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Journal of Neuroscience Methods 160 (2007) 163170 Trial-by-trial estimation of amplitude and latency
 

Summary: Journal of Neuroscience Methods 160 (2007) 163170
Trial-by-trial estimation of amplitude and latency
variability in neuronal spike trains
Anil Bollimuntaa,, Kevin H. Knuthb,1, Mingzhou Dinga,2
a J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA
b Department of Physics, University at Albany (SUNY), Albany, NY 12222, USA
Received 7 June 2006; received in revised form 25 July 2006; accepted 2 August 2006
Abstract
The rate function underlying single-trial spike trains can vary from trial to trial. We propose to estimate the amplitude and latency variability
in single-trial neuronal spike trains on a trial-by-trial basis. The firing rate over a trial is modeled by a family of rate profiles with trial-invariant
waveform and trial-dependent amplitude scaling factors and latency shifts. Using a Bayesian inference framework we derive an iterative fixed-
point algorithm from which the single-trial amplitude scaling factors and latency shifts are estimated. We test the performance of the algorithm on
simulated data and then apply it to actual neuronal recordings from the sensorimotor cortex of the monkey.
2006 Elsevier B.V. All rights reserved.
Keywords: Trial-by-trial variability; Bayesian estimation; Spike trains; Latency
1. Introduction
On a trial-by-trial basis, cortical activity evoked by sensory
stimulation or motor action is extremely variable (Gur et al.,
1997; Lee et al., 1998; Shadlen and Newsome, 1998; Tolhurst
et al., 1983; Truccolo et al., 2002; Vogels et al., 1989). One

  

Source: Andrzejak, Ralph Gregor - Departament de Tecnologia, Universitat Pompeu Fabra
Knuth, Kevin H. - Department of Physics, State University of New York at Albany

 

Collections: Computer Technologies and Information Sciences; Physics