nathaniel daw
photo courtesy of adam fields	affiliation:	assistant professor neural science psychology center for neuroeconomics affiliate, computer science new york university
	email:	daw [at] cns . nyu . edu
	office:	888a meyer hall 212-998-2104
	address:	center for neural science new york university 4 washington place, room 809 new york ny 10003

journal articles (full cv here)	generalization of value in reinforcement learning by humans ge wimmer / nd daw / d shohamy european journal of neuroscience (in press)
	dissociating hippocampal and striatal contributions to sequential prediction learning am bornstein / nd daw european journal of neuroscience (in press)
	grid cells, place cells, and geodesic generalization for spatial reinforcement learning n gustafson / nd daw plos computational biology 7:e1002235 (2011)
	differential roles of human striatum and amygdala in associative learning j li / d schiller / g schoenbaum / ea phelps / nd daw nature neuroscience 14:1250-1252 (2011)
	signals in human striatum are appropriate for policy update rather than value prediction j li / nd daw journal of neuroscience 31:5504-11 (2011)
	neural correlates of forward planning in a spatial decision task in humans da simon / nd daw journal of neuroscience 31:5526-39 (2011)
	model-based influences on humans' choices and striatal prediction errors nd daw / sj gershman / b seymour / p dayan / rj dolan neuron 69:1204-1215 (2011)
	serotonin and dopamine: unifying affective, activational, and decision functions r cools / k nakamura / nd daw neuropsychopharmacology 36:98-113 (2011)
	tonic dopamine modulates exploitation of reward learning ja beeler / nd daw / crm frazier / x zhuang frontiers in behavioral neuroscience 4:170 (2010)
	states vs rewards: dissociable neural prediction error signals underlying mdoel-based and model-free reinforcement learning j glascher / nd daw / p dayan / jp o'doherty neuron 66: 585-595 (2010)
	selective impairment of prediction error signaling in human dorsolateral but not ventral striatum in parkinson's disease patients: evidence from a model-based fmri study t schonberg / jp o'doherty / d joel / r inzelberg / y segev / nd daw neuroimage 49:772-781 (2010)
	human reinforcement learning subdivides structured action spaces by learning effector-specific values sj gershman / b pesaran / nd daw journal of neuroscience 29:13524-31 (2009)
	reward learning and the novelty seeking personality: a between and within-subjects study of the effects of dopamine agonists on young parkinson's patients n bodi / s keri / h nagi / a moustafa / c myers / nd daw / g dibo / a takats / d bereczi / ma gluck brain 132:2385-2395 (2009)
	decision theory, reinforcement learning, and the brain p dayan / nd daw cognitive affective and behavioral neuroscience 8:429-453 (2008)
	striatal activity underlies novelty-based choice in humans bc wittmann / nd daw / b seymour / rj dolan neuron 58:967-973 (2008)
	a dual role for prediction error in associative learning he den ouden / kj friston / nd daw / ar mcintosh / ke stephan cerebral cortex 19:1175-1185 (2009)
	reinforcement learning signals in the human striatum distinguish learners from non-learners during reward-based decision making supplemental material t schonberg / nd daw / d joel / jp o'doherty journal of neuroscience 27:12860-12867 (2007)
	differential encoding of losses and gains in the human striatum b seymour / nd daw / p dayan / t singer / r dolan journal of neuroscience: 27:4826-4831 (2007)
	tonic dopamine: opportunity costs and the control of response vigor y niv / nd daw / d joel / p dayan psychopharmacology 191:507-520 (2007)
	cortical substrates for exploratory decisions in humans supplemental material / news and views (d lee) nd daw / jp o'doherty / b seymour / p dayan / rj dolan nature 441:876-879 (2006)
	the misbehavior of value and the discipline of the will p dayan / y niv / b seymour / nd daw neural networks 19:1153-1160 (2006)
	bayesian theories of conditioning in a changing world ac courville / nd daw / ds touretzky trends in cognitive sciences 10:294-300 (2006)
	representation and timing in theories of the dopamine system nd daw / ac courville / ds touretzky neural computation 18:1637-1677 (2006)
	uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control supplemental material nd daw / y niv / p dayan nature neuroscience 8:1704-1711 (2005)
