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S1 (FriAM 1-65) - The Psychonomic Society

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Saturday Afternoon Papers 230–236<br />

Kings College London, & BEATRIZ LUNA, University of Pittsburgh—<br />

Very little is known about how the ventral visual cortex becomes organized<br />

for processing faces or any other visual category. We investigated<br />

developmental changes in brain function that are related to<br />

children’s emerging abilities to represent and recognize faces, places,<br />

and objects. Our results suggest that children demonstrate adult-like<br />

organization in object- and place-related cortex, but no consistent<br />

face-selective activation in the right hemisphere until adolescence,<br />

and in the left hemisphere until adulthood. We will also report results<br />

from an ongoing study investigating developmental changes in the nature<br />

of the specific face-related computations in classical face regions<br />

using an fMRI adaptation paradigm. <strong>The</strong>se results suggest that the<br />

transition from childhood to early adolescence appears to represent an<br />

important transition in the development of face-specificity in the ventral<br />

visual cortex and shed light on models of functional brain development<br />

more broadly.<br />

4:30–4:45 (230)<br />

Extraordinary Face Recognition Ability. RICHARD RUSSELL,<br />

Harvard University, BRAD DUCHAINE, University College London,<br />

& KEN NAKAYAMA, Harvard University—Following media coverage<br />

of developmental prosopagnosia, several individuals contacted us<br />

to self-identify as having significantly better than ordinary face<br />

recognition ability. <strong>The</strong>y describe their face recognition abilities in<br />

strong terms, such as “. . . if I’ve seen your face before I will be able<br />

to recall it. It happens only with faces.” We have tested two of these<br />

individuals, confirming exceptional ability in each case. On two tests<br />

of face recognition they performed significantly better than control<br />

subjects, receiving the highest scores of any subject. On a visual memory<br />

task with abstract art images, they performed near the high end of<br />

the range of the control subject performance. On a face discrimination<br />

task with upright and inverted faces, these two individuals<br />

showed larger inversion effects than did control subjects, who in turn<br />

show larger inversion effects than did people with developmental<br />

prosopagnosia, suggesting a relation between face recognition ability<br />

and inversion effect magnitude.<br />

4:50–5:05 (231)<br />

Featural and Configural Properties in Face Perception: Comparing<br />

Apples and Oranges. JAMES W. TANAKA, University of Victoria,<br />

MARTHA KAISER, Rutgers University, & DANIEL N. BUB, University<br />

of Victoria—All faces are created equal in the sense that every<br />

face shares a common set of basic eyes, nose, mouth features that are<br />

arranged in a similar configuration. Successful individuation of a particular<br />

face must therefore depend on our ability to perceive subtle differences<br />

in featural and configural face properties. In this talk, I will<br />

present a psychophysical test that parametrically measures the perception<br />

of featural and configural information in faces and nonface<br />

objects presented in their upright and inverted orientations. I will<br />

show how this scale can be used to assess the recognition strategies<br />

of normal adults, patients with prosopagnosia, and children with<br />

autism spectrum disorder.<br />

5:10–5:25 (232)<br />

<strong>The</strong> Ability to Learn New Faces Peaks at Age 30. KEN NAKAYAMA,<br />

