Thomas Marston Morse, Ph D

Neurobiology Yale University, New Haven, CT 
Computational Neuroscience, Neuroinformatics
"Thomas Marston Morse"
Mean distance: 13.24 (cluster 6)


Sign in to add mentor
Shawn R. Lockery post-doc 1996-2000 University of Oregon
Michael Hines research scientist 2000- Yale
Gordon M. Shepherd research scientist 2000- Yale
 (Current Lab Member, Research Sci)
Michael James Higley research scientist 2019- Yale School of Medicine
BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

McDougal RA, Dalal I, Morse TM, et al. (2018) Automated Metadata Suggestion During Repository Submission. Neuroinformatics
Short SM, Morse TM, McTavish TS, et al. (2016) Respiration Gates Sensory Input Responses in the Mitral Cell Layer of the Olfactory Bulb. Plos One. 11: e0168356
McDougal RA, Morse TM, Carnevale T, et al. (2016) Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience. Journal of Computational Neuroscience
McDougal RA, Morse TM, Hines ML, et al. (2015) ModelView for ModelDB: Online Presentation of Model Structure. Neuroinformatics
Chiu CQ, Lur G, Morse TM, et al. (2013) Compartmentalization of GABAergic inhibition by dendritic spines. Science (New York, N.Y.). 340: 759-62
Morse TM, Carnevale NT, Mutalik PG, et al. (2010) Abnormal Excitability of Oblique Dendrites Implicated in Early Alzheimer's: A Computational Study. Frontiers in Neural Circuits. 4
Gleeson P, Crook S, Cannon RC, et al. (2010) NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail. Plos Computational Biology. 6: e1000815
Samwald M, Lim E, Masiar P, et al. (2009) Entrez Neuron RDFa: a pragmatic semantic web application for data integration in neuroscience research. Studies in Health Technology and Informatics. 150: 317-21
Cheung KH, Lim E, Samwald M, et al. (2009) Approaches to neuroscience data integration. Briefings in Bioinformatics. 10: 345-53
Günay C, Smolinski TG, Lytton WW, et al. (2008) Computational intelligence in electrophysiology: Trends and open problems Studies in Computational Intelligence. 122: 325-359
See more...