	a computational substrate for incentive salience sm mcclure / nd daw / pr montague trends in neurosciences 26:423-428 (2003)
	long-term reward prediction in TD models of the dopamine system nd daw / ds touretzky neural computation 14:2567-2583 (2002)
	opponent interactions between serotonin and dopamine nd daw / s kakade / p dayan neural networks 15:603-616 (2002)
	local analysis of behavior in the adjusting delay task for assessing choice of delayed reinforcement r cardinal / nd daw / tw robbins / bj everitt neural networks 15:617-634 (2002)
conference articles	environmental statistics and the trade-off between model-based and TD learning in humans da simon / nd daw nips 24 (2011)
	the pigeon as particle filter nd daw / ac courville nips 20 (2007)
	how fast to work: response vigor, motivation and tonic dopamine y niv / nd daw / p dayan nips 18 (2005)
	similarity and discrimination in classical conditioning: a latent variable account ac courville / nd daw / ds touretzky nips 17:313-320 (2004)
	model uncertainty in classical conditioning ac courville / nd daw / gj gordon / ds touretzky nips 16:977-984 (2003)
	timing and partial observability in the dopamine system nd daw / ac courville / ds touretzky nips 15:99-106 (2002)
	dopamine and inference about timing nd daw / ac courville / ds touretzky second icdl 271-276 (2002)
	combining configural and td learning on a robot ds touretzky / nd daw / ej tira-thompson second icdl 271-276 (2002)
	operant behavior suggests attentional gating of dopamine system inputs nd daw / ds touretzky neurocomputing 38-40:1161-1167 (2001)
	behavioral results suggest an average reward TD model of dopamine function nd daw / ds touretzky neurocomputing 32:679-684 (2000)
reviews; commentary; chapters; miscellany	surprise! neural correlates of pearce-hall and rescorla-wagner coexist within the brain mr roesch / gr esber / j li / nd daw /g schoenbaum european journal of neuroscience (in press)
	perception action and utility: the tangled skein sj gershman / nd daw chapter for "principles of brain dynamics" (in press)
	model-based reinforcement learning as cognitive search: neurocomputational theories nd daw chapter in cognitive search: evolution algorithms and the brain (in press)
	dual-system learning models and drugs of abuse da simon / nd daw chapter in computational neuroscience of addiction (2011)
	multiplicity of control in the basal ganglia: computational roles of striatal subregions ab bornstein / nd daw current opinion in neurobiology, 21:374-380 (2011)
	a closer look at choice sm constantino / nd daw nature neuroscience (news and views for krajbich et al. 2010) 13:1153-1154 (2010)
	trial by trial data analysis using computational models nd daw chapter for "affect, learning, and decision making: attention and performance xxiii"
	the cognitive neuroscience of motivation and learning nd daw / ds shohamy social cognition 26:593-620 (2008)
	multiple forms of value learning and the function of dopamine bw balleine / nd daw / jp o'doherty chapter for "neuroeconomics: decision making and the brain," glimcher / camerer / fehr / poldrack, eds., academic press (2008)
	dopamine: at the intersection of reward and action nd daw nature neuroscience (news and views for roesch et al 2007) 10:1505-1507 (2007)
	semi-rational models: the case of trial order nd daw / ac courville / p dayan chapter for "the probabilistic mind," chater & oaksford, eds., oxford (2008)
	choice values y niv / nd daw / p dayan nature neuroscience (news and views for morris et al 2006) 9:987-988 (2006)
	the computational neurobiology of learning and reward nd daw / k doya current opinion in neurobiology 16:199-204 (2006)
	matchmaking nd daw / p dayan science (perspective for sugrue et al 2004) 304:1753-1754 (2004)
	theoretical and computational neuroscience: learning, action, inference and neuromodulation p dayan / nd daw / y niv chapter for "new encyclopedia of neuroscience," l squire et al, eds., elsevier (in press)
	actions, values, policies and the basal ganglia nd daw / y niv / p dayan chapter for "recent breakthroughts in basal ganglia research," e bezard, ed., nova science publishers, pp. 111-130 (2006)
	reinforcement learning models of the dopamine system and their behavioral implications nd daw phd thesis, cmu dept of computer science (2003)