Lee M Harrison
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Explore the profile of Lee M Harrison including associated specialties, affiliations and a list of published articles.
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12
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905
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Recent Articles
1.
Time scales of representation in the human brain: weighing past information to predict future events
Harrison L, Bestmann S, Rosa M, Penny W, Green G
Front Hum Neurosci
. 2011 Jun;
5:37.
PMID: 21629858
The estimates that humans make of statistical dependencies in the environment and therefore their representation of uncertainty crucially depend on the integration of data over time. As such, the extent...
2.
Lee B, Wiringa A, Bailey R, Goyal V, Tsui B, Lewis G, et al.
Infect Control Hosp Epidemiol
. 2010 Oct;
31(11):1130-8.
PMID: 20923285
Background And Objective: Patients undergoing orthopedic surgery are susceptible to methicillin-resistant Staphylococcus aureus (MRSA) infections, which can result in increased morbidity, hospital lengths of stay, and medical costs. We sought...
3.
Mars R, Debener S, Gladwin T, Harrison L, Haggard P, Rothwell J, et al.
J Neurosci
. 2008 Nov;
28(47):12539-45.
PMID: 19020046
The P300 component of the human event-related brain potential has often been linked to the processing of rare, surprising events. However, the formal computational processes underlying the generation of the...
4.
Marreiros A, Kiebel S, Daunizeau J, Harrison L, Friston K
Neuroimage
. 2008 Nov;
44(3):701-14.
PMID: 19013532
In this paper, we describe a generic approach to modelling dynamics in neuronal populations. This approach models a full density on the states of neuronal populations but finesses this high-dimensional...
5.
Brodersen K, Penny W, Harrison L, Daunizeau J, Ruff C, Duzel E, et al.
Neural Netw
. 2008 Oct;
21(9):1247-60.
PMID: 18835129
The neurophysiology of eye movements has been studied extensively, and several computational models have been proposed for decision-making processes that underlie the generation of eye movements towards a visual stimulus...
6.
Stephan K, Kasper L, Harrison L, Daunizeau J, den Ouden H, Breakspear M, et al.
Neuroimage
. 2008 Jun;
42(2):649-62.
PMID: 18565765
Models of effective connectivity characterize the influence that neuronal populations exert over each other. Additionally, some approaches, for example Dynamic Causal Modelling (DCM) and variants of Structural Equation Modelling, describe...
7.
Bestmann S, Harrison L, Blankenburg F, Mars R, Haggard P, Friston K, et al.
Curr Biol
. 2008 May;
18(10):775-780.
PMID: 18485711
Actions are guided by prior sensory information [1-10], which is inherently uncertain. However, how the motor system is sculpted by trial-by-trial content of current sensory information remains largely unexplored. Previous...
8.
Stephan K, Harrison L, Kiebel S, David O, Penny W, Friston K
J Biosci
. 2007 Apr;
32(1):129-44.
PMID: 17426386
Complex processes resulting from interaction of multiple elements can rarely be understood by analytical scientific approaches alone; additional, mathematical models of system dynamics are required. This insight, which disciplines like...
9.
David O, Kiebel S, Harrison L, Mattout J, Kilner J, Friston K
Neuroimage
. 2006 Feb;
30(4):1255-72.
PMID: 16473023
Neuronally plausible, generative or forward models are essential for understanding how event-related fields (ERFs) and potentials (ERPs) are generated. In this paper, we present a new approach to modeling event-related...
10.
Stephan K, Harrison L, Penny W, Friston K
Curr Opin Neurobiol
. 2004 Oct;
14(5):629-35.
PMID: 15464897
Functional magnetic resonance imaging (fMRI) is used to investigate where the neural implementation of specific cognitive processes occurs. The standard approach uses linear convolution models that relate experimentally designed inputs,...