Publications
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Attention selectively gates afferent signal transmission to area V4. The Journal of Neuroscience 38 (14), 3441-3452 (2018).
JournalofNeurosci_2018.pdf (1.89 MB)
JournalofNeurosci_2018.pdf (1.89 MB) The neuronal input channel switched by attention reflects routing by coherence. COSYNE 2013 III-2 (2013).
Gating of visual processing by selective attention as observed in LFP data of monkey area V4. SfN International Neuroscience Meeting 2011 221.05 (2011).
Gating Of Visual Processing By Selective Attention As Observed In LFP Data Of Monkey Area V4. 9th Goettingen Meeting of the German Neuroscience Society / 33nd Goettingen Neurobiology Conference T24-3B (2011).
Routing of information flow by selective visual attention in LFPs of monkey area V4. Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting (2011). doi:10.3389/conf.fncom.2011.53.00055
Discriminability of direction of attention with and without stimuli based on V4 epidural recordings: A perspective for high-performance brain-computer interfaces. SfN International Neuroscience Meeting 2010 631.3 (2010).
Highly selective processing of temporal information from attended stimuli in macaque’s visual area V4. Bernstein Conference on Computational Neuroscience (2010). doi:doi: 10.3389/conf.fncom.2010.51.00103
Attention Improves Object Representation in Visual Cortical Field Potentials. Journal of Neuroscience 29 (32), 10120–10130 (2009).
Can reduced contour detection performance in the periphery be explained by larger integration fields. 18th Annual Computational Neuroscience Meeting (CNS 2009) 10(Suppl 1): P360, (2009).
Phase differences in local field potentials from macaque monkey area V4 predict attentional state in single trials with 99.6% accuracy. 8th Goettingen Meeting of the German Neuroscience Society / 32nd Goettingen Neurobiology Conference T26-13A (2009).
Phase differences in local field potentials from macaque monkey area V4 predict attentional state in single trials with 99.6% accuracy. Berlin Brain Computer Interface (BBCI) 2009 - Advances in Neurotechnology (2009).
Phase differences in local field potentials from macaque monkey area V4, predict attentional state in single trials with 99.6% accuracy. German-Japanese workshop 2009 (2009).
Phase differences in local field potentials from macaque monkey area V4 predict attentional state in single trials with 99.6% accuracy. 18th Annual Computational Neuroscience Meeting (CNS 2009) 10 (Suppl 1): P230, (2009).
Human contour integration is optimized for natural images. SfN International Neuroscience Meeting 2008 568.25 (2008).
Phase differences in local field potentials from macaque monkey area V4 predict attentional state in single trials with 99.6% accuracy. SfN International Neuroscience Meeting 2008 590.20 (2008).
Attention improves object representation in monkey area V4. Goettingen Neurobiology Conference T32-1A (2007).
Attention in monkey area V4 is modulated by task demand. SfN International Neuroscience Meeting 2007 176.1 (2007).
Structure of the neuronal interactions underlying human contour integration. Sixteenth Annual Computational Neuroscience Meeting: CNS*2007 8(Suppl 2):P77, (2007).
Attention improves object discriminability in monkey area V4. CNS - Computational Neuroscience Conference S2 (2006).
FENS 2006 9915010554 (2006).
Contour detection from quasi-ideal contour integration. CNS - Computational Neuroscience Conference (2006).
Neuroscience (2006).
Modeling systematic errors of human contour detection reveals new mechanisms of contour integration. SfN International Neuroscience Meeting 2006 604.1 (2006).
Attention improves object encoding in monkey area V4. SfN International Neuroscience Meeting 2005 591.6 (2005).
Neuronal mechanisms of contour integration investigated by combining psychophysical experiments with probabilistic modeling. Proceedings of the 30th Götingen Neurobiology Conference 434A (2005).
Systematic errors of contour detection are predicted by computational mechanisms for contour integration: Theory and Experiments. SfN International Neuroscience Meeting 2005 618.12 (2005).
Mechanisms and principles of contour integration revealed by combining psychophysical experiments with probabilistic modelling. SfN International Neuroscience Meeting 2004 713.8 (2004).
Mechanisms and principles of contour integration revealed by combining psychophysical experiments with probabilistic modeling. Dynamic Perception Workshop 211–216 (IOS Press, 2004).
Rapid contour integration of macaque monkeys and spiking neural networks. SfN International Neuroscience Meeting 2003 767.10 (2003).
Shine-through – dynamical effects. Dynamics and adaptivity of neuronal Systems – integrative approaches to analyzing cognitive functions (Symposium) (2001).
Identifying oscillatory and stochastic neuronal behavior with high temporal precision in macaque monkey visual cortex. CNS 1996 Proceedings of the Conference on Computational Neuroscience () 293–298 (Kluwer Academic Publishers,f Boston, Dordrecht, London, 1997).