S1 (FriAM 1-65) - The Psychonomic Society
S1 (FriAM 1-65) - The Psychonomic Society S1 (FriAM 1-65) - The Psychonomic Society
Saturday Afternoon Papers 204–209 In Session 2, they described these events to a confederate and listened as the confederate described similar (scripted) events. They then took turns to describe the major points of each other’s memories. Crucially, the confederate slipped positive or negative “contagion items” into their re-telling of participants’ memories (e.g., “you thought your 18th birthday would be a major turning point”), which were not part of participants’ original recall. On a final individual test, participants often incorporated, and even elaborated on, the false information from the confederate. Such “contagion” highlights the ways in which collaboration shapes individual remembering, even of memories that we assume that we “own.” Models of Recognition Processes Regency DEFH, Saturday Afternoon, 1:30–3:30 Chaired by Scott D. Slotnick, Boston College 1:30–1:45 (204) No Recollection in Recollection-Based Paradigms: ROC Analysis Supports a Continuous (Single-Process) Memory Model. SCOTT D. SLOTNICK, Boston College (sponsored by Scott D. Slotnick)—The dual-process model assumes memory is based on familiarity or the threshold process of recollection, whereas the single-process unequal variance model assumes memory is a continuous signal detection process. These models can be tested as the dual-process model predicts positively curved (U-shaped) source memory z-transformed receiver operating characteristics [zROCs, plots of z(hit rates) vs. z(false alarm rates)] and the recently modified unequal variance model predicts linear or negatively curved (inverted U-shaped) source memory zROCs. At study, in five source memory experiments, short lists of visual items were presented to the left or right of fixation. At test, responses to each item included a spatial location memory confidence rating (these were used to generate source memory ROCs and zROCs). Critically, source memory zROCs were negatively curved in all experiments, opposite in curvature to that predicted by the dualprocess model and in support of the modified unequal variance model. 1:50–2:05 (205) Testing the Threshold Nature of Recollection Using a Second-Choice Procedure. COLLEEN M. PARKS & ANDREW P. YONELINAS, University of California, Davis—We tested the predictions of various hybrid models of recognition that assume that recognition relies on a signal detection familiarity process and a threshold recollection process. In a four-alternative forced-choice recognition test, subjects were required to make a recognition response, as well as a second response in case the first one was wrong. When recognition performance is dominated by recollection, the models predict little to no relationship between first- and second-choice accuracy, whereas when familiarity contributes more to performance the models predict a positive relationship. As predicted, we found a fairly strong first–second choice relationship in a test of item recognition, but not in a standard associative recognition test. Moreover, a modest relationship emerged in associative recognition under conditions designed to allow familiarity to provide more substantial support of associative recognition. These results provide further evidence that recollection is subject to failure and is therefore well-described as a threshold process. 2:10–2:25 (206) Controlled and Automatic Retrieval Processes: A New Test of the Independence Assumption. EDGAR ERDFELDER, MONIKA UN- DORF, TINA-SARAH AUER, & LUTZ CÜPPER, University of Mannheim—Dual-process models of recognition memory assume that both controlled recollection and automatic activation contribute to memory performance. A largely unresolved issue is whether both processes are uncorrelated (independence model), positively correlated (redundancy model), or negatively correlated (exclusivity model). We present and test the correlated-processes signal-detection 32 (CPSD) model, a dual-process measurement model that provides measures for both processes and the sign of their correlation. We report a series of experiments designed to test the validity of the model’s memory and response bias parameters. In addition, we assessed process correlations in each of the experimental conditions. The results support the psychological validity of the CPSD model and corroborate the independence model of controlled and automatic retrieval processes. 