Publications
Export 46 results:
Filters: Author is David Rotermund [Clear All Filters]
Open Hardware for neuro-prosthesis research: A study about a closed-loop multi-channel system for electrical surface stimulations and measurements. HardwareX 6 (2019) e00078, (2019).
HardwareX.pdf (135.71 KB)

Attention selectively gates afferent signal transmission to area V4. The Journal of Neuroscience 38 (14), 3441-3452 (2018).
JournalofNeurosci_2018.pdf (1.89 MB)

Generative models of visual cortex with short and long range horizontal interactions. Bernstein Conference 2017 (2017).
BCCN_2017_Capparelli.pdf (48.4 KB)

Open hardware for neuro-prosthesis research: A study about a closed-loop multi-channel system for electrical surface stimulations and measurements. ArXiv: http://biorxiv.org/content/early/2017/05/23/141184 (2017). doi:https://doi.org/10.1101/141184
141184.full_.pdf (7.1 MB)

Ongoing activity in a spiking network of visual cortical columns representing local optimal inference modules. Bernstein Conference 2016 (2016).
abstract_capparelli_BCCN2016.pdf (508.3 KB)

Marginally subcritical dynamics explain enhanced stimulus discriminality under attention. frontiers in SYSTEMS NEUROSCIENCE 8, Article 151, (2014).
toemen_frontiers_2014-1.pdf (1.85 MB)

Marginally subcritical dynamics explain enhanced stimulus discriminability under attention. 10th Bernstein Conference 2014 (2014). doi:10.12751/nncn.bc2014.0036
AbstractTomen_Goe2014.pdf (72.55 KB)

Attention improves information processing by tuning cortical networks towards critical states. Göttingen Meeting of the German Neuroscience Society T26-5B (2013).
Improved information processing under attention is explained by phase transitions in cortical dynamics. Brainmodes 2013 (2013).
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 163 (2013).
Toward high performance, weakly invasive Brain Computer Interfaces using selective visual attention. The Journal of Neuroscience 33(14), 6001-6011 (2013).
Interareal gamma-band synchronization in primate ventral visual pathway underlies signal routing during selective attention. Neuroscience New Orleans 913.18/CCC65 (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).
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).
High-performance classification of contour percepts from EEG recordings. 19th Annual Computational Neuroscience Meeting CNS 12(Suppl 1):P94, (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).
Decoding perceptual states of ambiguous motion from high gamma EEG. Bernstein Conference on Computational Neuroscience (BCCN2009) (2009). doi:doi: 10.3389/conf.neuro.10.2009.14.102
Enhancing information processing by synchronization. SfN International Neuroscience Meeting 2009 758.24 (2009).
Enhancing information processing by synchronization. 18th Annual Computational Neuroscience Meeting (CNS 2009) 10(Suppl 1):P268, (2009).
Enhancing information processing by synchronization. Bernstein Conference on Computational Neuroscience (BCCN2009) (2009). doi:10.3389/conf.neuro.10.2009.14.043
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
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).
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. 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).
Attention improves object discriminability in monkey area V4. CNS - Computational Neuroscience Conference S2 (2006).
FENS 2006 9915010554 (2006).
On-line adaptation of neuro-prostheses with neuronal evaluation signals. Proceedings ESANN’06 53–62 (d-side, Evere, Belgium, 2006).
Towards on-line adaptation of neuro-prostheses with neuronal evaluation signals. SfN International Neuroscience Meeting 2006 13.13 (2006).
Towards on-line adaptation of neuro-prosthesis with neuronal evaluation signals. Biological Cybernetics 95 (3), 243–257 (2006).
Attention improves object encoding in monkey area V4. SfN International Neuroscience Meeting 2005 591.6 (2005).
Processing natural images with single spikes. Proceedings of the 30th Göttingen Neurobiology Conference 445A (2005).
An algorithm for fast pattern recognition with random spikes. 26th DAGM Symposium Pattern Recognition (Lecture Notes in Computer Science 3175), 399–406 (Springer-Verlag Berlin/Heidelberg, 2004).
Computing spike-by-spike. Dynamic Perception Workshop 145–150 (IOS Press, 2004).
A novel framework for universal adaptive computation in a cortex model with stochastic spikes. 4th Forum of European Neuroscience (FENS) 142.1 (2004).
Building representations spike by spike. Neural Information and Coding Workshop (2003).
Building representations spike by spike. Proceedings of the 29th Göttingen Neurobiology Conference 1041 (2003).
Building representations spike by spike. Society of Neuroscience Conference 2002 557.12 (2002).