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Nikos K. Logothetis [13]Nikos Logothetis [8]
  1. Nikos Logothetis, Individuation and Holistic Processing of Faces in Rhesus Monkeys.
    Despite considerable evidence that neural activity in monkeys reflects various aspects of face perception, relatively little is known about monkeys’ face processing abilities. Two characteristics of face processing observed in humans are a subordinate-level entry point, here, the default recognition of faces at the subordinate, rather than basic, level of categorization, and holistic effects, i.e. perception of facial displays as an integrated whole. The present study used an adaptation paradigm to test whether untrained rhesus macaques (Macaca mulatta) display these hallmarks (...)
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  2. Nikos Logothetis, In Vivo Brain Connectivity: Optimization of Manganese Enhanced MRI for Neuronal Tract Tracing.
    manganese (Mn2+) enhanced MRI (MEMRI) to study neuronal connectivity in vivo opens the possibility to these studies. However, several drawbacks exist that challenge its applicability. High Mn2+ concentrations produce cytotoxic effects that can perturb the circuits under study. In the other hand, the MR signal is..
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  3. Nikos Logothetis, Myocardial and Cerebral Perfusion Studies in Animal Models.
    In-vivo phenotyping of genetically engineered mouse models for amyotrophic lateral sclerosis is established by combining BT-MRI and CASL G. Vanhoutte1, E. Storkebaum2, P. Carmeliet2, A. Van der Linden1.
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  4. Nikos Logothetis, Prediction on Spike Data Using Kernel Algorithms.
    We report and compare the performance of different learning algorithms based on data from cortical recordings. The task is to predict the orientation of visual stimuli from the activity of a population of simultaneously recorded neurons. We compare several ways of improving the coding of the input (i.e., the spike data) as well as of the output (i.e., the orientation), and report the results obtained using different kernel algorithms.
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  5. Nikos Logothetis, Report Vocal-Tract Resonances as Indexical Cues in Rhesus Monkeys.
    Asif A. Ghazanfar,1,3,* Hjalmar K. Turesson,1,3 statistical pattern recognition [16, 17] and psychophys- Joost X. Maier,1 Ralph van Dinther,2 ics [13, 18–23] have suggested that formants are signif- Roy D. Patterson,2 and Nikos K. Logothetis1 icant contributors to these indexical cues. It is likely, 1Max Planck Institute for Biological Cybernetics then, that detecting formants could have provided 72076 Tuebingen ancestral primates with indexical cues necessary for Germany navigating the complex social interactions that are the 2Centre for the Neural Basis of (...)
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  6. Nikos Logothetis, Search.
    c Ralph Mason -- 199. A New Frontier for Proton MRI: Quantitative Tissue Oximetry g f e d c Ralph P. Mason -- 200. S-GalTM, a Novel 1H MRI Reporter for b-Galactosidase g f e d c John Chen -- 201. Myeloperoxidase-mediated activation of paramagnetic imaging g f e d..
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  7. Asif A. Ghazanfar, Kristina Nielsen & Nikos K. Logothetis (2006). Eye Movements of Monkey Observers Viewing Vocalizing Conspecifics. Cognition 101 (3):515-529.
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  8. K. Moutoussis, Alexander Maier, Semir Zeki & Nikos K. Logothetis (2005). Seeing Invisible Motion: Responses of Area V5 Neurons in the Awake-Behaving Macaque. Soc. For Neurosci. Abstr 390 (11).
    Moutoussis, K., A. Maier, S. Zeki and N. K. Logothetis: Seeing invisible motion: responses of area V5 neurons in the awake-behaving macaque. Soc. for Neurosci. Abstr. 390.11, 1 (11 2005) Abstract.
     
