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S1 (FriAM 1-65) - The Psychonomic Society

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Friday Morning Papers 49–54<br />

congruence) and name (name-congruence) of keys on a keyboard were<br />

dissociated. In two experiments participants responded with crossed<br />

hands to the color of colored letters on a keyboard. In Experiment 1<br />

the keys were without names; in Experiment 2 the keys were renamed.<br />

This resulted in effector-congruent, incongruent, and different name-/<br />

key-congruent conditions. An effect of effector-congruence was always<br />

found. In Experiment 1 participants showed facilitation in the<br />

key-congruent/name-neutral condition. In Experiment 2 participants<br />

showed interference in the key-congruent/name-incongruent condition.<br />

No effect was obtained in the key-incongruent/name-congruent<br />

condition. Thus, key names are neither sufficient nor necessary for the<br />

activation of spatial representations in skilled typing. However, key<br />

names are processed, and if they do not match the keys they disturb<br />

the development of spatial representations.<br />

10:40–10:55 (49)<br />

Disruption of Timing by Delayed Auditory Feedback As a Function<br />

of Movement Kinematics. PETER Q. PFORDRESHER & XIAOJUN<br />

SHAN, University at Buffalo—It is well known that timing of rhythm<br />

production is disrupted by delayed auditory feedback (DAF), and that<br />

disruption varies with delay amount. We tested the hypothesis that disruption<br />

depends on the state of the movement trajectory at the onset<br />

of DAF. Participants tapped isochronous rhythms at a rate specified<br />

by a metronome while hearing DAF of differing amounts. Threedimensional<br />

motion capture was used to analyze movement trajectories.<br />

Intertap intervals (ITIs) varied as an approximately sinusoidal<br />

function of feedback condition; they were longest for shorter delays<br />

(�50% of ITIs) and sped up for longer delays (�50%). Finger velocity,<br />

but not position, predicted change to ITIs: timing slowed when<br />

DAF coincided with positive velocities (upward swing) and sped up<br />

when DAF coincided with negative velocities. Thus, DAF’s effect on<br />

timing may not constitute “disruption” per se, but may instead reflect<br />

associations between perceived stimulus onsets and phases within<br />

movement trajectories.<br />

11:00–11:15 (50)<br />

Anticipatory Finger Movements in Musical Sequences. CAROLINE<br />

PALMER & WERNER GOEBL, McGill University—Rapid sequential<br />

tasks such as music performance require that finger motion trajectories<br />

be computed and executed during the production of other motion<br />

trajectories, conditions which often reflect coarticulation. We investigated<br />

the anticipatory movements of pianists’ fingers toward piano<br />

keys in performances at different tempi, while manipulating the sequential<br />

distance between repetitions of specific finger movements.<br />

Skilled pianists performed melodies from memory in a synchronizationcontinuation<br />

task at four different fast rates while a passive motion<br />

capture system recorded the pianists’ fingers and piano keys. Anticipatory<br />

movements of a finger toward its next keypress began later in<br />

absolute time but sooner in relative time (number of sequence events)<br />

at faster rates than at slower rates. Furthermore, these anticipatory<br />

movements were larger and sooner for less coupled fingers, indicating<br />

that coarticulatory properties of sequential finger movements constrain<br />

anticipatory motion in timed sequential tasks.<br />

11:20–11:35 (51)<br />

Tremor As a Bridge: <strong>The</strong> Continuous Flow of Information From<br />

Intention to Action. RAJAL G. COHEN & DAVID A. ROSENBAUM,<br />

Pennsylvania State University (read by David A. Rosenbaum)—<strong>The</strong><br />

question of how intentions are translated into actions has been addressed<br />

with a variety of approaches, ranging from philosophy to neurophysiology.<br />

Here, we asked a new question about such translation,<br />

using a measure based in cognitive neuroscience. <strong>The</strong> question was<br />

