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2015 ; 11
(12
): e1004622
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Tamping Ramping: Algorithmic, Implementational, and Computational Explanations of
Phasic Dopamine Signals in the Accumbens
#MMPMID26699940
Lloyd K
; Dayan P
PLoS Comput Biol
2015[Dec]; 11
(12
): e1004622
PMID26699940
show ga
Substantial evidence suggests that the phasic activity of dopamine neurons
represents reinforcement learning's temporal difference prediction error.
However, recent reports of ramp-like increases in dopamine concentration in the
striatum when animals are about to act, or are about to reach rewards, appear to
pose a challenge to established thinking. This is because the implied activity is
persistently predictable by preceding stimuli, and so cannot arise as this sort
of prediction error. Here, we explore three possible accounts of such ramping
signals: (a) the resolution of uncertainty about the timing of action; (b) the
direct influence of dopamine over mechanisms associated with making choices; and
(c) a new model of discounted vigour. Collectively, these suggest that dopamine
ramps may be explained, with only minor disturbance, by standard theoretical
ideas, though urgent questions remain regarding their proximal cause. We suggest
experimental approaches to disentangling which of the proposed mechanisms are
responsible for dopamine ramps.