2:30–2:45 (207) Criterion or Distribution Shifts? The Within-List, Strength-Based Mirror Effect. PHILIP A. HIGHAM, University of Southampton, HELEN TAM, University of Bristol, DAVIDE BRUNO, University of Southampton, & TIMOTHY J. PERFECT, University of Plymouth— A common interpretation of the strength-based mirror effect in recognition memory is that participants adopt a more conservative old/new criterion following a strongly encoded list compared to a weakly encoded list. Furthermore, because participants do not vary their criterion on an item-by-item basis, the mirror effect is not observed if strength is varied within a single list. We present data that undermine this general notion, demonstrating strength-based mirror effects within lists when the list structure and test labels are appropriate. However, rather than interpret the results in terms of item-by-item criterion shifts, we suggest that the underlying distributions are located on different places on the strength-of-evidence scale. The results are discussed in terms of two classes of recognition memory models that are compatible with this distributional account: Differentiation models and multiprocess signaldetection models incorporating a metacognitive component. 2:50–3:05 (208) The Relationship Between Old/New and Forced-Choice Recognition Memory Performance. YOONHEE JANG, JOHN T. WIXTED, & DAVID E. HUBER, University of California, San Diego (read by John T. Wixted)—Three models have been advanced to explain asymmetrical ROCs commonly observed on old/new recognition memory tasks. The unequal-variance signal-detection (UVSD) model assumes that recognition decisions are based on a continuous memory strength process that is governed by two Gaussian distributions. The dualprocess signal-detection (DPSD) model assumes that recognition decisions are based either on a threshold-recollection process or on a continuous familiarity process. The mixture signal-detection (MSD) model holds that recognition memory decisions are based on a continuous memory strength process, but the old item distribution consists of a mixture of two equal-variance Gaussian distributions with different means. We tested the ability of these three models to predict two-alternative forced-choice recognition performance based on an ROC analysis of old/new recognition performance. The UVSD model explained more variance than either the DPSD or the MSD model. The UVSD model-based parameter estimates were also more sensible than those of the other two models. 3:10–3:25 (209) Modeling Confidence Judgments in Recognition Memory. ROGER RATCLIFF & JEFFREY J. STARNS, Ohio State University— A model for confidence judgments in recognition memory that assumes that evidence for each confidence category is accumulated in a separate leaky diffusion process is presented. The model makes predictions for both the accuracy and RT distributions for each confidence judgment. Stimulus information is assumed to be represented as a normal distribution of values on a familiarity dimension. Confidence criteria are placed on this dimension and the accumulation rate for each response category is determined by the area under the distribution between the confidence criteria. The model incorporates several different but identifiable sources of variability which results in the standard interpretation of the zROC function being no longer valid. Deviations of the slope from unity reflect both decision criterion settings across confidence criteria as well as differences in familiarity distribution standard deviations.
Papers 210–216 Saturday Afternoon Animal Learning Beacon A, Saturday Afternoon, 1:30–2:50 Chaired by Aaron P. Blaisdell, UCLA 1:30–1:45 (210) Development of an Automated Open Field for Examining Learning and Cognition in Pigeons. KENNETH J. LEISING, MICHAEL PARENTEAU, DENNIS GARLICK, STEVE BADELT, & AARON P. BLAISDELL, UCLA (read by Aaron P. Blaisdell)—We report behavioral experiments with pigeons using a new technology developed in our lab. The Automated Remote Environmental Navigation Apparatus (ARENA) consists of a network of stimulus–response modules that communicate wirelessly with a central computer. Pigeons were first autoshaped with grain reinforcement to peck at an ARENA module. Second, they rapidly learned a simultaneous color-discrimination using two ARENA modules. Third, pigeons acquired a conditional discrimination in which two ARENA modules were simultaneously lit with one of six colors—three colors signaling one module as the S+ and three colors signaling the other module as the S+. Finally, an array of eight ARENA modules was used to demonstrate overshadowing, with some modules serving as landmarks and others as response goals. Landmarks closer to the goal overshadowed spatial control by more distal landmarks. We demonstrate many advantages to automated open-field data collection, including reduced experimenter bias and increased consistency and throughput. 