Measurement of Time-Dependent Changes in the Irregularity of Neural Spiking

1 The Clinical School, Addenbrooke's Hospital, Cambridge, United Kingdom; 2 Department of Neuroscience, University of Pennsylvania, Philadelphia, Pennsylvania; and 3 University of Newcastle upon Tyne, Sir James Spence Institute, Royal Victoria Infirmary, Newcastle upon Tyne, United Kingdom Subm...

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Veröffentlicht in:Journal of neurophysiology 2006-08, Vol.96 (2), p.906-918
Hauptverfasser: Davies, Ronnie M, Gerstein, George L, Baker, Stuart N
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container_issue 2
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container_title Journal of neurophysiology
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creator Davies, Ronnie M
Gerstein, George L
Baker, Stuart N
description 1 The Clinical School, Addenbrooke's Hospital, Cambridge, United Kingdom; 2 Department of Neuroscience, University of Pennsylvania, Philadelphia, Pennsylvania; and 3 University of Newcastle upon Tyne, Sir James Spence Institute, Royal Victoria Infirmary, Newcastle upon Tyne, United Kingdom Submitted 30 September 2005; accepted in final form 9 March 2006 Irregularity of firing in spike trains has been associated with coding processes and information transfer or alternatively treated as noise. Previous studies of irregularity have mainly used the coefficient of variation (CV) of the interspike interval distribution. Proper estimation of CV requires a constant underlying firing rate, a condition that most experimental situations do not fulfill either within or across trials. Here we introduce a novel irregularity metric based on the ratio of adjacent intervals in the spike train. The new metric is not affected by firing rate and is very localized in time so that it can be used to examine the time course of irregularity relative to an alignment marker. We characterized properties of the new metric with simulated spike trains of known characteristics and then applied it to data recorded from 108 single neurons in the motor cortex of two monkeys during performance of a precision grip task. Fifty-six cells were antidromically identified as pyramidal tract neurons (PTNs). Sixty-one cells (30 PTNs) exhibited significant temporal modulation of their irregularity during task performance with the contralateral hand. The irregularity modulations generally differed in sign and latency from the modulations of firing rate. High irregularity tended to occur during the task phases requiring the most detailed control of movement, whereas neural firing became more regular during the steady hold phase. Such irregularity modulation could have important consequences for the response of downstream neurons and may provide insight into the nature of the cortical code. Address for reprint requests and other correspondence: S. N. Baker, University of Newcastle upon Tyne, Sir James Spence Institute, Royal Victoria Infirmary, Newcastle upon Tyne NE1 4LP, UK (E-mail: stuart.baker{at}ncl.ac.uk )
doi_str_mv 10.1152/jn.01030.2005
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Previous studies of irregularity have mainly used the coefficient of variation (CV) of the interspike interval distribution. Proper estimation of CV requires a constant underlying firing rate, a condition that most experimental situations do not fulfill either within or across trials. Here we introduce a novel irregularity metric based on the ratio of adjacent intervals in the spike train. The new metric is not affected by firing rate and is very localized in time so that it can be used to examine the time course of irregularity relative to an alignment marker. We characterized properties of the new metric with simulated spike trains of known characteristics and then applied it to data recorded from 108 single neurons in the motor cortex of two monkeys during performance of a precision grip task. Fifty-six cells were antidromically identified as pyramidal tract neurons (PTNs). 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Previous studies of irregularity have mainly used the coefficient of variation (CV) of the interspike interval distribution. Proper estimation of CV requires a constant underlying firing rate, a condition that most experimental situations do not fulfill either within or across trials. Here we introduce a novel irregularity metric based on the ratio of adjacent intervals in the spike train. The new metric is not affected by firing rate and is very localized in time so that it can be used to examine the time course of irregularity relative to an alignment marker. We characterized properties of the new metric with simulated spike trains of known characteristics and then applied it to data recorded from 108 single neurons in the motor cortex of two monkeys during performance of a precision grip task. Fifty-six cells were antidromically identified as pyramidal tract neurons (PTNs). Sixty-one cells (30 PTNs) exhibited significant temporal modulation of their irregularity during task performance with the contralateral hand. The irregularity modulations generally differed in sign and latency from the modulations of firing rate. High irregularity tended to occur during the task phases requiring the most detailed control of movement, whereas neural firing became more regular during the steady hold phase. Such irregularity modulation could have important consequences for the response of downstream neurons and may provide insight into the nature of the cortical code. Address for reprint requests and other correspondence: S. N. 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subjects Algorithms
Animals
Behavior, Animal - physiology
Data Interpretation, Statistical
Electrodes, Implanted
Electrophysiology
Female
Functional Laterality - physiology
Hand Strength - physiology
Macaca
Models, Neurological
Motor Cortex - cytology
Motor Cortex - physiology
Neurons - physiology
Psychomotor Performance - physiology
Time Factors
title Measurement of Time-Dependent Changes in the Irregularity of Neural Spiking
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