Neurophysiological evidence for transfer appropriate processing of memory: Processing versus feature similarity

Schendan, Haline E.; Kutas, Marta

doi:10.3758/bf03196810

Cited by 35 publications

(40 citation statements)

References 32 publications

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“…This pattern of ERPs was in agreement with previous studies investigating the ERP responses in relation to object manipulability (Petit et al, 2006;Proverbio et al, 2011). The N300 may be sensitive to the recoverability of the object structure reflecting the access to both the conceptual representation system (Damasio et al, 1996;McPherson and Holcomb, 1999;Schendan and Kutas, 2007) and the motoric properties of the manipulable tools (Petit et al, 2006;Proverbio et al, 2011). Considering that the N300 may index the automatic activation of the motor schemata linked to the object's use (Petit et al, 2006;Proverbio et al, 2011) the larger negative deflection found for low affording tools may, therefore, reflect additional processing for stimuli for which it is more difficult to detect the correct motor Fig.…”

Section: Discussionsupporting

confidence: 91%

“…It is likely that high affording/high attractive tools evaluation might exert additive effects on the neural activity. Hence, we hypothesized that high affording/ high attractive tools might elicit an amplitude enhancement of the P200, indexing the access to the object representation system (Amsel et al, in press;Luck and Hillyard, 1994;Phillips and Takeda, 2009;Schendan and Lucia, 2010) and of the fronto-central N300, indexing conceptual processing (Schendan and Kutas, 2007), motor representations processing (Proverbio et al, 2011;Petit et al, 2006) and esthetic appreciation process (Jacobsen and Höfel, 2003). Moreover, the evaluation of high affording/high attractive tools may enhance the P300 component that represents an attentional updating process (Polich, 2007) and has been shown to be sensitive to positive arousing stimuli (DelPlanque et al, 2004(DelPlanque et al, , 2006De Tommaso et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

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Attractiveness and affordance shape tools neural coding: Insight from ERPs

Righi

Orlando

Marzi

2014

International Journal of Psychophysiology

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This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues.Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. The relation between attractiveness and motor affordance is a key topic in design and has not yet been investigated electrophysiologically. In this respect, action affordance and attractiveness represent two crucial dimensions in object processing (specifically for tools). In light of this evidence, Event Related Potentials (ERPs) enabled us to gain new insights into the time course of the interaction between these two dimensions during an explicit tool evaluation task. Behaviorally, tools that were judged as high affording and high attractive yielded faster response times than those judged as low affording and low attractive. The ERP results showed that early processes related to sensory gating and feature extraction (N100) were sensitive to both affordance and attractiveness; the P200 was dominated by affordance, indexing a facilitated access to motor action representation. The N300, P300 and the Late Positive Potential (LPP) showed enhanced responses for highly affording/attractive tools, reflecting the interconnection between attractiveness and affordance. Later responses were entirely affected by attractiveness, suggesting additional affective responses evoked by desirable tools. We are showing that things that are perceived as more functional and attractive have a privileged neural activation in the time course of tool evaluation, for the first time.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Attractiveness and affordance shape tools neural coding: Insight from ERPs

Righi

Orlando

Marzi

2014

International Journal of Psychophysiology

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“…Such early grouping effects have been localized to the calcarie cortex (Han, Jiang, Mao, Humphrey, & Qin, 2005). However, perceptual grouping operations have also been described in later ERP components (Casco, Campana, Han, & Guzzon, 2009;Han & Humphrey, 2007;Han, Jiang, Mao, Humphrey, & Qin, 2005;Schendan & Kutas, 2007b). For instance, Schedan and Kutas (2007) observed an occipitotemporoparietal P2 repetition effect when similar perceptual grouping processes of good continuation and closure were repeatedly engaged between the study and the test experiment.…”

Section: Discussionmentioning

confidence: 98%

“…For instance, Schedan and Kutas (2007) observed an occipitotemporoparietal P2 repetition effect when similar perceptual grouping processes of good continuation and closure were repeatedly engaged between the study and the test experiment. Most likely, the perceptual processes occurring in the P200 time window are already under the influence of visual object knowledge that directs the attention to salient image features (Schendan & Kutas, 2007b) and reflects the feedback from high-level brain structures (Han & Humphrey, 2007;Han, Jiang, Mao, Humphrey, & Qin, 2005).…”