whether intentions are translated into actions discretely, in a stagewise<br />

fashion, or continuously, in a cascade? Our approach to this question<br />

was inspired by the observation that microsaccades, the tiny eye<br />

movements that arise during visual fixation, are more likely to occur<br />

in the direction of forthcoming movement than in the opposite direction.<br />

We asked whether a similar phenomenon applies to physiologi-<br />

8<br />

cal tremor of the upper extremity. Consistent with the continuous<br />

translation hypothesis, we found that when people pause before moving,<br />

the small movements inherent in their pauses are biased along the<br />

axes of forthcoming voluntary movement. This outcome suggests that<br />

tremor offers a new window into mental function.<br />

11:40–11:55 (52)<br />

Mirror Neurons in Humans? MORTON ANN GERNSBACHER,<br />

JENNIFER L. STEVENSON, & EMILY K. SCHWEIGERT, University<br />

of Wisconsin, Madison—Mirror neurons were so named after Rizzolatti<br />

and colleagues’ serendipitous discovery during single-cell recording in<br />

macaques: A set of neurons in ventrolateral premotor cortex fired both<br />

when the monkey spontaneously executed an action, such as reaching<br />

for a pellet, and when the monkey spontaneously observed a conspecific<br />

executing the same action. We searched the 269 articles indexed<br />

through the year 2006 on PubMed and Psych Abstracts with the terms<br />

“mirror neuron/s” and “mirror neuron system.” We discovered that no<br />

human neuroimaging study had actually replicated this effect, including<br />

Rizzolatti and colleagues’ (1995/1996) human PET experiments,<br />

from which Rizzolatti cautioned that “brain imaging experiments carried<br />

out in humans have failed up to now to convincingly demonstrate<br />

the existence of a cortical circuit similar to that described in the monkey,”<br />

but which are nonetheless cited by the vast majority of articles<br />

claiming that mirror neurons have been observed in humans.<br />

Recognition Processes<br />

Seaview, Friday Morning, 9:40–12:00<br />

Chaired by William E. Hockley, Wilfrid Laurier University<br />

9:40–9:55 (53)<br />

Opposing Strength-Based Mirror Effects for Words Versus Pictures:<br />

Evidence for Within-List Criterion Changes. WILLIAM E.<br />

HOCKLEY, Wilfrid Laurier University—Strength-based mirror effects<br />

are seen when the hit rate is higher and the false alarm rate is<br />

lower following strongly encoded study lists compared to more<br />

weakly encoded lists. Hockley and Niewiamdomski (in press) demonstrated<br />

opposing mirror effects for item and associative recognition by<br />

differentially varying the presentation rate of items and pairs within<br />

lists. <strong>The</strong>y interpreted these results as indicating that participants<br />

adopted different decision criteria for item and associative recognition<br />

tests. In the present experiments separate and opposing mirror effects<br />

were found by manipulating the presentation rate of words and pictures<br />

(line drawings) between and within lists. If strength-based mirror<br />

effects occur because participants use a more conservative decision<br />

criterion for strong compared to weak lists, then the present<br />

results demonstrate that participants can adopt different decision criteria<br />

for words and pictures and alternate between these criteria on a<br />

trial-by-trial basis during the course of the recognition test.<br />

10:00–10:15 (54)<br />

Is Familiarity-Based or Recollection-Based Recognition Faster: <strong>The</strong><br />

Source of the Contradicting Findings. JERWEN JOU, University of<br />

Texas, Pan American—Response-signal paradigm experiments showed<br />

that recognition decisions made under earlier response deadlines are<br />

familiarity-based whereas those made under later deadlines are<br />

recollection-based. This supports the idea that recollection-based<br />

recognitions take longer than familiarity-based recognitions. In contrast,<br />

Remember–Know paradigm experiments showed that<br />

Remember-responses (recollection-based) are faster than Knowresponses<br />

(familiarity-based). Is there a coherent explanation for these<br />

two contradictory findings? It is suggested that the two experimental<br />

paradigms measure two different dimensions of a recognition process.<br />

That is, the response-signal experiments measure the difficulty levels<br />

of a recognition (e.g., easier global recognitions take place earlier than<br />

detailed recognitions), whereas the Remember–Know paradigm measures<br />

the strength of memory. In this study, difficulty levels of recognition<br />

and degrees of learning were independently manipulated. <strong>The</strong>

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