1:50–2:05 (211) Parallels Between Second-Order Conditioned Excitation and Conditioned Inhibition. GONZALO P. URCELAY, JAMES E. WIT- NAUER, & RALPH R. MILLER, Binghamton University (read by Ralph R. Miller)—Experiments conducted in our laboratory have suggested that feature negative training (A+/AX�) results in secondorder excitation to X after relatively few AX� trials and conditioned inhibition after many AX� trials. Parallel results can also be obtained when the context instead of a punctuate cue A mediates these excitatory and inhibitory effects (i.e., explicitly unpaired presentations of + and X�). In this presentation, we will review different manipulations (trial spacing, CS preexposure, and posttraining extinction) that result in symmetrical (but behaviorally opposing) effects on second-order excitation and conditioned inhibition. These basic phenomena (second-order excitation and conditioned inhibition) and the effect of different manipulations that impact these processes are readily explained by SOCR, a formal version of the extended comparator hypothesis (Stout & Miller, in press). These provocative results provide empirical grounds for further theoretical developments that explain second-order excitation and conditioned inhibition within a single framework. 2:10–2:25 (212) Backward Blocking in First-Order Conditioning. KOUJI URUSHI- HARA, University of Hokkaido, & RALPH R. MILLER, Binghamton University—Three lick suppression experiments with rats investigated backward blocking in first-order conditioning. The experiments demonstrated that backward blocking is difficult to obtain in conventional first-order conditioning situations, as priorly determined, and that backward blocking is obtainable in first-order conditioning if the target cue did not have (at least temporarily) the potential to control behavior at the time of elemental training with three different procedures, (1) forward blocking the compound stimulus with a third cue and then inducing release from forward blocking following elemental training with the backward blocking cue, (2) conducting compound and elemental training with backward temporal relationships to the US and assessing associative effects using second-order conditioning, and (3) extinguishing the target cue following compound training and conducting elemental training in a context different from that used in compound training, and then testing the target cue in the context that had been used for compound training (i.e., renewal). 33 2:30–2:45 (213) Comparison of Learning Methods Applied to Dogs by Novice Handlers. STANLEY COREN, University of British Columbia—Little research has looked at the effectiveness of various methods of dog training when applied by novice dog trainers. Three groups of novice dog owners were trained to apply luring, physical prompting, or the traditional physical prompting with leash corrections in order to teach their dogs pet positional changes (specifically, sit, down, and stand). The performance of the dogs was monitored over 3 weeks and lure training was found to be most effective, whereas the traditional physical prompting with leash corrections was the least effective. In addition, measures of animal attitude and emotion (body signals and responsiveness to owners) was different for the different methods, with lure training producing the best responses, while physical prompting with corrections produced fewer approach responses to the handler. These results have clear implications for pet dog owners seeking to train their dogs effectively. Timing and Attention Beacon B, Saturday Afternoon, 1:30–3:10 Chaired by John J. McDonald, Simon Fraser University 1:30–1:45 (214) Electrical Neuroimaging Reveals Timing of Attentional Control in Human Brain. JOHN J. MCDONALD & JESSICA J. GREEN, Simon Fraser University—The frontal lobes are believed to orchestrate attentional-control operations underlying our ability to shift attention in space. Functional brain imaging has revealed frontal and parietal activity in attention-cuing tasks, but due to the sluggishness of the fMRI signal, the sequence of attentional-control operations in the human brain remains unknown. Here, we used an analytical technique called beamforming to reconstruct both the timing and anatomical sources of low-frequency brain waves associated with attentional control. Following a signal to shift attention, control activity was seen in parietal cortex 100–200 msec prior to activity in frontal cortex. Parietal cortex was then re-activated prior to anticipatory biasing of activity in occipital cortex. The magnitudes of early parietal activations as well as later activations were strongly predictive of the degree of attentional improvement in perceptual performance. These results demonstrate that voluntary control of spatial attention involves initial feedforward activations prior to top-down attentional control. 