W. Todd Maddox, A. David Ing, J. Scott Lauritzen · 2006
... learning, using stimuli that contained auditory and visual information. The results suggest that it is easier to perceptually integrate information within these sensory modalities than across modalities. Conversely, it is easier to perform a disjunctive rule-based task when information comes from different sensory modalities, rather than from the same modality. Quantitative model-based analyses suggested that the information integration deficit for across-modality stimulus dimensions was due to an increase in the use of hypothesis-testing strategies to solve the task and to an increase in random responding. The modeling also suggested that the across-modality advantage for disjunctive, rule-based category learning was due to a greater reliance on disjunctive hypothesis-testing strategies, as opposed to unidimensional hypothesis-testing strategies and random responding.
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Sarah Lukas, Andrea M. Philipp, Iring Koch · PsycEXTRA Dataset · 2007
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Gerald S. Wasserman · Behavioral and Brain Sciences · 1982
An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
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James W. Covington, John Polich · Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section · 1996
Cited by 74
Yves Lacouture, D Lacerte · Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale · 1997
Accuracy and response time (RT) were measured in the absolute identification (AI) of 10 unidimensional perfectly pairwise discriminable stimuli. One group of 20 subjects performed a visual AI task involving line segments of variable length. A second group of 20 subjects participated in an auditory task with the stimuli composed of pure tones of variable intensity. Subjects performed the task under two conditions: a spatially compatible and a spatially incompatible stimulus-response mapping. Results showed greater accuracy for the visual modality and longer RT for the incompatible mapping. The experimental factors did not substantially alter the bowing observed when performance was plotted according to the ordinal position of the stimuli. The data do not support the hypothesis that the bow effect is attributable to motor programming or motor adjustment stages.
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Christoforos Christoforou, Fofi Constantinidou, Panayiota Shoshilou et al. · 2013
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John Polich, Floyd E. Bloom · Alcohol · 1999
Cited by 33
Marco D Comerchero, John Polich · Cognitive Brain Research · 1998
Cited by 161
John Polich, Patricia Crane Ellerson, Jill Cohen · International Journal of Psychophysiology · 1996
Cited by 142
大上 淑美, Yoshimi Ohgami, 小谷 泰則 et al. · Tokyo Tech Research Repository (Tokyo Institute of Technology) · 2016
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大上淑美, Yoshimi Ohgami, 小谷 泰則 et al. · Tokyo Tech Research Repository (Tokyo Institute of Technology) · 2008
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Yoshimi Ohgami, Yasunori Kotani, Shiho Hiraku et al. · Psychophysiology · 2004
The present study aimed to investigate the effect of reward and stimulus modality of feedback stimuli on the stimulus-preceding negativity. A time estimation task was performed, and (a) the motivational level (reward and no-reward) and (b) the stimulus modality (auditory and visual) of feedback stimuli were manipulated. The results demonstrated that the stimulus-preceding negativity was larger in the reward than in the no-reward condition, especially at the right frontal and the left occipito-temporal areas. Moreover, the stimulus-preceding negativity prior to visual feedback stimuli was larger over the occipital areas than in the auditory condition. In contrast, at the prefrontal areas, the amplitude prior to auditory feedback stimuli was larger than in the visual condition. Our results revealed that the prefeedback stimulus-preceding negativity was independently influenced by stimulus modality and motivation.
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大上淑美, Yoshimi Ohgami, 小谷泰則 et al. · Tokyo Tech Research Repository (Tokyo Institute of Technology) · 2017
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The Go/no-go N, Sander Nieuwenhuis, A Nick Yeung et al. · 2016
Stimuli that elicit a prepotent but incorrect response are typically associated with an enhanced electrophysiological N2 that is thought to index the operation of a control process such as inhibition or conflict detection. However, recent studies reporting the absence of the N2 modulation in go/no-go tasks involving auditory stimuli challenge this view: It is not clear why inhibition or conflict detection should be sensitive to the modality of the stimulus. Here we present electrophysiological data from a go/no-go task suggesting that the relative size of the N2 modulation in visual and auditory tasks depends on the perceptual overlap between the go and no-go stimuli. Stimuli that looked similar but sounded different were associated with a typical visual N2 modulation and the absence of an auditory N2 modulation, consistent with previous findings. However, when we increased the perceptual overlap between the auditory stimuli, a large no-go N2 was observed. These findings are discussed in terms of existing hypotheses of the N2, and clarify why previous studies have not found an N2 modulation in auditory go/no-go tasks. Descriptors: No-go, Stimulus modality, Response conflict, N2, Monitoring, Inhibition There has been increasing interest in electrophysiological correlates of cognitive control processes, the high-level processes that monitor and regulate basic information processing. An important example concerns the N2, a negative event-related brain potential (ERP) component with a frontocentral scalp distribution that peaks around 300ms after stimulus presenta-tion. TheN2 is often enhanced under conditions in which there is a tendency to make a prepotent but incorrect response (e.g.,
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Colton B. Adams (17691997), Monica Papeş (24829), Charles A. Price (12840248) et al. · Figshare · 2023
<p>Open circles = alarm call playback study; dark circles = owl model presentation study. Data are plotted as means (circles) and 95% confidence intervals (whiskers). Significant differences were detected for titmice and nuthatches (see text).</p>
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Óscar Hernández, Karla María Hernández-Sánchez · Acta Neurobiologiae Experimentalis · 2017
Determining the characteristics of Omitted Stimulus Potential (OSP) parameters using different sensory modalities is important because they reflect timing processes and have a substantial influence on time perception. At the same time, the central mechanisms of time perception associated with sensory processing can modulate cortical brain waves related to cognition. This experiment tested the relationship between parameters of the whole OSP brain wave when trains of auditory, visual or somatosensory stimuli were applied. Twenty healthy young college volunteers completed within‑subjects trials with sensory stimuli at a fixed frequency of 0.5 Hz that ceased unpredictably. These passive trials required no behavioural response and were administered to measure the complete set of OSP (i.e., the rate of rise, amplitude and peak latency). OSPs showed a faster rate of rise for auditory stimuli compared to visual or somatosensory stimuli. Auditory stimuli also produced a shorter time to peak and higher amplitude waves. No significant differences were obtained between visual and somatosensory waves. The results suggest that the brain handles interval timing and expectation with greater efficiency for the auditory system compared to other sensory modalities. This auditory supremacy is congruent with previous behavioural studies using missing stimulus tasks and could be useful for clinical purposes, for example, designing auditory‑based brain‑computer interfaces for patients with motor disabilities and visual impairment. The rate of rise is a dynamic measure that should be included in the ERPs analysis.
Cited by 6Open access
Julia Wallace, Pamela A. Steinert, Stanley R. Scobie et al. · Animal Learning & Behavior · 1980
Cited by 66Open access
Emma E. Birkett (311892), Joel B. Talcott (297005) · Figshare · 2015
<p>Cumulative mean estimates of variance. Timekeeper (light grey) and implementation variance (dark grey) are shown across the two stimulus conditions. Ratio values indicate the ACF which represents the relative amounts of variance from each source.</p>
Cited by 0Open access
Emma E. Birkett (311892), Joel B. Talcott (297005) · Figshare · 2015
<p>Behavioural data across the three trials (bars: trial 1 - dark grey, trial 2 - light grey, trial 3 - mid grey)) within the two stimulus modalities. Data presented are (A) mean IRI, (B) IRI variability and (C) mean interval difference. Error bars show SEM.</p>
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Ralf Mertens, John Polich · Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section · 1997
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