Literature DB >> 11069956

Distributed and partially separate pools of neurons are correlated with two different components of the gill-withdrawal reflex in Aplysia.

M Zochowski1, L B Cohen, G Fuhrmann, D Kleinfeld.   

Abstract

We compared the spike activity of individual neurons in the Aplysia abdominal ganglion with the movement of the gill during the gill-withdrawal reflex. We discriminated four populations that collectively encompass approximately half of the active neurons in the ganglion: (1) second-order sensory neurons that respond to the onset and offset of stimulation of the gill and are active before the movement starts; (2) neurons whose activity is correlated with the position of the gill and typically have a tonic output during gill withdrawal; (3) neurons whose activity is correlated with the velocity of the movement and typically fire in a phasic manner; and (4) neurons whose activity is correlated with both position and velocity. A reliable prediction of the position of the gill is achieved only with the combined output of 15-20 neurons, whereas a reliable prediction of the velocity depends on the combined output of 40 or more cells.

Mesh:

Year:  2000        PMID: 11069956      PMCID: PMC6773152     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  27 in total

1.  448-detector optical recording system: development and application to Aplysia gill-withdrawal reflex.

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Journal:  IEEE Trans Biomed Eng       Date:  1992-01       Impact factor: 4.538

2.  Central neuron initiation of periodic gill movements.

Authors:  B Peretz
Journal:  Science       Date:  1969-11-28       Impact factor: 47.728

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Journal:  Eur J Neurosci       Date:  1996-09       Impact factor: 3.386

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Authors:  W T Newsome; K H Britten; J A Movshon
Journal:  Nature       Date:  1989-09-07       Impact factor: 49.962

5.  Hundreds of neurons in the Aplysia abdominal ganglion are active during the gill-withdrawal reflex.

Authors:  D Zecević; J Y Wu; L B Cohen; J A London; H P Höpp; C X Falk
Journal:  J Neurosci       Date:  1989-10       Impact factor: 6.167

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Authors:  A P Georgopoulos; A B Schwartz; R E Kettner
Journal:  Science       Date:  1986-09-26       Impact factor: 47.728

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Journal:  J Neurophysiol       Date:  1974-09       Impact factor: 2.714

Review 8.  Parallel processing of short-term memory for sensitization in Aplysia.

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Journal:  Annu Rev Neurosci       Date:  1979       Impact factor: 12.449

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Authors:  J Koester; E R Kandel
Journal:  Brain Res       Date:  1977-01-31       Impact factor: 3.252

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Review 4.  Robust circuit rhythms in small circuits arise from variable circuit components and mechanisms.

Authors:  Eve Marder; Marie L Goeritz; Adriane G Otopalik
Journal:  Curr Opin Neurobiol       Date:  2014-11-06       Impact factor: 6.627

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Journal:  Curr Opin Neurobiol       Date:  2016-01-15       Impact factor: 6.627

6.  Tactile and non-tactile sensory paradigms for fMRI and neurophysiologic studies in rodents.

Authors:  Basavaraju G Sanganahalli; Christopher J Bailey; Peter Herman; Fahmeed Hyder
Journal:  Methods Mol Biol       Date:  2009

7.  Validation of independent component analysis for rapid spike sorting of optical recording data.

Authors:  Evan S Hill; Caroline Moore-Kochlacs; Sunil K Vasireddi; Terrence J Sejnowski; William N Frost
Journal:  J Neurophysiol       Date:  2010-09-22       Impact factor: 2.714

Review 8.  Recent developments in VSD imaging of small neuronal networks.

Authors:  Evan S Hill; Angela M Bruno; William N Frost
Journal:  Learn Mem       Date:  2014-09-15       Impact factor: 2.460

Review 9.  Monitoring Spiking Activity of Many Individual Neurons in Invertebrate Ganglia.

Authors:  W N Frost; C J Brandon; A M Bruno; M D Humphries; C Moore-Kochlacs; T J Sejnowski; J Wang; E S Hill
Journal:  Adv Exp Med Biol       Date:  2015       Impact factor: 2.622

  9 in total

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