Open in TheBrain

Amitai Shenhav

<p class="MsoNormal" >SHENHAV, Amitai, <b>Value Choice Mechanisms</b>, Princeton, Jan 23, 2015</p>

<p>

I am 5 minutes late.&nbsp; This a Stfd FriSem in Jordan Hall Psych in room 050.

Amitai is a post-doc at <b>Princeton</b>.&nbsp; <b>Amitai Shenhav</b>;

(this is a superb and important talk and the room is crammed to the gills: SRO)

His Abstract:

Choices abound in our daily life. Two largely separate bodies of research offer different insight into the process by which we engage with these choices.

&nbsp;Research on goal-directed, value-based decision-making describes how we weigh the costs and benefits of our options, whereas research on cognitive control describes <b>how we exert the necessary cognitive effort</b> to overcome prepotent biases that interfere with the execution our choice (e.g., flankers directing us toward the incorrect response).

&nbsp;I will discuss recent and ongoing studies aimed at examining questions that arise at the intersection of these two fields.

&nbsp;First, I will describe two studies that explore the <b>cognitive effort costs</b>we associate with the act of making a choice: one study examines the neural circuits that drive simultaneously positive and aversive experiences of being offered multiple good options (e.g., <b>great graduate schools to attend</b>); the other study explores the costs of considering alternatives to our default option (i.e., the choice we are prepotently biased to make in a given situation).

Second, I will describe a recent theoretical framework and ongoing modeling work that seeks to address how we weigh the costs and benefits of control itself (i.e., <b>how much cognitive effort is worth exerting</b>?).

&nbsp;Finally, if time allows I will briefly describe an ongoing set of projects aimed at exploring the dynamics that occur when<b> prepotent biases/impulses toward a tempting option </b>or stimulus dimension<b> interact with careful cost-benefit decision-making</b>

&nbsp;(e.g., <b>weighing the healthiness and tastiness of one’s food</b> options).</p>

<p>

he reports initially&nbsp; on <b>Shenhav and Buckner PNAS 2014</b>.</p>

<p>

S = subject given choice of high value vs low value&nbsp; products.</p>

<p>

most anxiety provoking are the dfficult choices, ie low value&nbsp; vs low and high vs high.</p>

<p>

high value product =&nbsp; iPOD and&nbsp; low value&nbsp; =&nbsp; $15 lamp&nbsp; eg.</p>

<p>

<b>conflict&nbsp; = value of outcome&nbsp; * intensity of the mental competition = choice anxiety</b>..</p>

<p>

postive affect = value of best options.</p>

<p>

see <b>festinger in 1957</b>&nbsp; eg.</p>

<p>

he discusses dual valuation circuits...</p>

<p>

see Haber and&nbsp; Knutson in 2010.</p>

<p>

he shows <b>Medial PFC</b></p>

<p>

the <b>dorsal areas of medial PFC are involved in response control and evaluation</b> vs</p>

<p>

<b>ventral regions&nbsp;&nbsp; which are involved with stim evaluation</b> ..

and same layout goes for the <b>striatum</b>..

dACC = dorsal&nbsp; Anterior Cingulate Cortex.</p>

<p>

that is, <b>ventral&nbsp; ACC and vental striaturm are also involved with&nbsp; positive. affect</b></p>

<p>

but&nbsp; <b>dorsal ACC and dorsal striatum are involved with choice anxiety

&nbsp;</b>&nbsp;and response evaluation...</p>

<p>

<b>dorsal&nbsp; ACC... involved in cost of&nbsp; resolving the conflict</b>.</p>

<p>

he seeks to evaluate the <b>role of dACC and conflict during the choice...</b></p>

<p>

<b>the task is stay or switch</b>&nbsp; ... <b>if S given choice of switching products</b>

&nbsp;once he is out of the scanner.</p>

<p>

high high might be&nbsp; <b>digital camera vs&nbsp; video camcorder</b>...</p>

<p>

see <b>shenhav and buckner PNAS 2014</b>.</p>

<p>

he shows that dorsal ACC is activated longer&nbsp; (abt&nbsp; 20 seconds) vs&nbsp; only 10 seconds

in dorsal&nbsp; ACC&nbsp; in those Subjects that decided to switch products.

