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)