[preprint]Hello! am a Postdoc in Sam Gershman's lab at Harvard. I did my PhD work with Michael Frank at Brown University.  

My research is focused on human decision making, learning and generalization. My work draws heavily from statistics and machine learning, particularly reinforcement learning and non-parametric Bayesian methods as inspiration for computational descriptions of learning. I am deeply interested in how people do what they do and how we can describe behavior in multiple ways, either in mechanistic terms of interacting groups of cells or more broadly through the language of statistics.

Journal Articles & Preprints

  • Franklin NT, Frank MJ (2018). Compositional clustering in task structure learning. PLOS Comp Bio [paper, code]
  • Franklin NT, Frank MJ (2015). A cholinergic feedback circuit to regulate striatal population uncertainty and optimize reinforcement learning. eLife [papercode]
  • Teslovich T, Mulder M, Franklin NT, Ruberry EJ,  Millner A, Somerville LH, Simen P, Durston S, Casey BJ (2014).  Adolescents let sufficient evidence accumulate before making a decision when large incentives are at stake. Developmental Science
  • Casey BJ, Somerville LH, Gotlib IH, Ayduk O, Franklin NT, Askren MK, Jonides J, Berman MG, Wilson NL, Teslovich T, Glover G, Zayas V, Mischel W, & Shoda Y (2011) Behavioral and neural correlates of delay of gratification 40 years later. PNAS

nfranklin [@] fas.harvard.edu