Steven M. Phelps, PhD
Affiliations: | Integrative Biology | University of Texas at Austin, Austin, Texas, U.S.A. |
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"Steven Phelps"Mean distance: 15.7 (cluster 19) | S | N | B | C | P |
Children
Sign in to add traineeAlejandro Berrio | grad student | 2009-2016 | UT Austin |
Erin M Giglio | grad student | 2012-2021 | UT Austin |
Alexander G. Ophir | post-doc | UF Gainesville | |
Morgan L. Gustison | post-doc | 2018- | UT Austin and NeuroTexas Institute at St. David's Healthcare |
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Publications
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Gustison ML, Castañeda RM, Osten P, et al. (2023) Sexual coordination in a whole-brain map of prairie-vole pair-bonding. Biorxiv : the Preprint Server For Biology |
Gustison ML, Phelps SM. (2022) Individual differences in social attachment: A multi-disciplinary perspective. Genes, Brain, and Behavior |
Tripp JA, Berrio A, McGraw LA, et al. (2021) Comparative neurotranscriptomics reveal widespread species differences associated with bonding. Bmc Genomics. 22: 399 |
Zheng DJ, Singh A, Phelps SM. (2021) Conservation and dimorphism in androgen receptor distribution in Alston's singing mouse (Scotinomys teguina). The Journal of Comparative Neurology |
Phelps SM, Gustison ML. (2020) The transient joys of others-neural ensembles encode social approach in bonded voles. Proceedings of the National Academy of Sciences of the United States of America |
Giglio EM, Phelps SM. (2020) Leptin regulates song effort in Neotropical singing mice (Scotinomys teguina) Animal Behaviour. 167: 209-219 |
Okobi DE, Banerjee A, Matheson AMM, et al. (2019) Motor cortical control of vocal interaction in neotropical singing mice. Science (New York, N.Y.). 363: 983-988 |
Young RL, Ferkin MH, Ockendon-Powell NF, et al. (2019) Conserved transcriptomic profiles underpin monogamy across vertebrates. Proceedings of the National Academy of Sciences of the United States of America |
Burkhard TT, Westwick RR, Phelps SM. (2018) Adiposity signals predict vocal effort in Alston's singing mice. Proceedings. Biological Sciences. 285 |
Bengston SE, Dahan RA, Donaldson Z, et al. (2018) Genomic tools for behavioural ecologists to understand repeatable individual differences in behaviour. Nature Ecology & Evolution |