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Bridging the cognitive-cellular neuroscience gap empirically: a study combining physiology, modelling and fMRI 

Authors: John Bickle a;  Malcolm Avison b;  Vincent Schmithorst c;  Anthony Landreth d; Scott Holland e
Affiliations:   a Department of Philosophy and Neuroscience Graduate Program, University of Cincinnati, Cincinnati, OH 45221-0374, USA.
b Departments of Neurology and Molecular and Cellular Biochemistry, University of Kentucky Medical Center, Lexington, KY, USA.
c Imaging Research Center, Childrens Hospital Medical Center, Cincinnati, OH, USA.
d Department of Philosophy, University of Cincinnati, Cincinnati, OH, USA.
e Scientific Director, Imaging Research Center, Childrens Hospital Medical Center, Cincinnati, OH, and Departments of Radiology and Pediatrics and Neuroscience Graduate Program, University of Cincinnati College of Medicine, USA.
DOI: 10.1080/0952813021000055225
Publication Frequency: 4 issues per year
Published in: journal Journal of Experimental & Theoretical Artificial Intelligence, Volume 15, Issue 2 2003 , pages 161 - 175
Formats available: PDF (English)
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Abstract

Familiar questions about the relationship across levels separating psychology from the neurosciences have recently been mirrored in questions about the relationship across levels within the neurosciences themselves. How does 'cognitive neuroscience' relate to the discipline's current cellular and molecular mainstream? Here we adopt an empirical approach toward these 'levels' questions by describing our transdisciplinary research that incorporates findings from cellular physiology, neurocomputational modelling, and functional neuroimaging. Higher level investigations serve as--but only as-- essential heuristics for discovering lower level mechanisms. This case study serves as an exemplar for transdisciplinary research in current and foreseeable neuroscience, and its lessons concerning the role of higher level investigations generalize to the more familiar 'levels' questions spanning cognitive science and the neurosciences.
Keywords: Transdisciplinary Research; Saccade Sequences; Frontal Eye Fields (FEFs); Frontal Working Memory Regions (FWMs); Neurocomputational Modelling; Blood Oxygenation Level-Dependent Functional Magnetic Resonance Imaging (BOLD-tMRI); Autonomy; Heuristic
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