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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/1661

Title: Flexible modelling of neuron firing rates across different experimental conditions: an application to neural activity in the prefrontal cortex during a discrimination task
Authors: Cadarso-Suarez, C
Roca-Pardinas, J
Molenberghs, Geert
Faes, Christel
Nacher, V
Ojeda, S
Acuna, Carlos
Issue Date: 2006
Citation: JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 55(4). p. 431-447
Abstract: In many electrophysiological experiments the main objectives include estimation of the firing rate of a single neuron, as well as a comparison of its temporal evolution across different experimental conditions. To accomplish these two goals, we propose a flexible approach based on the logistic generalized additive model including condition-by-time interactions. If an interaction of this type is detected in the model, we then establish that the use of the temporal odds ratio curves is very useful in discriminating between the conditions under which the firing probability is higher. Bootstrap techniques are used for testing for interactions and constructing pointwise confidence bands for the true odds ratio curves. Finally, we apply the new methodology to assessing relationships between neural response and decision-making in movement-selective neurons in the prefrontal cortex of behaving monkeys.
URI: http://hdl.handle.net/1942/1661
DOI: 10.1111/j.1467-9876.2006.00545.x
ISI #: 000239895400001
ISSN: 0035-9254
Category: A1
Type: Journal Contribution
Validation: ecoom, 2007
Appears in Collections: Research publications

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