Literature DB >> 7815815

A system for quantitative analysis of associative learning. Part 1. Hardware interfaces with cross-species applications.

L T Thompson1, J R Moyer, E Akase, J F Disterhoft.   

Abstract

This paper describes a reliable, durable, and readily calibrated hardware interface system designed to present sensory stimuli at precise time intervals and to transduce and digitize behavioral data in classical conditioning experiments. It has been extensively tested in a 'model'-associative learning task, conditioning of eyeblink or nictitating membrane responses, but is readily adapted to other behavioral paradigms. Each system can run a pair of conditioned experimental or pseudoconditioned control subjects simultaneously, or collect data from a single subject carrying out two tasks simultaneously. The requirements of the system are defined, based around an inexpensive AT-class MS-DOS microcomputer. The interface hardware needed to present auditory tone conditioned stimuli and corneal airpuff-unconditioned stimuli to training subjects are detailed, with timing signals provided by TTL pulses generated at the digital output ports of an analog-to-digital (A/D) converter. An electronic circuit is described that provides stable inputs to the A/D converter, transducing eyeblink responses to voltage signals opto-electronically, without requiring any invasive attachment of the subject to the subject to the measuring device. The 1-piece eyeblink sensor used (selected for ease of alignment and maintenance) is also discussed. Examples of applications for classical conditioning of rabbits, rats, and human subjects are described. A companion paper describes data-acquisition and control software written as a user-friendly interface for this hardware system.

Entities:  

Mesh:

Year:  1994        PMID: 7815815     DOI: 10.1016/0165-0270(94)90165-1

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  23 in total

1.  The M1 muscarinic agonist CI-1017 facilitates trace eyeblink conditioning in aging rabbits and increases the excitability of CA1 pyramidal neurons.

Authors:  C Weiss; A R Preston; M M Oh; R D Schwarz; D Welty; J F Disterhoft
Journal:  J Neurosci       Date:  2000-01-15       Impact factor: 6.167

2.  Selective hippocampal lesions disrupt a novel cue effect but fail to eliminate blocking in rabbit eyeblink conditioning.

Authors:  M Todd Allen; Yahaira Padilla; Catherine E Myers; Mark A Gluck
Journal:  Cogn Affect Behav Neurosci       Date:  2002-12       Impact factor: 3.282

3.  Infragranular barrel cortex activity is enhanced with learning.

Authors:  Rebekah L Ward; Luke C Flores; John F Disterhoft
Journal:  J Neurophysiol       Date:  2012-06-13       Impact factor: 2.714

4.  Functional mapping of human learning: a positron emission tomography activation study of eyeblink conditioning.

Authors:  T A Blaxton; T A Zeffiro; J D Gabrieli; S Y Bookheimer; M C Carrillo; W H Theodore; J F Disterhoft
Journal:  J Neurosci       Date:  1996-06-15       Impact factor: 6.167

5.  Evoking blinks with natural stimulation and detecting them with a noninvasive optical device: a simple, inexpensive method for use with freely moving animals.

Authors:  Craig Weiss; John F Disterhoft
Journal:  J Neurosci Methods       Date:  2008-06-13       Impact factor: 2.390

6.  A system for studying facial nerve function in rats through simultaneous bilateral monitoring of eyelid and whisker movements.

Authors:  James T Heaton; Jeffrey M Kowaleski; Roberto Bermejo; H Philip Zeigler; David J Ahlgren; Tessa A Hadlock
Journal:  J Neurosci Methods       Date:  2008-03-22       Impact factor: 2.390

7.  Blocking in rabbit eyeblink conditioning is not due to learned inattention: indirect support for an error correction mechanism of blocking.

Authors:  M Todd Allen; Yahaira Padilla; Mark A Gluck
Journal:  Integr Physiol Behav Sci       Date:  2002 Oct-Dec

8.  Evidence for facial nerve-independent mechanisms of blinking in the rat.

Authors:  James T Heaton; Jeffrey Kowaleski; Colin Edwards; Christopher Smitson; Tessa A Hadlock
Journal:  Invest Ophthalmol Vis Sci       Date:  2009-08-26       Impact factor: 4.799

9.  Selective entorhinal and nonselective cortical-hippocampal region lesions, but not selective hippocampal lesions, disrupt learned irrelevance in rabbit eyeblink conditioning.

Authors:  M Todd Allen; Lori Chelius; Mark A Gluck
Journal:  Cogn Affect Behav Neurosci       Date:  2002-09       Impact factor: 3.282

10.  Silent trace eliminates differential eyeblink learning in abstinent alcoholics.

Authors:  Catherine Brawn Fortier; Arkadiy L Maksimovskiy; Jonathan R Venne; Ginette LaFleche; Regina E McGlinchey
Journal:  Int J Environ Res Public Health       Date:  2009-07-20       Impact factor: 3.390

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