Literature DB >> 10854920

The neural code for taste in the brain stem: response profiles.

P M Di Lorenzo1.   

Abstract

In the study of the neural code for taste, two theories have dominated the literature: the across neuron pattern (ANP), and the labeled line theories. Both of these theories are based on the observations that taste cells are multisensitive across a variety of different taste stimuli. Given a fixed array of taste stimuli, a cell's particular set of sensitivities defines its response profile. The characteristics of response profiles are the basis of both major theories of coding. In reviewing the literature, it is apparent that response profiles are an expression of a complex interplay of excitatory and inhibitory inputs that derive from cells with a wide variety of sensitivity patterns. These observations suggest that, in the absence of inhibition, taste cells might be potentially responsive to all taste stimuli. Several studies also suggest that response profiles can be influenced by the taste context, defined as the taste stimulus presented just before or simultaneously with another, under which they are recorded. A theory, called dynamic coding, was proposed to account for context dependency of taste response profiles. In this theory, those cells that are unaffected by taste context would provide the signal, i.e., the information-containing portion of the ANP, and those cells whose responses are context dependent would provide noise, i.e., less stimulus specific information. When singular taste stimuli are presented, noise cells would provide amplification of the signal, and when complex mixtures are presented, the responses of the noise cells would be suppressed (depending on the particular combination of tastants), and the ratio of signal to noise would be enhanced.

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Year:  2000        PMID: 10854920     DOI: 10.1016/s0031-9384(00)00191-8

Source DB:  PubMed          Journal:  Physiol Behav        ISSN: 0031-9384


  14 in total

1.  Dynamic taste responses of parabrachial pontine neurons in awake rats.

Authors:  Madelyn A Baez-Santiago; Emily E Reid; Anan Moran; Joost X Maier; Yasmin Marrero-Garcia; Donald B Katz
Journal:  J Neurophysiol       Date:  2016-01-20       Impact factor: 2.714

2.  Impact of precisely-timed inhibition of gustatory cortex on taste behavior depends on single-trial ensemble dynamics.

Authors:  Narendra Mukherjee; Joseph Wachutka; Donald B Katz
Journal:  Elife       Date:  2019-06-24       Impact factor: 8.140

3.  Recognizing Taste: Coding Patterns Along the Neural Axis in Mammals.

Authors:  Kathrin Ohla; Ryusuke Yoshida; Stephen D Roper; Patricia M Di Lorenzo; Jonathan D Victor; John D Boughter; Max Fletcher; Donald B Katz; Nirupa Chaudhari
Journal:  Chem Senses       Date:  2019-04-15       Impact factor: 3.160

Review 4.  The neurocognitive bases of human multimodal food perception: consciousness.

Authors:  Justus V Verhagen
Journal:  Brain Res Rev       Date:  2006-10-06

5.  Molecular basis of fatty acid taste in Drosophila.

Authors:  Ji-Eun Ahn; Yan Chen; Hubert Amrein
Journal:  Elife       Date:  2017-12-12       Impact factor: 8.140

6.  Orosensory and Homeostatic Functions of the Insular Taste Cortex.

Authors:  Ivan E de Araujo; Paul Geha; Dana M Small
Journal:  Chemosens Percept       Date:  2012-03-01       Impact factor: 1.833

7.  Variability in responses and temporal coding of tastants of similar quality in the nucleus of the solitary tract of the rat.

Authors:  Andre T Roussin; Jonathan D Victor; Jen-Yung Chen; Patricia M Di Lorenzo
Journal:  J Neurophysiol       Date:  2007-10-03       Impact factor: 2.714

8.  Two types of inhibitory influences target different groups of taste-responsive cells in the nucleus of the solitary tract of the rat.

Authors:  Andrew M Rosen; Patricia M Di Lorenzo
Journal:  Brain Res       Date:  2009-04-14       Impact factor: 3.252

9.  Bitter-responsive gustatory neurons in the rat parabrachial nucleus.

Authors:  Laura C Geran; Susan P Travers
Journal:  J Neurophysiol       Date:  2009-01-07       Impact factor: 2.714

10.  Evolutionary conserved brainstem circuits encode category, concentration and mixtures of taste.

Authors:  Nuria Vendrell-Llopis; Emre Yaksi
Journal:  Sci Rep       Date:  2015-12-07       Impact factor: 4.379

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