(ie, they mull it over longer)</p>

<p>

(he shows a slide labeled&nbsp; dACC and conflict after the choice?)</p>

<p>

he also shows areas that are evoked in dACC&nbsp; in whch

there is overlap and some&nbsp; non overlap btwn

choice reversal areas&nbsp; (more posterior in dACC) and choice anxiety&nbsp; (more anterior/rostral)</p>

<p>

<b>part 1:&nbsp; the cost of having multiple good options</b></p>

<p>

a) why the dueling affective responses?

and now b)&nbsp; why (if there is conflict) are we still drawn to these difficult choices.</p>

<p>

is there some implicit decision process that is on-going in ventral ACC.</p>

<p>

but how abt just a pavlovian&nbsp; process that is more automatic.</p>

<p>

as in Grabenhorst and rolls in 2011.</p>

<p>

<b>ie&nbsp; is this value comparison&nbsp; (a voluntary process)</b>

&nbsp;or simply&nbsp; an <b>automatic, pavlivian response</b>.</p>

<p>

ie&nbsp; are these different valuation networks?</p>

<p>

study 2:&nbsp;&nbsp; he puts in a cue to indicate to S&nbsp; whether upcoming trial is low-low,

&nbsp;low-high or high-high.</p>

<p>

he shows&nbsp; that PCC = posterior Cingul. Cortex&nbsp; lights up at time of pre-choice cue.</p>

<p>

low = desk lamp&nbsp; vs&nbsp; water bottle</p>

<p>

low-high might be sodoku game vs&nbsp; iPOD shuffle</p>

<p>

high-high =&nbsp;&nbsp; digital camera vs camcorder.</p>

<p>

actual comparison might be taking place in <b>ventro-medial&nbsp; PFC</b>...</p>

<p>

blue regions on the medial surface include&nbsp; <b>PCC&nbsp; (which is part of DMN network)</b></p>

<p>

one system&nbsp; drives us to want as many options as possible ; the other system

&nbsp; drives the conflict involved in choosing among them.</p>

<p>

Q: how abt&nbsp; choosing among multiple bad choices.</p>

<p>

how abt conflict driven choice costs?</p>

<p>

Q&nbsp; abt&nbsp; opportunity costs...</p>

<p>

he addressed imagined losses...</p>

<p>

(he mentions&nbsp; the fact that&nbsp; we avoid losses more than we seek = gains)</p>

<p>

Herb C:&nbsp; refers to cog dissonance literature... we perseverate...&nbsp;

did I really make the right choice? we continue to mull it over and this

results in vacillation.</p>

<p>

people usually stay more than they switch...</p>

<p>

is it&nbsp; reducing cog dissonance or

&nbsp;is it that&nbsp; people greatly prefer the initial choice they made.</p>

<p>

*</p>

<p>

he continues on the topic of choice conflict and dACC.</p>

<p>

<b>perhaps&nbsp; dACC&nbsp; guides foraging decision</b>... ie do we choose now or

&nbsp;go to a new patch of&nbsp; forest to forage.</p>

<p>

(foraging in the modern era = going to a website other than Amazon to shop, eg)

or... in the political domain: do we examine a new challenger or just

vote for the&nbsp; incumbent&nbsp; politician...

&nbsp;

there should be increasing difficulty as value of the challenger increases...</p>

<p>

Kolling... Rushworth&nbsp; in Science: Neural Mechs of Foraging...</p>

<p>

ia v influential paper.</p>

<p>

how valuable are other choices by comparison to the current choice...</p>

<p>

ie&nbsp; we evaluate something better vs current task...</p>

<p>

ie costs vs&nbsp; opportunities...</p>

<p>

(here he continues to try to explain what is going on in dACC)</p>

<p>

foraging task...</p>

<p>

this Kolling Science paper was in&nbsp; 2012.</p>

<p>

another expt of his:

&nbsp;

in stage 1:&nbsp; S is offered 5 points&nbsp; vs 8 points</p>

<p>

but also is shown a foraging set:

ie, if instead of either of these you decide to forage: here are the possibilies

but note that foraging costs them one point</p>

<p>

say&nbsp; forage set is 5,8 12, 7, 2, 11</p>

<p>

then&nbsp; at stge 2&nbsp;&nbsp; they see the probabilities of their actually getting those points...

