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)

Attention selectively gates afferent signal transmission to area V4. bioRxiv (2015). doi:10.1101/019547
Grothe_2015.pdf (1.19 MB)

The neuronal input channel switched by attention reflects routing by coherence. COSYNE 2013 III-2 (2013).
Selective synchronization explains transfer characteristics of attention-dependent routing for broad-band flicker signals to monkey area V4. ECVP 2013 163 (2013).
Toward high performance, weakly invasive Brain Computer Interfaces using selective visual attention. The Journal of Neuroscience 33(14), 6001-6011 (2013).
JournalOfNeuroscience.pdf (3.25 MB)

Towards a Wireless and fully-implantable ECoG System. Transducers - The 17th International Conference on Solid-State Sensors, Actuators and Microsystems (2013).
A wireless and fully implantable recording system for ECoG signals. Göttingen Neurobiologentagung 2013 T27-2A (2013).
Interareal gamma-band synchronization in primate ventral visual pathway underlies signal routing during selective attention. Neuroscience 913.18/CCC65 (2012).
A wireless and fully implantable recording system for ECoG signals. Bernstein Conference 2012 231 (2012).
A wireless and fully implantable recording system for ECoG signals. Neuroscience 322.01 (2012).
Gating of visual processing by selective attention as observed in LFP data of monkey area V4. SfN International Neuroscience Meeting 2011 221.05 (2011).
2011_rotermund_sfn.pdf (21.92 KB)

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).
2011_rotermund_goe.pdf (59.93 KB)

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
2011_rotermund_bccn.pdf (62.9 KB)

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
2010_neitzel_bccn.pdf (73.68 KB)

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).
2009_schinkel_bmc.pdf (197.45 KB)

Field potentials from macaque area V4 predict attention in single trials with 100%. Bernstein Conference on Computational Neuroscience (BCCN2009) (2009). doi:10.3389/conf.neuro.10.2009.14.068
2009_rotermund_bccn.pdf (65.11 KB)

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. 8th Goettingen Meeting of the German Neuroscience Society / 32nd Goettingen Neurobiology Conference T26-13A (2009).
2009_rotermund_goe.pdf (23.68 KB)

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).
2009_rotermund_bmc_A.pdf (135.56 KB)

Human contour integration is optimized for natural images. SfN International Neuroscience Meeting 2008 568.25 (2008).
2008_schinkel_sfn.pdf (26.33 KB)

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).
2008_pawelzik_sfn.pdf (72.85 KB)

Structure of the neuronal interactions underlying human contour integration. Sixteenth Annual Computational Neuroscience Meeting: CNS*2007 8(Suppl 2):P77, (2007).
2007_schinkel_bmc.pdf (133.98 KB)

Contour detection from quasi-ideal contour integration. CNS - Computational Neuroscience Conference (2006).
2006_schinkel_cns.pdf (81.33 KB)

Neuroscience (2006).
Modeling systematic errors of human contour detection reveals new mechanisms of contour integration. SfN International Neuroscience Meeting 2006 604.1 (2006).
Neuronal mechanisms of contour integration investigated by combining psychophysical experiments with probabilistic modeling. Proceedings of the 30th Götingen Neurobiology Conference 434A (2005).
2005_mandon_goe.pdf (16.16 KB)

Systematic errors of contour detection are predicted by computational mechanisms for contour integration: Theory and Experiments. SfN International Neuroscience Meeting 2005 618.12 (2005).
How ideally do macaque monkeys integrate contours?. Neurocomputing 58-60, 971–977 (2004).
2003_ernst_neucom.pdf (195.72 KB)

Mechanisms and principles of contour integration revealed by combining psychophysical experiments with probabilistic modeling. Dynamic Perception Workshop 211–216 (IOS Press, 2004).
2004_ernst_dynperc.pdf (169.48 KB)

Mechanisms and principles of contour integration revealed by combining psychophysical experiments with probabilistic modelling. SfN International Neuroscience Meeting 2004 713.8 (2004).
Rapid contour integration of macaque monkeys and spiking neural networks. SfN International Neuroscience Meeting 2003 767.10 (2003).
2003_ernst_sfn.pdf (62.84 KB)