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  9. David A. Leopold, Alexander Maier & Nikos K. Logothetis (2003). Measuring Subjective Visual Perception in the Nonhuman Primate. Journal of Consciousness Studies 10 (9-10):115-130.
    Understanding how activity in the brain leads to a subjective percept is of great interest to philosophers and neuroscientists alike. In the last years, neurophysiological experiments have approached this problem directly by measuring neural signals in animals as they experience well-defined visual percepts. Stimuli in these studies are often inherently ambiguous, and thus rely upon the subjective report, generally from trained monkeys, to provide a measure of perception. By correlating activity levels in the brain to this report, one can speculate (...)
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  10. Alexander Maier, Melanie Wilke, Nikos K. Logothetis & David A. Leopold (2003). Perception of Temporally Interleaved Ambiguous Patterns. Current Biology.
    Background: Continuous viewing of ambiguous patterns is characterized by wavering perception that alternates between two or more equally valid visual solutions. However, when such patterns are viewed intermittently, either by repetitive presentation or by periodic closing of the eyes, perception can become locked or "frozen" in one configuration for several minutes at a time. One aspect of this stabilization is the possible existence of a perceptual memory that persists during periods in which the ambiguous stimulus is absent. Here, we use (...)
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  11. David A. Leopold, Melanie Wilke, Alexander Maier & Nikos K. Logothetis (2002). Stable Perception of Visually Ambiguous Patterns. Nature Neuroscience 5 (6):605-609.
    Correspondence should be addressed to David A. Leopold david.leopold@tuebingen.mpg.deDuring the viewing of certain patterns, widely known as ambiguous or puzzle figures, perception lapses into a sequence of spontaneous alternations, switching every few seconds between two or more visual interpretations of the stimulus. Although their nature and origin remain topics of debate, these stochastic switches are generally thought to be the automatic and inevitable consequence of viewing a pattern without a unique solution. We report here that in humans such perceptual alternations (...)
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  12. David A. Leopold & Nikos K. Logothetis (1999). Multistable Phenomena: Changing Views in Perception. Trends in Cognitive Sciences 3 (7):254-264.
    Traditional explanations of multistable visual phenomena (e.g. ambiguous figures, perceptual rivalry) suggest that the basis for spontaneous reversals in perception lies in antagonistic connectivity within the visual system. In this review, we suggest an alternative, albeit speculative, explanation for visual multistability – that spontaneous alternations reflect responses to active, programmed events initiated by brain areas that integrate sensory and non-sensory information to coordinate a diversity of behaviors. Much evidence suggests that perceptual reversals are themselves more closely related to the expression (...)
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  13. Nikos K. Logothetis (1999). Binocular Rivalry: A Window Onto Consciousness. Scientific American.
     
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  14. Antonio Damasio Churchland, Stephen Engel, Hans Flohr, Nick Franks, Melvyn Goodale, Valerie Hardcastle, Christof Koch, Nikos Logothetis, Thomas Metzinger & Ernst Poppel (1998). Conference on Neural Correlates of Consciousness: Empirical and Conceptual Questions. Consciousness and Cognition 7:108.
     
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  15. Nikos K. Logothetis (1998). Single Units and Conscious Vision. Philosophical Transactions of the Royal Society of London Series B-Biological Sciences 353:1801-1818.
    Logothetis, N.K.: Single units and conscious vision. Philosophical Transactions of the Royal Society of London Series B-Biological Sciences 353, 1801-1818 (1998) Abstract.
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  16. Nikos K. Logothetis & David A. Leopold (1998). Single-Neuron Activity and Visual Perception. In Stuart R. Hameroff, Alfred W. Kaszniak & A. C. Scott (eds.), Toward a Science of Consciousness II. MIT Press 2--309.
  17. D. L. Sheinberg & Nikos K. Logothetis (1997). The Role of Temporal Cortical Areas in Perceptual Organization. Proceedings of the National Academy of Sciences Usa 94:3408-3413.
  18. David A. Leopold & Nikos K. Logothetis (1996). Activity Changes in Early Visual Cortex Reflect Monkeys' Percepts During Binocular Rivalry. Nature 379 (6565):549-553.
  19. Nikos K. Logothetis, David A. Leopold & D. L. Sheinberg (1996). What is Rivalling During Binocular Rivalry? Nature 30 (6575):621-624.
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  20. Nikos K. Logothetis & Jeffrey D. Schall (1989). Neuronal Correlates of Subjective Visual Perception. Science 245:761-63.
  21. E. Pöppel & Nikos Logothetis (1988). Psychophysical Correlates of Physiological Functions. Behavioral and Brain Sciences 11 (2):308.
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