Neuronal selectivity for spatial positions of offers and choices in five reward regions

Strait, Caleb E.; Sleezer, Brianna J.; Blanchard, Tommy C.; Azab, Habiba; Castagno, Meghan D.; Hayden, Benjamin Y.

doi:10.1152/jn.00325.2015

Cited by 79 publications

(91 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some data from this task were previously published but the data presented here are all new (Azab & Hayden, 2017; Strait et al, 2016). Both subjects were familiar with the task and appeared to understand it (Figure 1B).…”

Section: Resultsmentioning

confidence: 97%

See 1 more Smart Citation

Opposing pupil responses to offered and anticipated reward values

et al. 2018

Self Cite

View full text Add to dashboard Cite

Previous studies have shown that the pupils dilate more in anticipation of larger rewards. This finding raises the possibility of a more general association between reward amount and pupil size. We tested this idea by characterizing macaque pupil responses to offered rewards during evaluation and comparison in a binary choice task. To control attention, we made use of a design in which offers occurred in sequence. By looking at pupil responses after choice but before reward, we confirmed the previously observed positive association between pupil size and anticipated reward values. Surprisingly, however, we find that pupil size is negatively correlated with the value of offered gambles before choice, during both evaluation and comparison stages of the task. These results demonstrate a functional distinction between offered and anticipated rewards, and present evidence against a narrow version of the simulation hypothesis, the idea that we represent offers by reactivating states associated with anticipating them. They also suggest that pupil size is correlated with relative, not absolute, values of offers, suggestive of an accept-reject model of comparison.

show abstract

Section: Resultsmentioning

confidence: 97%

“…Some of the data for dACC recordings were previously published (Azab & Hayden, 2017; Strait et al, 2016); all data and analyses presented here are new.…”

Section: Methodsmentioning

confidence: 99%

Opposing pupil responses to offered and anticipated reward values

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, some recent studies, using more sensitive tasks or analysis methods, support the idea that there is selectivity for spatial position throughout core reward regions (Roesch et al, 2006; Strait et al, 2016; Tsujimoto et al, 2009; Yoo et al, 2018). This evidence was previously somewhat limited because of the possible confounds with attention or object identity (Padoa-Schioppa and Cai, 2011).…”

Section: Keeping Irrelevant Information Aroundmentioning

confidence: 99%

Economic Choice as an Untangling of Options into Actions

Yoo

Hayden

2018

Neuron

115

123

View full text Add to dashboard Cite

SUMMARY We propose that economic choice can be understood as a gradual transformation from domain of options to one of the actions. We draw an analogy with the idea of untangling information in the form vision system and propose that form vision and economic choice may be two aspects of a larger process that sculpts actions based on sensory inputs. From this viewpoint, choice results from the accumulated effect of repetitions of simple computations. These may consist primarily of relative valuations (evaluations relative to the value of rejection, perhaps in a manner akin to divisive normalization) applied to individual offers. With regard to economic choice, cortical brain regions differ primarily in their position and in what information they prioritize, and do not—with a few exceptions—have categorically distinct roles. Each region’s specific contribution is determined largely by its inputs; thus, understanding connectivity is crucial for understanding choice. This view suggests that there is no single site of choice, that there is no meaningful distinction between pre- and post-decisionality, and that there is no explicit representation of value in the brain.

show abstract

“…Choice models must deal with a binding problem, which we will call the Selectivity Problem (Strait et al, 2016). If a neuron's firing rate signals the value of one option, how does the comparator know which option its firing rate refers to?…”

Section: The Selectivity Problemmentioning

confidence: 99%

“…Across many studies, it appears that neurons in several reward-sensitive regions compute and signal, through modulations in their firing rates, the values of available options in an evaluation stage. These value signals are then fed into a comparison stage (which may involve the same neurons and may occur simultaneously) that implements competition through mutual inhibition; this competition probably occurs in multiple areas simultaneously (Strait et al, 2016;Hunt et al, 2015).…”

mentioning

confidence: 99%