1:50–2:05 (215) Temporally Selective Attention Modulates Perception of Rapidly Presented Information. LISA D. SANDERS, LORI ASTHEIMER, WILLIAM BUSH, & AHREN FITZROY, University of Massachusetts, Amherst—Selective attention provides a mechanism by which people preferentially process subsets of stimuli when faced with overwhelming amounts of information. Spatially selective attention is important for perceiving complex scenes in which multiple objects are presented simultaneously at different locations. We present evidence from a series of experiments that indicate temporally selective attention plays an important role in perception when more information than can be processed in detail is presented rapidly. Specifically, participants can direct selective attention both to different levels of hierarchically organized rhythms and to distinct time points. Doing so modulates auditory and visually evoked potentials at early perceptual stages. Furthermore, directing temporally selective attention to hierarchical levels and specific time points affects perception of the rapidly changing acoustic features that constitute speech. Language experience and proficiency affect the skill with which listeners select the most relevant features and differentially process attended and unattended information in speech streams. 2:10–2:25 (216) Timing and Task Switching Without Interference. CLAUDETTE FORTIN, University of Laval, RICHARD J. SCHWEICKERT, Purdue
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Papers 210–216 Saturday Afternoon<br />
Animal Learning<br />
Beacon A, Saturday Afternoon, 1:30–2:50<br />
Chaired by Aaron P. Blaisdell, UCLA<br />
1:30–1:45 (210)<br />
Development of an Automated Open Field for Examining Learning<br />
and Cognition in Pigeons. KENNETH J. LEISING, MICHAEL<br />
PARENTEAU, DENNIS GARLICK, STEVE BADELT, & AARON P.<br />
BLAISDELL, UCLA (read by Aaron P. Blaisdell)—We report behavioral<br />
experiments with pigeons using a new technology developed in<br />
our lab. <strong>The</strong> Automated Remote Environmental Navigation Apparatus<br />
(ARENA) consists of a network of stimulus–response modules<br />
that communicate wirelessly with a central computer. Pigeons were<br />
first autoshaped with grain reinforcement to peck at an ARENA module.<br />
Second, they rapidly learned a simultaneous color-discrimination<br />
using two ARENA modules. Third, pigeons acquired a conditional<br />
discrimination in which two ARENA modules were simultaneously lit<br />
with one of six colors—three colors signaling one module as the S+<br />
and three colors signaling the other module as the S+. Finally, an array<br />
of eight ARENA modules was used to demonstrate overshadowing,<br />
with some modules serving as landmarks and others as response<br />
goals. Landmarks closer to the goal overshadowed spatial control by<br />
more distal landmarks. We demonstrate many advantages to automated<br />
open-field data collection, including reduced experimenter bias<br />
and increased consistency and throughput.<br />
1:50–2:05 (211)<br />
Parallels Between Second-Order Conditioned Excitation and<br />
Conditioned Inhibition. GONZALO P. URCELAY, JAMES E. WIT-<br />
NAUER, & RALPH R. MILLER, Binghamton University (read by<br />
Ralph R. Miller)—Experiments conducted in our laboratory have suggested<br />
that feature negative training (A+/AX�) results in secondorder<br />
excitation to X after relatively few AX� trials and conditioned<br />
inhibition after many AX� trials. Parallel results can also be obtained<br />
when the context instead of a punctuate cue A mediates these excitatory<br />
and inhibitory effects (i.e., explicitly unpaired presentations of +<br />
and X�). In this presentation, we will review different manipulations<br />
(trial spacing, CS preexposure, and posttraining extinction) that result<br />
in symmetrical (but behaviorally opposing) effects on second-order<br />
excitation and conditioned inhibition. <strong>The</strong>se basic phenomena<br />
(second-order excitation and conditioned inhibition) and the effect of<br />
different manipulations that impact these processes are readily explained<br />
by SOCR, a formal version of the extended comparator hypothesis<br />
(Stout & Miller, in press). <strong>The</strong>se provocative results provide<br />
empirical grounds for further theoretical developments that explain<br />
second-order excitation and conditioned inhibition within a single<br />
framework.<br />
2:10–2:25 (212)<br />
Backward Blocking in First-Order Conditioning. KOUJI URUSHI-<br />
HARA, University of Hokkaido, & RALPH R. MILLER, Binghamton<br />
University—Three lick suppression experiments with rats investigated<br />
backward blocking in first-order conditioning. <strong>The</strong> experiments<br />
demonstrated that backward blocking is difficult to obtain in conventional<br />
first-order conditioning situations, as priorly determined, and<br />
that backward blocking is obtainable in first-order conditioning if the<br />
target cue did not have (at least temporarily) the potential to control<br />
behavior at the time of elemental training with three different procedures,<br />
(1) forward blocking the compound stimulus with a third cue<br />
