Publications of NK Logothetis

Smirnakis, S.; Tolias, A.; Logothetis, N.: Motion Perception. In: Encyclopedia of Neuroscience, 3. Ed., pp. 100 - 115 (Eds. Adelman, G.; Smith, B.). Elsevier, Amsterdam, Netherlands (2004)

Rainer, G.; Logothetis, N.: Vision, Behavior and the Single Neuron. In: The neuropsychology of vision, pp. 3 - 22. Oxford University Press, Oxford, UK (2003)

Logothetis, N.: Neuronale Implementierung der Objekt- und Gesichtserkennung. In: Neuropsychologie, pp. 107 - 118 (Eds. Karnath, H.-O.; Thier, P.). Springer, Berlin, Germany (2003)

Logothetis, N.; Leopold, D.; Sheinberg, D.: Neural mechanisms of perceptual organization. In: Neural Basis of Consciousness, 6, pp. 87 - 103 (Ed. Osaka, N.). Benjamins, Amsterdam, The Netherlands (2003)

Rainer, G.; Logothetis, N.: Vision, behaviour, and the single neuron. In: Neuropsychology of vision, 1, pp. 3 - 22 (Eds. Fahle, M.; Greenlee, M.). Oxford University Press, Oxford, UK (2003)

Tolias, A.; Kourtzi, Z.; Logothetis, N.: Functional magnetic resonance imaging adaptation: a technique for studying the properties of neuronal networks. In: Exploratory analysis and data modeling in functional neuroimaging, pp. 109 - 125 (Eds. Sommer, F.; Wichert, A.). MIT Press, Cambridge, MA, USA (2002)

Sheinberg, D.; Logothetis, N.: Perceptual Learning and the Development of Complex Visual Representation in Temporal Cortical Neurons. In: Perceptual learning, pp. 95 - 124 (Eds. Fahle, M.; Poggio, T.). MIT Press, Cambridge, MA, USA (2002)

Logothetis, N.; Sheinberg, D.: Recognition and Representation of visual objects in primates: Psychophysics and Physiology. In: The mind-brain continuum: sensory processes, 8, pp. 147 - 172 (Ed. Llinás, R.). MIT Press, Cambridge, MA, USA (1996)

Pauls, J.; Bricolo, E.; Logothetis, N.: View Invariant Representations in Monkey Temporal Cortex: Position, Scale, and Rotational Invariance. In: Early Visual Learning, pp. 9 - 41 (Eds. Nayar, S.; Poggio, T.). Oxford University Press, Oxford, UK (1996)

Logothetis, N.: Physiological Studies of Motion Inputs. In: Visual detection of motion, pp. 177 - 216 (Ed. Smith, A.). Academic Press, London, UK (1994)

Cruzat, J.; Cabral, J.; Moos Knudsen, G.; Carhart-Harris, R.; Whybrow, P.; Logothetis, N.; Kringelbach, M.; Deco , G.: Mechanisms of the non-linear interactions between the neuronal and neurotransmitter systems explained by causal whole-brain modeling. In: Conference on Cognitive Computational Neuroscience (CCN 2019), PS-1B.12, pp. 295 - 298. Conference on Cognitive Computational Neuroscience (CCN 2019), Berlin, Germany, September 13, 2019 - September 16, 2019. (2019)

Fathizadeh, F.; Mitricheva, E.; Kimura, R.; Logothetis, N.; Noori, H.: Signal detection in extracellular neural ensemble recordings using higher criticism. In: IEEE-EMBS International Conference on Biomedical and Health Informatics (IEEE-EMBS BHI 2019), BHI-T-103, pp. 1 - 5. IEEE-EMBS International Conference on Biomedical and Health Informatics (IEEE-EMBS BHI 2019), Chicago, IL, USA, May 19, 2019 - May 22, 2019. Curran, Red Hook, NY, USA (2019)

Besserve, M.; Logothetis, N.; Schölkopf, B.: Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. In: Advances in Neural Information Processing Systems 26, pp. 2535 - 2543 (Eds. Burges, C.; Bottou, L.; Welling, M.; Ghahramani, Z.; Weinberger, K.Q.). Twenty-Seventh Annual Conference on Neural Information Processing Systems (NIPS 2013), Lake Tahoe, NV, USA. Curran, Red Hook, NY, USA (2014)

Logothetis, N.: What We Can and What We Can’t Do with fMRI. In: Society for Neuroscience: 2012 Short Course II MRI and Advanced Imaging in Animals and Humans, pp. 7 - 14. Society for Neuroscience: 2012 Short Course II MRI and Advanced Imaging in Animals and Humans, New Orleans, LA, USA, October 12, 2012. (2012)

Biessmann, F.; Murayama, Y.; Logothetis, N.; Müller, K.-R.; Meinecke, F.: Non-separable Spatiotemporal Brain Hemodynamics Contain Neural Information. In: Machine Learning and Interpretation in Neuroimaging, pp. 140 - 147 (Eds. Langs, G.; Rish, I.; Murphy, B.). NIPS Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI 2011), Sierra Nevada, Spain, December 16, 2011 - December 17, 2011. Springer, Berlin, Germany (2012)

Sultan, F.; Augath, M.; Murayama, Y.; Tolias, A.; Logothetis, N.: esfMRI of the upper STS: further evidence for the lack of electrically induced polysynaptic propagation of activity in the neocortex. International School on Magnetic Resonance and Brain Function: IX Workshop 2011, Erice, Italy, May 09, 2010 - May 16, 2010. Magnetic Resonance Imaging 29 (10), pp. 1374 - 1381 (2011)

Besserve, M.; Janzing, D.; Logothetis, N.; Schölkopf, B.: Finding dependencies between frequencies with the kernel cross-spectral density. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), pp. 2080 - 2083. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), Praha, Czech Republic, May 22, 2011 - May 27, 2011. IEEE, Piscataway, NJ, USA (2011)

Zhang, H.; Logothetis, N.; Liang, H.: Predicting perceptual suppression from local field potential in visual cortex. In: 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 6802 - 6805. 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2009), Minneapolis, MN, USA , September 03, 2009 - September 06, 2009. IEEE, Piscataway, NJ, USA (2009)

Wang, Z.; Logothetis, N.; Liang, H.: Percept-related cortical induced activity during bistable perception. In: 2009 International Joint Conference on Neural Networks, pp. 3289 - 3296. 2009 International Joint Conference on Neural Networks (IJCNN 2009), Atlanta, GA, USA , June 14, 2009 - June 19, 2009. IEEE, Piscataway, NJ, USA (2009)

Wang, Z.; Maier, A.; Logothetis, N.; Liang, H.: Single-trial bistable perception classification based on sparse nonnegative tensor decomposition. In: 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), pp. 1041 - 1048. International Joint Conference on Neural Networks (IJCNN 2008), Hong Kong, China, June 01, 2008 - June 08, 2008. IEEE, Piscataway, NJ, USA (2008)