NIMH MonkeyLogic: Behavioral control and data acquisition in MATLAB.
J Neurosci Methods
; 323: 13-21, 2019 07 15.
Article
em En
| MEDLINE
| ID: mdl-31071345
ABSTRACT
BACKGROUND:
Computerized control of behavioral paradigms is an essential element of neurobehavioral studies, especially physiological recording studies that require sub-millisecond precision. Few software solutions provide a simple, flexible environment to create and run these applications. MonkeyLogic, a MATLAB-based package, was developed to meet these needs, but faces a performance crisis and obsolescence due to changes in MATLAB itself. NEWMETHOD:
Here we report a complete redesign and rewrite of MonkeyLogic, now NIMH MonkeyLogic, that natively supports the latest 64-bit MATLAB on the Windows platform. Major layers of the underlying real-time hardware control were removed and replaced by custom toolboxes NIMH DAQ Toolbox and MonkeyLogic Graphics Library. The redesign resolves undesirable delays in data transfers and limitations in graphics capabilities.RESULTS:
NIMH MonkeyLogic is essentially a new product. It provides a powerful new scripting framework, has dramatic speed enhancements and provides major new graphics abilities. COMPARISON WITH EXISTINGMETHOD:
NIMH MonkeyLogic is fully backward compatible with earlier task scripts, but with better temporal precision. It provides more input device options, superior graphics and a new real-time closed-loop programming model. Because NIMH MonkeyLogic requires no commercial toolbox and has a reduced hardware requirement, implementation costs are substantially reduced.CONCLUSION:
NIMH MonkeyLogic is a versatile, powerful, up-to-date tool for controlling a wide range of experiments. It is freely available from https//monkeylogic.nimh.nih.gov/.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Desempenho Psicomotor
/
Psicofísica
/
Percepção Auditiva
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Percepção Visual
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Neurociências
/
Pesquisa Comportamental
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Neurofisiologia
Limite:
Humans
País/Região como assunto:
America do norte
Idioma:
En
Revista:
J Neurosci Methods
Ano de publicação:
2019
Tipo de documento:
Article