and then inducing release from forward blocking following elemental<br />
training with the backward blocking cue, (2) conducting compound<br />
and elemental training with backward temporal relationships to the<br />
US and assessing associative effects using second-order conditioning,<br />
and (3) extinguishing the target cue following compound training and<br />
conducting elemental training in a context different from that used in<br />
compound training, and then testing the target cue in the context that<br />
had been used for compound training (i.e., renewal).<br />
33<br />
2:30–2:45 (213)<br />
Comparison of Learning Methods Applied to Dogs by Novice<br />
Handlers. STANLEY COREN, University of British Columbia—Little<br />
research has looked at the effectiveness of various methods of dog<br />
training when applied by novice dog trainers. Three groups of novice<br />
dog owners were trained to apply luring, physical prompting, or the<br />
traditional physical prompting with leash corrections in order to teach<br />
their dogs pet positional changes (specifically, sit, down, and stand).<br />
<strong>The</strong> performance of the dogs was monitored over 3 weeks and lure<br />
training was found to be most effective, whereas the traditional physical<br />
prompting with leash corrections was the least effective. In addition,<br />
measures of animal attitude and emotion (body signals and responsiveness<br />
to owners) was different for the different methods, with<br />
lure training producing the best responses, while physical prompting<br />
with corrections produced fewer approach responses to the handler.<br />
<strong>The</strong>se results have clear implications for pet dog owners seeking to<br />
train their dogs effectively.<br />
Timing and Attention<br />
Beacon B, Saturday Afternoon, 1:30–3:10<br />
Chaired by John J. McDonald, Simon Fraser University<br />
1:30–1:45 (214)<br />
Electrical Neuroimaging Reveals Timing of Attentional Control in<br />
Human Brain. JOHN J. MCDONALD & JESSICA J. GREEN, Simon<br />
Fraser University—<strong>The</strong> frontal lobes are believed to orchestrate<br />
attentional-control operations underlying our ability to shift attention<br />
in space. Functional brain imaging has revealed frontal and parietal<br />
activity in attention-cuing tasks, but due to the sluggishness of the<br />
fMRI signal, the sequence of attentional-control operations in the<br />
human brain remains unknown. Here, we used an analytical technique<br />
called beamforming to reconstruct both the timing and anatomical<br />
sources of low-frequency brain waves associated with attentional control.<br />
Following a signal to shift attention, control activity was seen in<br />
parietal cortex 100–200 msec prior to activity in frontal cortex. Parietal<br />
cortex was then re-activated prior to anticipatory biasing of activity<br />
in occipital cortex. <strong>The</strong> magnitudes of early parietal activations<br />
as well as later activations were strongly predictive of the degree of<br />
attentional improvement in perceptual performance. <strong>The</strong>se results<br />
demonstrate that voluntary control of spatial attention involves initial<br />
feedforward activations prior to top-down attentional control.<br />
1:50–2:05 (215)<br />
Temporally Selective Attention Modulates Perception of Rapidly<br />
Presented Information. LISA D. SANDERS, LORI ASTHEIMER,<br />
WILLIAM BUSH, & AHREN FITZROY, University of Massachusetts,<br />
Amherst—Selective attention provides a mechanism by which people<br />
preferentially process subsets of stimuli when faced with overwhelming<br />
amounts of information. Spatially selective attention is important<br />
for perceiving complex scenes in which multiple objects are presented<br />
simultaneously at different locations. We present evidence from a series<br />
of experiments that indicate temporally selective attention plays<br />
an important role in perception when more information than can be<br />
processed in detail is presented rapidly. Specifically, participants can<br />
direct selective attention both to different levels of hierarchically organized<br />
rhythms and to distinct time points. Doing so modulates auditory<br />
and visually evoked potentials at early perceptual stages. Furthermore,<br />
directing temporally selective attention to hierarchical<br />
levels and specific time points affects perception of the rapidly<br />
changing acoustic features that constitute speech. Language experience<br />
and proficiency affect the skill with which listeners select the<br />
most relevant features and differentially process attended and unattended<br />
information in speech streams.<br />
2:10–2:25 (216)<br />
Timing and Task Switching Without Interference. CLAUDETTE<br />
FORTIN, University of Laval, RICHARD J. SCHWEICKERT, Purdue