Literature DB >> 2551392

Modeling the olfactory bulb and its neural oscillatory processings.

Z Li1, J J Hopfield.   

Abstract

The olfactory bulb of mammals aids in the discrimination of odors. A mathematical model based on the bulbar anatomy and electrophysiology is described. Simulations of the highly non-linear model produce a 35-60 Hz modulated activity which is coherent across the bulb. The decision states (for the odor information) in this system can be thought of as stable cycles, rather than point stable states typical of simpler neuro-computing models. Analysis shows that a group of coupled non-linear oscillators are responsible for the oscillatory activities. The output oscillation pattern of the bulb is determined by the odor input. The model provides a framework in which to understand the transform between odor input and the bulbar output to olfactory cortex. There is significant correspondence between the model behavior and observed electrophysiology.

Mesh:

Year:  1989        PMID: 2551392     DOI: 10.1007/BF00200803

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  16 in total

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Journal:  Annu Rev Neurosci       Date:  1986       Impact factor: 12.449

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Journal:  Science       Date:  1971-02-26       Impact factor: 47.728

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Authors:  W J Freeman
Journal:  Biol Cybern       Date:  1979-12       Impact factor: 2.086

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Authors:  G Sicard; A Holley
Journal:  Brain Res       Date:  1984-02-06       Impact factor: 3.252

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Authors:  W J Freeman; W Schneider
Journal:  Psychophysiology       Date:  1982-01       Impact factor: 4.016

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Authors:  W J Freeman
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1978-05

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Authors:  T V Getchell; G M Shepherd
Journal:  J Physiol       Date:  1978-09       Impact factor: 5.182

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Authors:  W J Freeman
Journal:  IEEE Trans Biomed Eng       Date:  1980-08       Impact factor: 4.538

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Authors:  K Mori; K Kishi
Journal:  Brain Res       Date:  1982-09-09       Impact factor: 3.252

10.  Nonlinear gain mediating cortical stimulus-response relations.

Authors:  W J Freeman
Journal:  Biol Cybern       Date:  1979-08       Impact factor: 2.086

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  29 in total

1.  Odors elicit three different oscillations in the turtle olfactory bulb.

Authors:  Y W Lam; L B Cohen; M Wachowiak; M R Zochowski
Journal:  J Neurosci       Date:  2000-01-15       Impact factor: 6.167

2.  Significance of glomerular compartmentalization for olfactory coding.

Authors:  D Schild; H Riedel
Journal:  Biophys J       Date:  1992-03       Impact factor: 4.033

3.  Modulation of function and gated learning in a network memory.

Authors:  L F Abbott
Journal:  Proc Natl Acad Sci U S A       Date:  1990-12       Impact factor: 11.205

Review 4.  Neurophysiological and computational principles of cortical rhythms in cognition.

Authors:  Xiao-Jing Wang
Journal:  Physiol Rev       Date:  2010-07       Impact factor: 37.312

5.  Accessory olfactory learning.

Authors:  J G Taylor; E B Keverne
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

6.  Lateral dendritic shunt inhibition can regularize mitral cell spike patterning.

Authors:  François David; Christiane Linster; Thomas A Cleland
Journal:  J Comput Neurosci       Date:  2007-12-01       Impact factor: 1.621

7.  GABAergic inhibition at dendrodendritic synapses tunes gamma oscillations in the olfactory bulb.

Authors:  Samuel Lagier; Patrizia Panzanelli; Raúl E Russo; Antoine Nissant; Brice Bathellier; Marco Sassoè-Pognetto; Jean-Marc Fritschy; Pierre-Marie Lledo
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-11       Impact factor: 11.205

8.  Computation of frequency-to-spatial transform by olfactory bulb glomeruli.

Authors:  P S Antón; G Lynch; R Granger
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

9.  Olfactory system gamma oscillations: the physiological dissection of a cognitive neural system.

Authors:  Daniel Rojas-Líbano; Leslie M Kay
Journal:  Cogn Neurodyn       Date:  2008-06-19       Impact factor: 5.082

10.  A biologically inspired model for pattern recognition.

Authors:  Eduardo Gonzalez; Hans Liljenström; Yusely Ruiz; Guang Li
Journal:  J Zhejiang Univ Sci B       Date:  2010-02       Impact factor: 3.066

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