Alec Sheffield
About
Biography
Alec Sheffield is a 3rd year graduate student in the labs of Monika Jadi and Anirvan Nandy. During his undergraduate, Alec worked in the labs of Emiliano Santarnecchi at Harvard Medical School and Flavio Frohlich at UNC Chapel Hill studying the effects of non-invasive brain stimulation in humans. Prior to starting graduate school, Alec worked as a research assistant in Gloria Choi's lab at MIT, studying mechanisms of innate social behaviors in rodents.
Currently, Alec is investigating predictive coding in the ventral stream of marmosets. Predictive coding is an algorithm which holds promise as a universal theory of cortical function, explaining the brain's tremendous capacity for learning and model building. Alec is also developing machine-learning methods for inferring causal structure from data using Dynamic Bayesian Networks. Ultimately, Alec is interested in using principles of computational neuroscience to develop better artificial intelligence algorithms and build biologically-inspired brain computer interfaces.
Education & Training
- BA
- Colorado College, Neuroscience (2018)
Research
Publications
2021
An amygdala circuit that suppresses social engagement.
Kwon JT, Ryu C, Lee H, Sheffield A, Fan J, Cho DH, Bigler S, Sullivan HA, Choe HK, Wickersham IR, Heiman M, Choi GB. An amygdala circuit that suppresses social engagement. Nature 2021, 593: 114-118. PMID: 33790466, PMCID: PMC9251649, DOI: 10.1038/s41586-021-03413-6.Peer-Reviewed Original Research
2019
Modulating neural oscillations by transcranial static magnetic field stimulation of the dorsolateral prefrontal cortex: A crossover, double-blind, sham-controlled pilot study.
Sheffield A, Ahn S, Alagapan S, Fröhlich F. Modulating neural oscillations by transcranial static magnetic field stimulation of the dorsolateral prefrontal cortex: A crossover, double-blind, sham-controlled pilot study. The European Journal Of Neuroscience 2019, 49: 250-262. PMID: 30380175, PMCID: PMC6347507, DOI: 10.1111/ejn.14232.Peer-Reviewed Original Research