(eg&nbsp; 50% prob of getting 8 points&nbsp; vs&nbsp; 80% of getting 5 points)</p>

<p>

so, S could forage indefinitely...</p>

<p>

but their bias is to move to&nbsp; forward to stage 2.</p>

<p>

he shows other studies that confirm his finding...</p>

<p>

original&nbsp; study showed</p>

<p>

<b>1)&nbsp;&nbsp; subjects are biased against foraging...</b></p>

<p>

but is the zero point really the best&nbsp; cut point&nbsp; where the cross over of the

decision to accept the choice or forage actually&nbsp; occurs?.</p>

<p>

ex:suppose incumbent and challenger&nbsp; both offer you a tax cut of 6.5%</p>

<p>

that&nbsp; could be the level of max difficulty in deciding between them but say that actually

&nbsp;

(because of aversion to foraging)...&nbsp;&nbsp; the challenger might need to to offer&nbsp; a 10% tax cut&nbsp; for you to consider switching.</p>

<p>

is,&nbsp; this is&nbsp; something over and above the&nbsp; -1&nbsp; cost of foraging...</p>

<p>

he considers a

drift diffusion model...&nbsp; a la Ratcliff and Krajbich in 2010.</p>

<p>

the result is that&nbsp; foraging actually costs more than just -1.</p>

<p>

dACC&nbsp; is better explained by the costs and demands of choosing&nbsp; vs the foraging&nbsp; value.</p>

<p>

best time to switch&nbsp; is during the cross over of value.</p>

<p>

the curse of opportunity...

eg considering a better hairstyle or new career...</p>

<p>

multiple neural mechs of decision making and their competition

&nbsp;under changing risk pressure...</p>

<p>

and see neural mechs of foraging...&nbsp; he shows 3 paper titles...</p>

<p>

</p>

<p>

on to <b>part 3:&nbsp; the value of control</b>..</p>

<p>

&nbsp;

dACC is assoc with many processes in the literature:&nbsp; task diffic, errors, adaptation, choice effort, punishment, reward, motivation, action selection, surprise...

so, what is its actual role:</p>

<p>

consider a version of the Stroop task</p>

<p>

he shows a model of pathways involved</p>

<p>

dACC&nbsp; decides how much control is required&nbsp; to override&nbsp; saying RED

&nbsp;and&nbsp; it evokes lat PFC to recruit more effortful&nbsp; choice.</p>

<p>

but...&nbsp; is the demanded control worth exerting....</p>

<p>

the assessment of the payoffs are obv important...</p>

<p>

a normative acct of control evaluation</p>

<p>

he shows giant&nbsp; word GREEN (in red)</p>

<p>

in parallel you eval&nbsp; control costs...and how much control to exert...primary task</p>

<p>

he shows a model that bridges btwn cog control literature and decision and eval literature.</p>

<p>

EVC = expected&nbsp; value of control&nbsp; ...

looks at incr payoff&nbsp; related to incr control...</p>

<p>

ie depends on incentives for exerting control and difficulty of choice.</p>

<p>

general comments on other work...</p>

<p>

interactions btwn goals and temptation:&nbsp; a multi-level approach&nbsp; (ongoing work)</p>

<p>

eg so I eat the healthy food (the apple) or the junkfood, the cake:&nbsp; apple vs cake...</p>

<p>

(short time scale)

he shows an experiment that he did that was a</p>

<p>

stroop type task...

S must alternatively attend to either the MOTION of the random dots or the COLOR of the dots.&nbsp; (with Newsome style random dots) and&nbsp; is given varying rewards for success...</p>

<p>

longer term dynamics in everyday life:&nbsp; do I&nbsp; write a my paper&nbsp; versus&nbsp; checking my email...</p>

<p>

an expt he did:

primary task... type a stream of random&nbsp; numbers&nbsp; but need to skip (say) the twos.

but S id occas.&nbsp; interrupted&nbsp; by&nbsp; temptation to read his facebook news feed.</p>

<p>

collabs:&nbsp; randy buckner&nbsp; for part 1...</p>

<p>

part 2 thru 4...

matt botvinick and jon cohen and mark&nbsp; straccia...</p>

<p>

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&nbsp;</p>

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