Literature DB >> 19830256

Cycle-to-cycle variability as an optimal behavioral strategy.

Vladimir Brezina1, Alex Proekt, Klaudiusz R Weiss.   

Abstract

Aplysia feeding behavior is highly variable from cycle to cycle. In some cycles, when the variability causes a mismatch between the animal's movements and the requirements of the feeding task, the variability makes the behavior unsuccessful. We propose that the behavior is variable nevertheless because the variability serves a higher-order functional purpose. When the animal is faced with a new and only imperfectly known feeding task in each cycle, the variability implements a trial-and-error search through the space of possible feeding movements. Over many cycles, this may be the animal's optimal strategy in an uncertain and changing feeding environment.

Year:  2006        PMID: 19830256      PMCID: PMC2760769          DOI: 10.1016/j.neucom.2005.12.057

Source DB:  PubMed          Journal:  Neurocomputing        ISSN: 0925-2312            Impact factor:   5.719


  9 in total

1.  Neuromuscular modulation in Aplysia. II. Modulation of the neuromuscular transform in behavior.

Authors:  Vladimir Brezina; Irina V Orekhova; Klaudiusz R Weiss
Journal:  J Neurophysiol       Date:  2003-07-09       Impact factor: 2.714

2.  Neuromuscular modulation in Aplysia. I. Dynamic model.

Authors:  Vladimir Brezina; Irina V Orekhova; Klaudiusz R Weiss
Journal:  J Neurophysiol       Date:  2003-07-09       Impact factor: 2.714

3.  Cycle-to-cycle variability of neuromuscular activity in Aplysia feeding behavior.

Authors:  Charles C Horn; Yuriy Zhurov; Irina V Orekhova; Alex Proekt; Irving Kupfermann; Klaudiusz R Weiss; Vladimir Brezina
Journal:  J Neurophysiol       Date:  2004-02-25       Impact factor: 2.714

4.  Modeling neuromuscular modulation in Aplysia. III. Interaction of central motor commands and peripheral modulatory state for optimal behavior.

Authors:  Vladimir Brezina; Charles C Horn; Klaudiusz R Weiss
Journal:  J Neurophysiol       Date:  2004-10-06       Impact factor: 2.714

5.  Tight or loose coupling between components of the feeding neuromusculature of Aplysia?

Authors:  Yuriy Zhurov; Klaudiusz R Weiss; Vladimir Brezina
Journal:  J Neurophysiol       Date:  2005-05-25       Impact factor: 2.714

6.  Variability of swallowing performance in intact, freely feeding aplysia.

Authors:  Cecilia S Lum; Yuriy Zhurov; Elizabeth C Cropper; Klaudiusz R Weiss; Vladimir Brezina
Journal:  J Neurophysiol       Date:  2005-06-08       Impact factor: 2.714

7.  Motor control of buccal muscles in Aplysia.

Authors:  J L Cohen; K R Weiss; I Kupfermann
Journal:  J Neurophysiol       Date:  1978-01       Impact factor: 2.714

8.  Feeding behavior in Aplysia: a simple system for the study of motivation.

Authors:  I Kupfermann
Journal:  Behav Biol       Date:  1974-01

Review 9.  Comparative neuroethology of feeding control in molluscs.

Authors:  C J H Elliott; A J Susswein
Journal:  J Exp Biol       Date:  2002-04       Impact factor: 3.312

  9 in total
  7 in total

1.  Variability of swallowing performance in intact, freely feeding aplysia.

Authors:  Cecilia S Lum; Yuriy Zhurov; Elizabeth C Cropper; Klaudiusz R Weiss; Vladimir Brezina
Journal:  J Neurophysiol       Date:  2005-06-08       Impact factor: 2.714

Review 2.  Phylogenetic and individual variation in gastropod central pattern generators.

Authors:  Akira Sakurai; Paul S Katz
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2015-04-03       Impact factor: 1.836

3.  Cycle-by-cycle assembly of respiratory network activity is dynamic and stochastic.

Authors:  Michael S Carroll; Jan-Marino Ramirez
Journal:  J Neurophysiol       Date:  2012-09-19       Impact factor: 2.714

4.  The neuromuscular transform in a single segment of a segmented heart tube.

Authors:  Angela Wenning; Young Rim Chang; Brian J Norris; Ronald L Calabrese
Journal:  J Neurophysiol       Date:  2020-08-05       Impact factor: 2.714

5.  Successful and unsuccessful attempts to swallow in a reduced Aplysia preparation regulate feeding responses and produce memory at different neural sites.

Authors:  Jeffrey M McManus; Hillel J Chiel; Abraham J Susswein
Journal:  Learn Mem       Date:  2019-04-16       Impact factor: 2.460

6.  Functional organization and adaptability of a decision-making network in aplysia.

Authors:  Romuald Nargeot; John Simmers
Journal:  Front Neurosci       Date:  2012-07-26       Impact factor: 4.677

7.  Synaptic mechanisms for motor variability in a feedforward network.

Authors:  Guo Zhang; Ke Yu; Tao Wang; Ting-Ting Chen; Wang-Ding Yuan; Fan Yang; Zi-Wei Le; Shi-Qi Guo; Ying-Yu Xue; Song-An Chen; Zhe Yang; Feng Liu; Elizabeth C Cropper; Klaudiusz R Weiss; Jian Jing
Journal:  Sci Adv       Date:  2020-06-19       Impact factor: 14.957

  7 in total

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