Thomas S. McTavish
Affiliations: | Neurobiology | Yale University School of Medicine, New Haven, CT |
Area:
Computational neuroscienceGoogle:
"Thomas McTavish"Mean distance: 13.76 (cluster 11) | S | N | B | C | P |
Parents
Sign in to add mentor| Diego Restrepo | grad student | 2005-2009 | |
| Nathan Schoppa | grad student | 2005-2009 | |
| Gordon M. Shepherd | post-doc | 2009- |
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Publications
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| Pouille F, McTavish TS, Hunter LE, et al. (2017) Intraglomerular gap junctions enhance interglomerular synchrony in a sparsely-connected olfactory bulb network. The Journal of Physiology |
| 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 |
| Rebello MR, McTavish TS, Willhite DC, et al. (2014) Perception of odors linked to precise timing in the olfactory system. Plos Biology. 12: e1002021 |
| Yu Y, McTavish TS, Hines ML, et al. (2013) Sparse distributed representation of odors in a large-scale olfactory bulb circuit. Plos Computational Biology. 9: e1003014 |
| Kim DH, Chang AY, McTavish TS, et al. (2012) Center-surround vs. distance-independent lateral connectivity in the olfactory bulb. Frontiers in Neural Circuits. 6: 34 |
| McTavish TS, Migliore M, Shepherd GM, et al. (2012) Mitral cell spike synchrony modulated by dendrodendritic synapse location. Frontiers in Computational Neuroscience. 6: 3 |
| Migliore M, Hines ML, McTavish TS, et al. (2010) Functional roles of distributed synaptic clusters in the mitral-granule cell network of the olfactory bulb. Frontiers in Integrative Neuroscience. 4: 122 |
| Restrepo D, Doucette W, Whitesell JD, et al. (2009) From the top down: flexible reading of a fragmented odor map. Trends in Neurosciences. 32: 525-31 |
| McTavish TS, Hunter LE, Restrepo D. (2009) Multicompartment leaky integrate and fire neuron modeling with multiexponentials Bmc Neuroscience. 10: 277 |
| Mctavish T, Restrepo D. (2008) Evolving solutions: The genetic algorithm and evolution strategies for finding optimal parameters Studies in Computational Intelligence. 122: 55-78 |