Literature DB >> 2634256

Lick sensors as tools in behavioral and neuroscience research.

J A Weijnen1.   

Abstract

Lick sensors can be valuable tools in behavioral and neuroscience research on licking and drinking behavior. The focus of this discussion is the recording of licking in the rat. However, comments on the application of these sensors to the measuring of fluid intake are included as well. Lick sensors should be used with adequate precautions. Some constraint on the access of the animal to the drinking tube is necessary for the adequate recording of each single lick. Published drawbacks to the use of electrically operated lick sensors are discussed, and reduced to realistic proportions. With these latter sensors one can obtain behavioral and electrophysiological data that are directly related to the time of making and breaking contact of the tongue with the fluid that is drunk.

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Year:  1989        PMID: 2634256     DOI: 10.1016/0031-9384(89)90192-3

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


  10 in total

1.  A low-cost solution to measure mouse licking in an electrophysiological setup with a standard analog-to-digital converter.

Authors:  Abdallah Hayar; Jeri L Bryant; John D Boughter; Detlef H Heck
Journal:  J Neurosci Methods       Date:  2005-12-20       Impact factor: 2.390

2.  A simple 2-transistor touch or lick detector circuit.

Authors:  Burton Slotnick
Journal:  J Exp Anal Behav       Date:  2009-03       Impact factor: 2.468

3.  Establishing meal patterns by lickometry in the marmoset monkey (Callithrix jacchus): translational applications from the bench to the field and the clinic.

Authors:  Corinna N Ross; Michael L Power; Suzette D Tardif
Journal:  Am J Primatol       Date:  2012-06-15       Impact factor: 2.371

4.  Leptin regulates the reward value of nutrient.

Authors:  Ana I Domingos; Jake Vaynshteyn; Henning U Voss; Xueying Ren; Viviana Gradinaru; Feng Zang; Karl Deisseroth; Ivan E de Araujo; Jeffrey Friedman
Journal:  Nat Neurosci       Date:  2011-11-13       Impact factor: 24.884

5.  Influence of Recent Trial History on Interval Timing.

Authors:  Taorong Xie; Can Huang; Yijie Zhang; Jing Liu; Haishan Yao
Journal:  Neurosci Bull       Date:  2022-10-08       Impact factor: 5.271

6.  Making time count: functional evidence for temporal coding of taste sensation.

Authors:  Patricia M Di Lorenzo; Sergey Leshchinskiy; Dana N Moroney; Jasen M Ozdoba
Journal:  Behav Neurosci       Date:  2009-02       Impact factor: 1.912

7.  Second-order stimuli do not always increase overall response rates in second-order schedules of reinforcement in the rat.

Authors:  David I G Wilson; E M Bowman
Journal:  Psychopharmacology (Berl)       Date:  2004-04-09       Impact factor: 4.530

8.  Adapting human videofluoroscopic swallow study methods to detect and characterize dysphagia in murine disease models.

Authors:  Teresa E Lever; Sabrina M Braun; Ryan T Brooks; Rebecca A Harris; Loren L Littrell; Ryan M Neff; Cameron J Hinkel; Mitchell J Allen; Mollie A Ulsas
Journal:  J Vis Exp       Date:  2015-03-01       Impact factor: 1.355

9.  Food and water restriction lead to differential learning behaviors in a head-fixed two-choice visual discrimination task for mice.

Authors:  Pieter M Goltstein; Sandra Reinert; Annet Glas; Tobias Bonhoeffer; Mark Hübener
Journal:  PLoS One       Date:  2018-09-13       Impact factor: 3.240

10.  An open-source lickometer and microstructure analysis program.

Authors:  Martin A Raymond; Thomas G Mast; Joseph M Breza
Journal:  HardwareX       Date:  2018-06-20
  10 in total

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