4497759
doi
10.5281/zenodo.4497759
oai:zenodo.org:4497759
user-in-fet
user-eu
Veronica A. Alvarez
Laboratory on Neurobiology of Compulsive Behaviors, National Institute on Alcohol Abuse and Alcoholism, NIH. Bethesda, MD
Asohan Amarasingham
Department of Mathematics, City College of New York; Departments of Biology, Computer Science, and Psychology, The Graduate Center; City University of New York
Habiba Azab
Department of Neuroscience, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN
Richard C. Gerkin
School of Life Sciences, Arizona State University, Tempe, AZ
Andrea Hasenstaub
Department of Otolaryngology - Head and Neck Surgery, University of California San Francisco, San Francisco, CA
Ramakrishnan Lyer
Allen Institute for Brain Science, Seattle, WA
Renaud B. Jolivet
Department of Nuclear and Corpuscular Physics, University of Geneva, Geneva, Switzerland
Sarah Marzen
W. M. Keck Science Department, Pitzer, Scripps, and Claremont McKenna Colleges, Claremont, CA
Joseph D. Monaco
Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD
Astrid A. Prinz
Department of Biology, Emory University, Atlanta, GA
Salma Quraishi
Department of Biology, University of Texas at San Antonio, San Antonio, TX
Fidel Santamaria
Department of Biology, University of Texas at San Antonio, San Antonio, TX
Sabyasachi Shivkumar
Brain and Cognitive Sciences, University of Rochester, Rochester, New York, United States of America
Matthew F. Singh
Department of Psychological & Brain Sciences, Department of Electrical & Systems Engineering, Washington University in St. Louis, St. Louis, MO
David B. Stockton
Department of Biomedical Engineering, The University of Texas at San Antonio, San Antonio, TX, 78249, USA
Roger Traub
IBM T.J. Watson Research Center, AI Foundations, Yorktown Heights, NY
Horacio G. Rotstein
Federated Department of Biological Sciences, New Jersey Institute of Technology and Rutgers University & Institute for Brain and Neuroscience Research, New Jersey Institute of Technology, Newark, NJ
Farzan Nadim
Federated Department of Biological Sciences, New Jersey Institute of Technology and Rutgers University & Institute for Brain and Neuroscience Research, New Jersey Institute of Technology, Newark, NJ
A. David Redish
Department of Neuroscience, University of Minnesota, Minneapolis MN
On the role of theory and modeling in neuroscience
Daniel Levenstein
NYU Center for Neural Science; NYU Neuroscience Institute. New York, NY
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
<p>Abstract: In recent years, the field of neuroscience has gone through rapid experimental advances and extensive use of quantitative and computational methods. This accelerating growth has created a need for methodological analysis of the role of theory and the modeling approaches currently used in this field. Toward that end, we start from the general view that the primary role of science is to solve empirical problems, and that it does so by developing theories that can account for phenomena within their domain of application. We propose a commonly-used set of terms - descriptive, mechanistic, and normative - as methodological designations that refer to the kind of problem a theory is intended to solve. Further, we find that models of each kind play distinct roles in defining and bridging the multiple levels of abstraction necessary to account for any neuroscientific phenomenon. We then discuss how models play an important role to connect theory and experiment, and note the importance of well-defined translation functions between them. Furthermore, we describe how models themselves can be used as a form of experiment to test and develop theories. This report is the summary of a discussion initiated at the conference Present and Future Theoretical Frameworks in Neuroscience, which we hope will contribute to a much-needed discussion in the neuroscientific community.</p>
deposited on: https://arxiv.org/abs/2003.13825
Zenodo
2020-04-01
info:eu-repo/semantics/preprint
4497758
user-in-fet
user-eu
award_title=Ionic Neuromodulation For Epilepsy Treatment; award_number=862882; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/862882; funder_id=00k4n6c32; funder_name=European Commission;
1612883912.965539
354809
md5:c45eae1f5604015101a432fc7b223586
https://zenodo.org/records/4497759/files/2003.13825.pdf
public
10.5281/zenodo.4497758
isVersionOf
doi