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Using the Local Field Potential (LFP) Recorded from the Inferior-Temporal Cortex of a Macaque Monkey to Study Species-Dependent (Monkey/human) Face Processing

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Sigala,  R
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Veit,  J
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Logothetis,  NK
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Rainer,  G
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Sigala, R., Veit, J., Logothetis, N., & Rainer, G. (2007). Using the Local Field Potential (LFP) Recorded from the Inferior-Temporal Cortex of a Macaque Monkey to Study Species-Dependent (Monkey/human) Face Processing. Poster presented at 10th Tübinger Wahrnehmungskonferenz (TWK 2007), Tübingen, Germany.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-CD29-1
Abstract
Recently, we have been able to read out a human/monkey face category-boundary from singleunit-activity (SUA) recorded from the inferior-temporal (IT) cortex of a macaque monkey brain. This data was collected in an experiment where monkeys have to fixate at pictures of human/monkey morphed faces at different levels of this ‘species-continuum’. Consistent with our previous psychophysical experiments in which human subjects have to categorize morphed faces as humans or monkeys, the perceptual boundary seems to be shifted towards the ‘own-species’ category (approximately 60 human/40 monkey in humans and the other way around in the monkey data). Similar to the ‘other-race’ effect, this effect suggests a perceptual bias that could be due to long-term learning. The local field potential (LFP) refers to the low-frequency (< 300Hz) component of signals recorded from the brain, and it has been associated with dendritic activity within a particular recording area. In this work we investigate to what extent these LFP signals are stimulus selective and weather they correlate with our previous results obtained from the simultaneously recorded spiking activity (SUA).To achieve that, we first extract different features from the LFP signals such peak amplitude, time-onset or the spectral power of different frequency bands. To evaluate the information content of these features in relation to our stimulus and the spiking data, we use statistical analyses, information theory and pattern classification. Preliminary results show that features such as peak onset-time and peak-amplitude differ significantly across stimulus-conditions. In contrast to the spiking data, when using these features, the pattern classifiers set the face category-border without a consistent shift towards the monkey category. Further analysis of these features using information theory will be needed to test possible correlations with the spiking data and the stimulus properties.