Literature DB >> 16168492

A liquid-delivery device that provides precise reward control for neurophysiological and behavioral experiments.

Andrew R Mitz1.   

Abstract

Behavioral neurophysiology and other kinds of behavioral research often involve the delivery of liquid rewards to experimental subjects performing some kind of operant task. Available systems use gravity or pumps to deliver these fluids, but such methods are poorly suited to moment-to-moment control of the volume, timing, and type of fluid delivered. The design described here overcomes these limitations using an electronic control unit, a pressurized reservoir unit, and an electronically controlled solenoid. The control unit monitors reservoir pressure and provides precisely timed solenoid activation signals. It also stores calibration tables and does on-the-fly interpolation to support computer-controlled delivery calibrated directly in milliliters. The reservoir provides pressurized liquid to a solenoid mounted near the subject. Multiple solenoids, each supplied by a separate reservoir unit and control unit, can be stacked in close proximity to allow instantaneous selection of which liquid reward is delivered. The precision of droplet delivery was verified by weighing discharged droplets on a commercial analytical balance.

Mesh:

Year:  2005        PMID: 16168492     DOI: 10.1016/j.jneumeth.2005.07.012

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


  17 in total

1.  Amygdala Contributions to Stimulus-Reward Encoding in the Macaque Medial and Orbital Frontal Cortex during Learning.

Authors:  Peter H Rudebeck; Joshua A Ripple; Andrew R Mitz; Bruno B Averbeck; Elisabeth A Murray
Journal:  J Neurosci       Date:  2017-01-25       Impact factor: 6.167

2.  Reward-related choices determine information timing and flow across macaque lateral prefrontal cortex.

Authors:  Hua Tang; Ramon Bartolo; Bruno B Averbeck
Journal:  Nat Commun       Date:  2021-02-09       Impact factor: 14.919

3.  An automatic experimental apparatus to study arm reaching in New World monkeys.

Authors:  Allen Yin; Jehi An; Gary Lehew; Mikhail A Lebedev; Miguel A L Nicolelis
Journal:  J Neurosci Methods       Date:  2016-02-27       Impact factor: 2.390

4.  Subcortical Substrates of Explore-Exploit Decisions in Primates.

Authors:  Vincent D Costa; Andrew R Mitz; Bruno B Averbeck
Journal:  Neuron       Date:  2019-06-10       Impact factor: 17.173

5.  Primate Orbitofrontal Cortex Codes Information Relevant for Managing Explore-Exploit Tradeoffs.

Authors:  Vincent D Costa; Bruno B Averbeck
Journal:  J Neurosci       Date:  2020-02-14       Impact factor: 6.167

6.  Rewards evoke learning of unconsciously processed visual stimuli in adult humans.

Authors:  Aaron R Seitz; Dongho Kim; Takeo Watanabe
Journal:  Neuron       Date:  2009-03-12       Impact factor: 17.173

7.  Dopamine modulates novelty seeking behavior during decision making.

Authors:  Vincent D Costa; Valery L Tran; Janita Turchi; Bruno B Averbeck
Journal:  Behav Neurosci       Date:  2014-06-09       Impact factor: 1.912

8.  Divergence of fMRI and neural signals in V1 during perceptual suppression in the awake monkey.

Authors:  Alexander Maier; Melanie Wilke; Christopher Aura; Charles Zhu; Frank Q Ye; David A Leopold
Journal:  Nat Neurosci       Date:  2008-08-24       Impact factor: 24.884

9.  Gustatory responses in macaque monkeys revealed with fMRI: Comments on taste, taste preference, and internal state.

Authors:  Peter M Kaskan; Aaron M Dean; Mark A Nicholas; Andrew R Mitz; Elisabeth A Murray
Journal:  Neuroimage       Date:  2018-10-03       Impact factor: 6.556

10.  Evaluating self-generated decisions in frontal pole cortex of monkeys.

Authors:  Satoshi Tsujimoto; Aldo Genovesio; Steven P Wise
Journal:  Nat Neurosci       Date:  2009-12-06       Impact factor: 24.884

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