The dichotomy of speed- and accuracy-related abilities in face and object cognition and their neurocognitive mechanisms
Final Report Abstract
(1) Faces stand out as a specific category of objects; other special object categories are vehicles, which relate to the expertise that some persons acquire with this special object category. Importantly, for research purposes of contrasting social versus non-social stimuli, houses belong to a representative category of non-face objects and can be taken as a proxy for comparisons with faces. (2) The differentiation between faces and objects in accuracy tasks but not in speed tasks was confirmed on the performance level. A similar differentiation could be found on the neural level for indicators of structural analysis (N1/N170) of faces and houses. (3) The brain-behaviour relationship showed that faster face-specific processes for structural encoding of faces are associated with higher accuracy in both, perceiving and memorizing faces. Moreover, in difficult task conditions, qualitatively different processes are additionally needed for recognizing face and object stimuli as compared with easy tasks. The difficultydependent variance components of the N170 amplitude were related with both face and object memory performance.
Publications
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(2015). A toolbox for residue iteration decomposition (RIDE)—A method for the decomposition, reconstruction, and single trial analysis of event related potentials. Journal of Neuroscience Methods, 250, 7-21
Ouyang, G., Sommer, W., & Zhou, C.
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(2016). Behavioral and neuronal determinants of negative reciprocity in the ultimatum game. Social Cognitive and Affective Neuroscience, 11, 1608-1617
Kaltwasser, L., Hildebrandt, A., Wilhelm, O., & Sommer, W.
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(2016). Reconstructing ERP amplitude effects after compensating for trial-to-trial latency jitter: A solution based on a novel application of residue iteration decomposition. International Journal of Psychophysiology, 109, 9-20
Ouyang, G., Sommer, W., & Zhou, C.
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(2017). COMT genotype is differentially associated with single trial variability of ERPs as a function of memory type. Biological Psychology, 127, 209-219
Nowparast Rostami, H., Saville, C. W. N., Klein, C., Ouyang, G., Sommer, W., Zhou, C., & Hildebrandt, A.
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(2017). Exploiting the intra-subject latency variability from single-trial event-related potentials in the P3 time range: A review and comparative evaluation of methods. Neuroscience & Biobehavioral Reviews, 75, 1-21
Ouyang, G., Hildebrandt, A., Sommer, W., & Zhou, C.
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(2017). Individual differences in the speed of facial emotion recognition show little specificity but are strongly related with general mental speed: Psychometric, neural, and genetic evidence. Frontiers in Behavioral Neuroscience, 11:149
Liu, X., Hildebrandt, A., Recio, G., Sommer, W., Cai, X., & Wilhelm, O.
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(2017). Structural encoding processes contribute to individual differences in face and object cognition: Inferences from psychometric test performance and event-related brain potentials. Cortex, 95, 192-210
Nowparast Rostami, H., Sommer, W., Zhou, C., Wilhelm, O., & Hildebrandt, A.
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(2018). All categories are equal, but some categories are more equal than others: The psychometric structure of object and face cognition. Journal of Experimental Psychology: Learning, Memory and Cognition, 44, 1254-1268
Cepulic, D. B., Wilhelm, O., Sommer, W., & Hildebrandt, A.
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(2018). Perceiving Faces: Too Much, Too Fast? - Face Specificity in Response Caution. Journal of Experimental Psychology: Human Perception and Performance, 45, 16-38
Meyer, K., Schmitz, F., Wilhelm, O., & Hildebrandt, A.
