Literature DB >> 17604115

MatOFF: a tool for analyzing behaviorally complex neurophysiological experiments.

Aldo Genovesio1, Andrew R Mitz.   

Abstract

The simple operant conditioning originally used in behavioral neurophysiology 30 years ago has given way to complex and sophisticated behavioral paradigms; so much so, that early general purpose programs for analyzing neurophysiological data are ill-suited for complex experiments. The trend has been to develop custom software for each class of experiment, but custom software can have serious drawbacks. We describe here a general purpose software tool for behavioral and electrophysiological studies, called MatOFF, that is especially suited for processing neurophysiological data gathered during the execution of complex behaviors. Written in the MATLAB programming language, MatOFF solves the problem of handling complex analysis requirements in a unique and powerful way. While other neurophysiological programs are either a loose collection of tools or append MATLAB as a post-processing step, MatOFF is an integrated environment that supports MATLAB scripting within the event search engine safely isolated in a programming sandbox. The results from scripting are stored separately, but in parallel with the raw data, and thus available to all subsequent MatOFF analysis and display processing. An example from a recently published experiment shows how all the features of MatOFF work together to analyze complex experiments and mine neurophysiological data in efficient ways.

Mesh:

Year:  2007        PMID: 17604115      PMCID: PMC1987365          DOI: 10.1016/j.jneumeth.2007.05.026

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


  6 in total

Review 1.  Neuroscience databases: tools for exploring brain structure-function relationships.

Authors:  R Kötter
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2001-08-29       Impact factor: 6.237

Review 2.  Role of the hippocampal system in conditional motor learning: mapping antecedents to action.

Authors:  S P Wise; E A Murray
Journal:  Hippocampus       Date:  1999       Impact factor: 3.899

3.  A relational database for trial-based behavioral experiments.

Authors:  David C Bradley; Massimo Mascaro; Satish Santhakumar
Journal:  J Neurosci Methods       Date:  2005-01-30       Impact factor: 2.390

4.  Prefrontal cortex activity related to abstract response strategies.

Authors:  Aldo Genovesio; Peter J Brasted; Andrew R Mitz; Steven P Wise
Journal:  Neuron       Date:  2005-07-21       Impact factor: 17.173

5.  Representation of future and previous spatial goals by separate neural populations in prefrontal cortex.

Authors:  Aldo Genovesio; Peter J Brasted; Steven P Wise
Journal:  J Neurosci       Date:  2006-07-05       Impact factor: 6.167

Review 6.  The emergence of modern neuroscience: some implications for neurology and psychiatry.

Authors:  W M Cowan; D H Harter; E R Kandel
Journal:  Annu Rev Neurosci       Date:  2000       Impact factor: 12.449

  6 in total
  6 in total

1.  Using pupil size and heart rate to infer affective states during behavioral neurophysiology and neuropsychology experiments.

Authors:  Andrew R Mitz; Ravi V Chacko; Philip T Putnam; Peter H Rudebeck; Elisabeth A Murray
Journal:  J Neurosci Methods       Date:  2017-01-13       Impact factor: 2.390

2.  Automatic comparison of stimulus durations in the primate prefrontal cortex: the neural basis of across-task interference.

Authors:  Aldo Genovesio; Rossella Cirillo; Satoshi Tsujimoto; Sara Mohammad Abdellatif; Steven P Wise
Journal:  J Neurophysiol       Date:  2015-04-22       Impact factor: 2.714

3.  Context-Dependent Duration Signals in the Primate Prefrontal Cortex.

Authors:  Aldo Genovesio; Lucia K Seitz; Satoshi Tsujimoto; Steven P Wise
Journal:  Cereb Cortex       Date:  2015-07-24       Impact factor: 5.357

Review 4.  The influence of recent decisions on future goal selection.

Authors:  Aldo Genovesio; Stefano Ferraina
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-11-05       Impact factor: 6.237

5.  Transfer of the nonmatch-to-goal rule in monkeys across cognitive domains.

Authors:  Rossella Falcone; Sara Bevacqua; Erika Cerasti; Emiliano Brunamonti; Milena Cervelloni; Aldo Genovesio
Journal:  PLoS One       Date:  2013-12-31       Impact factor: 3.240

6.  Neural activity in macaque medial frontal cortex represents others' choices.

Authors:  Rossella Falcone; Rossella Cirillo; Stefano Ferraina; Aldo Genovesio
Journal:  Sci Rep       Date:  2017-10-04       Impact factor: 4.379

  6 in total

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