Literature DB >> 23678029

Speed and accuracy of taste identification and palatability: impact of learning, reward expectancy, and consummatory licking.

Isaac O Perez1, Miguel Villavicencio, Sidney A Simon, Ranier Gutierrez.   

Abstract

Despite decades of study, it remains a matter of controversy as to whether in rats taste identification is a rapid process that occurs in about 250-600 ms (one to three licks) or a slow process that evolves over seconds. To address this issue, we trained rats to perform a taste-cued two-response discrimination task (2-RDT). It was found that, after learning, regardless of intensity, the delivery of 10 μl of a tastant (e.g., NaCl or monopotassium glutamate, MPG) was sufficient to identify its taste with maximal accuracy within 400 ms. However, despite overtraining, rats rarely stopped licking in one lick. Thus, a one-drop lick reaction task was developed in which subjects had to rapidly stop licking after release of a stop signal (tastants including water) to obtain rewards. The faster they stopped licking, the greater the reward. Rats did not stop licking after receiving either hedonically positive or negative stop signals, and thus failed to maximize rewards even when reinforced with even larger rewards. In fact, the higher the sucrose concentration given as a stop signal, the greater the number of consummatory licks elicited. However, with a stop signal of 2 mM quinine HCl, they stopped licking in ~370 ms, a time faster than that for sucrose or water, thus showing that in this rapid period, quinine HCl evoked an unpalatable response. Indeed, only when rats licked an empty sipper tube would they usually elicit a single lick to obtain a reward (operant licking). In summary, these data indicate that within 400 ms, taste identification and palatability, must either occur simultaneously or with marked overlap.

Entities:  

Keywords:  expectation; operant licks; palatability; reward; taste

Mesh:

Year:  2013        PMID: 23678029     DOI: 10.1152/ajpregu.00492.2012

Source DB:  PubMed          Journal:  Am J Physiol Regul Integr Comp Physiol        ISSN: 0363-6119            Impact factor:   3.619


  13 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.  The Behavioral Relevance of Cortical Neural Ensemble Responses Emerges Suddenly.

Authors:  Brian F Sadacca; Narendra Mukherjee; Tony Vladusich; Jennifer X Li; Donald B Katz; Paul Miller
Journal:  J Neurosci       Date:  2016-01-20       Impact factor: 6.167

3.  Taste coding in the parabrachial nucleus of the pons in awake, freely licking rats and comparison with the nucleus of the solitary tract.

Authors:  Michael S Weiss; Jonathan D Victor; Patricia M Di Lorenzo
Journal:  J Neurophysiol       Date:  2013-12-31       Impact factor: 2.714

4.  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

5.  Temporal signatures of taste quality driven by active sensing.

Authors:  Dustin M Graham; Chengsan Sun; David L Hill
Journal:  J Neurosci       Date:  2014-05-28       Impact factor: 6.167

Review 6.  The Insula and Taste Learning.

Authors:  Adonis Yiannakas; Kobi Rosenblum
Journal:  Front Mol Neurosci       Date:  2017-11-03       Impact factor: 5.639

Review 7.  The neuroscience of sugars in taste, gut-reward, feeding circuits, and obesity.

Authors:  Ranier Gutierrez; Esmeralda Fonseca; Sidney A Simon
Journal:  Cell Mol Life Sci       Date:  2020-01-31       Impact factor: 9.261

8.  Single and population coding of taste in the gustatory cortex of awake mice.

Authors:  David Levitan; Jian-You Lin; Joseph Wachutka; Narendra Mukherjee; Sacha B Nelson; Donald B Katz
Journal:  J Neurophysiol       Date:  2019-07-24       Impact factor: 2.714

9.  Sucrose intensity coding and decision-making in rat gustatory cortices.

Authors:  Esmeralda Fonseca; Victor de Lafuente; Sidney A Simon; Ranier Gutierrez
Journal:  Elife       Date:  2018-11-19       Impact factor: 8.140

10.  Breadth of tuning in taste afferent neurons varies with stimulus strength.

Authors:  An Wu; Gennady Dvoryanchikov; Elizabeth Pereira; Nirupa Chaudhari; Stephen D Roper
Journal:  Nat Commun       Date:  2015-09-16       Impact factor: 14.919

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