Section: Discussionmentioning

confidence: 99%

Electrophysiological evidence for colour effects on the naming of colour diagnostic and noncolour diagnostic objects

et al. 2012

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In this study, we investigated the level of visual processing at which surface color information improves the recognition of color diagnostic and non-color diagnostic objects. Continuous electroencephalograms were recorded while participants performed a visual object naming task in which colored and black-and-white versions of both types of objects were presented. The blackand-white and the color presentations were compared in two groups of event-related potentials (ERPs): (1) the P1 and N1 components, indexing early visual processing; and (2) the N400 component, which index late visual processing. A color effect was observed in the P1 and N1 components, for both color and non-color diagnostic objects. In addition, for color diagnostic objects, a color effect was observed in the N400 component. These results suggest that color information is important for the recognition of color and non-color diagnostic objects at different levels of visual processing. It thus appears that the visual system uses color information, during recognition of both object types, at early visual stages; however for the color diagnostic objects recognition, color information is also recruited during the late visual processing stages. ACKNOWLEDGMENTS

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“…Object processing in the visual cortex involves a cascade of neural events, which are reflected in the P1-N1-P2 ERP complex (Murray et al, 2006;Rousselet et al, 2007;Smith et al, 2007;Barbeau et al, 2008;Okazaki et al, 2008). The P2 component, in particular, might reflect grouping processes (Schendan and Kutas, 2007;Schendan and Lucia, 2010) as well as high-level object processing (Halit et al, 2000;Itier and Taylor, 2002;Latinus and Taylor, 2005;Mercure et al, 2008) and might be modulated by the recurrent and feedback processes within the visual cortical hierarchy in the case of increased processing demands, such as during visual masking (Kotsoni et al, 2007). Therefore, at this point it is not clear to what extent the modulation of the P2 component in the study by Philiastides et al (2006) reflected the effect of noise on visual processing or on the processes related to detection of overall task difficulty and allocation of attentional resources.…”

Section: Introductionmentioning

confidence: 99%

Dissociating the Effect of Noise on Sensory Processing and Overall Decision Difficulty

Bankó¹,

Gál²,

Körtvélyes³

et al. 2011

J. Neurosci.

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It has been proposed that perceptual decision making involves a task-difficulty component, which detects perceptual uncertainty and guides allocation of attentional resources. It is thought to take place immediately after the early extraction of sensory information and is specifically reflected in a positive component of the event related potentials, peaking at ϳ220 ms after stimulus onset. However, in the previous research, neural processes associated with the monitoring of overall task difficulty were confounded by those associated with the increased sensory processing demands as a result of adding noise to the stimuli. Here we dissociated the effect of phase noise on sensory processing and overall decision difficulty using a face gender categorization task. Task difficulty was manipulated either by adding noise to the stimuli or by adjusting the female/male characteristics of the face images. We found that it is the presence of noise and not the increased overall task difficulty that affects the electrophysiological responses in the first 300 ms following stimulus onset in humans. Furthermore, we also showed that processing of phase-randomized as compared to intact faces is associated with increased fMRI responses in the lateral occipital cortex. These results revealed that noise-induced modulation of the early electrophysiological responses reflects increased visual cortical processing demands and thus failed to provide support for a task-difficulty component taking place between the early sensory processing and the later sensory accumulation stages of perceptual decision making.

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Neurophysiological evidence for transfer appropriate processing of memory: Processing versus feature similarity

Cited by 35 publications

References 32 publications

Attractiveness and affordance shape tools neural coding: Insight from ERPs

Attractiveness and affordance shape tools neural coding: Insight from ERPs

Electrophysiological evidence for colour effects on the naming of colour diagnostic and noncolour diagnostic objects

Dissociating the Effect of Noise on Sensory Processing and Overall Decision Difficulty

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