S1 (FriAM 1-65) - The Psychonomic Society
S1 (FriAM 1-65) - The Psychonomic Society
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>