Harvard University, & LAURA T. GERMINE & BRAD DUCHAINE,<br />

University College London—Many studies have tracked the development<br />

of face recognition in childhood. No studies have traced the<br />

course of face learning ability from early-adolescence throughout the<br />

life span. Employing a Web-based variant of the Cambridge Face<br />

Memory Test (CFMT), we acquired data from over 22,000 volunteer<br />

subjects. Tracing performance year by year, from age 11 to 67, we<br />

show it rises steeply initially reaching a peak at age 30 and falling<br />

gradually thereafter. An earlier age peak for learning nonface objects<br />

is suggested by our within-category car recognition tests (N = 3,000)<br />

as well as published data on words and digits. While this late peak for<br />

faces is surprising, it is consistent with recent neuro-imaging studies<br />

showing the slower maturation of face specific areas in the brain as<br />

36<br />

well as with theoretical accounts requiring prolonged experience with<br />

faces for optimal performance.<br />

Development and Evolution of Cognition<br />

Regency DEFH, Saturday Afternoon, 3:50–5:30<br />

Chaired by Edward A. Wasserman, University of Iowa<br />

3:50–4:05 (233)<br />

How Infant Cognition and Infant Word Learning Interact.<br />

LESLIE B. COHEN, University of Texas, Austin—Based upon research<br />

conduced in our laboratory I will discuss three issues in the infant<br />

word learning literature that can benefit from an understanding<br />

of infant cognition. <strong>The</strong> first examines how adult social referencing<br />

factors influence the development of infant attention and word learning.<br />

<strong>The</strong> study shows separate influences of attention directing and<br />

referential cues. <strong>The</strong> second shows how the inclusion of a verbal label<br />

can influence infants’ organization of new categories. <strong>The</strong> use of one<br />

or two labels can determine whether one or two categories are formed.<br />

<strong>The</strong> third indicates how different laboratory procedures (novelty preference<br />

vs. intermodal preferential looking) can lead to very different<br />

results regarding infants’ attachment of labels to categories. Together<br />

these three lines of research highlight the importance of taking into<br />

account the interaction between infant cognition and infant word<br />

learning.<br />

4:10–4:25 (234)<br />

Action and the Discovering Abstract Descriptions of Object Shape.<br />

LINDA B. SMITH, Indiana University—It is commonplace to think<br />

of chairs as being all the same shape, chair shape. But rocking chairs,<br />

desk chairs, and over-stuffed chairs are only the same shape under<br />

some abstract description of object shape. Even more abstract descriptions<br />

relate the shapes of things that can be containers, or that can<br />

fit into narrow holes, or that can be used to reach and drag some distant<br />

object. This talk will present evidence of significant changes in<br />

children’s representation of object shape during the period of 18–24<br />

months, changes that appear tightly tied to action on and with objects.<br />

This is also a developmental period marked by the emergence of tool<br />

use, symbolic play, and the rapid acquisition of common noun<br />

categories.<br />

4:30–4:45 (235)<br />

A Vocabulary Test for Pigeons (Columba livia). EDWARD A.<br />

WASSERMAN, DANIEL I. BROOKS, OLGA F. LAZAREVA, &<br />

MICHELLE A. MINER, University of Iowa—Three pigeons successfully<br />

learned to name 8 distinctively different black-and-white photographs<br />

from each of 16 different basic-level categories by pecking<br />

one of 16 multicolor lexigrams. New categories and new lexigrams<br />

were progressively added to the pigeons’ training regimen in order to<br />

emulate children’s ever expanding verbal vocabularies. Pigeons’ naming<br />

behavior reliably transferred to 4 novel photographs from the different<br />

categories. Additional tests disclosed that the pigeons’ choice by<br />

exclusion and the experimenters’ programming of correction trials following<br />

errors contributed to the birds’ selection of a new lexigram in<br />

response to a new category. Analysis of the pigeons’ mistakes showed<br />

that two factors—lexigram location and basic-level category—affected<br />

the distribution of naming errors; the sequence in which the categories<br />

were learned did not affect confusion errors. <strong>The</strong>se results closely accord<br />

with vocabulary learning by human and nonhuman primates.<br />

4:50–5:05 (236)<br />

Metacognition and Metamemory Across Species. ROBERT R.<br />

HAMPTON, Emory University—Metacognition, or thinking about<br />

thinking, allows one to both monitor and control cognitive processing.<br />

Metamemory is a particularly interesting type of metacognition<br />

because it facilitates the appropriate selection of current behavior<br />

based on accumulated experience, and it supports regulation of learning—for<br />

example, by controlling the allocation of study effort. Fol-

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