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Rapid, accurate time estimation in zebrafish (Danio rerio).

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CeruttiJozefowiezStaddon2013.pdf
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Accepted version
222.8 Kb
Date
2013-10
Authors
Cerutti, DT
Jozefowiez, J
Staddon, JER
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Abstract
Zebrafish were tested in an appetitive Pavlovian delayed conditioning task. After an intertrial interval of k*T s (k=11.25; T=8, 16 or 32 s), a small, translucent vertical pole was illuminated (CS) for T s. Food was presented at T/2 s. Pole-biting response latencies from CS onset were a linear function of the food delay T/2, with slope approximating unity (proportional timing), and standard deviation proportional to latency (scalar timing). Response latencies tracked changes in food delays even when they changed every other day. These findings are significant because the zebrafish genome has recently been sequenced, opening the door to studies in the genetics of interval timing.
Type
Journal article
Subject
Interval timing
Pavlovian conditioning
Scalar property
Zebrafish
Animals
Appetitive Behavior
Behavior, Animal
Conditioning, Operant
Food
Psychomotor Performance
Reinforcement (Psychology)
Time Perception
Zebrafish
Permalink
https://hdl.handle.net/10161/15364
Published Version (Please cite this version)
10.1016/j.beproc.2013.06.007
Publication Info
Cerutti, DT; Jozefowiez, J; & Staddon, JER (2013). Rapid, accurate time estimation in zebrafish (Danio rerio). Behav Processes, 99. pp. 21-25. 10.1016/j.beproc.2013.06.007. Retrieved from https://hdl.handle.net/10161/15364.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Staddon

John E. R. Staddon

James B. Duke Distinguished Professor Emeritus of Psychology and Neuroscience
Until my retirement in 2007, my laboratory did experimental research on learning and adaptive behavior, mostly with animals: pigeons, rats, fish, parakeets.  We were particularly interested in timing and memory, feeding regulation, habituation and the ways in which pigeons and rats adapt to reward schedules. The aim  is to arrive at simple models for learning that can help to identify the underlying neural mechanisms. I continue to do theoretical and historical work on the power law in
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