal foraging criteria. The basic relations are open to experimental embellishment toward enhanced neural and behavioral complexity in simulation, as was the ancestral bilaterian nervous system in evolution.
AB - Economic decisions arise from evaluation of alternative actions in contexts of motivation and memory. In the predatory sea-slug Pleurobranchaea the economic decisions of foraging are found to occur by the workings of a simple, affectively controlled homeostat with learning abilities. Here, the neuronal circuit relations for approach-avoidance choice of Pleurobranchaea are expressed and tested in the foraging simulation Cyberslug. Choice is organized around appetitive state as a moment-to-moment integration of sensation, motivation (satiation/hunger), and memory. Appetitive state controls a switch for approach vs. avoidance turn responses to sensation. Sensory stimuli are separately integrated for incentive value into appetitive state, and for prey location (stimulus place) into mapping motor response. Learning interacts with satiation to regulate prey choice affectively. The virtual predator realistically reproduces the decisions of the real one in varying circumstances and satisfies optimal foraging criteria. The basic relations are open to experimental embellishment toward enhanced neural and behavioral complexity in simulation, as was the ancestral bilaterian nervous system in evolution.
KW - Decision
KW - Homeostasis
KW - Learning
KW - Motivation
KW - Pleurobranchaea
KW - Simulation
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UR - http://www.scopus.com/inward/citedby.url?scp=85043382433&partnerID=8YFLogxK
U2 - 10.1523/ENEURO.0400-17.2018
DO - 10.1523/ENEURO.0400-17.2018
M3 - Article
C2 - 29503862
AN - SCOPUS:85043382433
VL - 5
JO - eNeuro
JF - eNeuro
SN - 2373-2822
IS - 1
M1 - e0400-17.2018
ER -