direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Search in All Publications

Search for publications




All Publications by GRK Members

B

Bießmann, F., Meinecke, F.C., Gretton, A., Rauch, A., Rainer, G., Logothetis, N.K., and Müller, K.R. (2010). Temporal kernel CCA and its application in multimodal neuronal data analysis. Machine Learning Journal, 5-27.


Bießmann, F., Meinecke, F.C., Bhattacharyya, A., Veit, J., Kretz, R., Müller, K.-R., and Rainer, G. (2010). Comparison of V1 Receptive Fields Mapped with Spikes and Local Field Potentials. Computational and Systems Neuroscience (COSYNE)


Bießmann, F., Hill, N.J., Farquhar, J., and Schölkopf, B. (2007). Better Codes for the P300 Visual Speller. Göttingen Meeting of the German Neuroscience Society


Bießmann, F., Gretton, A., Meinecke, F.C., Rainer, G., Müller K.-R., Logothetis, N., and Rauch, A. (2009). Investigating neurovascular coupling using canonical correlation analysis between pharmacological MRI and electrophysiology. BMC Neuroscience 2009, P86.


Bießmann, F. (2012). Data-driven analysis for multimodal neuroimaging. Technische Universität Berlin


Bießmann, F., and Harth, A. (2010). Analysing Dependency Dynamics in Web Data. Proceedings of AAAI Spring Symposium "Linked Data Meets Artificial Intelligence"


Bießmann, F., Murayama, Y., Logothetis, N.K., Müller, K.-R., and Meinecke, F.C. (2012). Spatiotemporal searchlights improve decoding of intracranial neural activity from fMRI signals. to appear in Lecture Notes in Artificial Intelligence


Bießmann, F., Dähne, S., Meinecke, F.C., Blankertz, B., Görgen, K., Müller, K.-R., and Haufe, S. (2012). On the interpretability of linear multivariate neuroimaging analyses: Filters, patterns and their relationship. NIPS Workshop on Machine Learning and Inference in Neuroimaging


Bhattacharyya, A., Bießmann, F., Veit, J., Kretz., R., and Rainer, G. (2012). Functional and laminar dissociations between muscarinic and nicotinic neuromodulation in the tree shrew primary visual cortex. Eur J Neurosci, 1270-80.


Betz, T., Maertens, M., and Wichmann, F.A. (2013). Spatial ltering vs edge integration: comparing two computational models of lightness perception. European Conference on Visual Perception


Betz, T., and Maertens, M. (2012). Perception of angles between surfaces is biased towards right angles. European Conference on Visual Perception


Betkiewicz, R., Ladenbauer, J., Mergenthaler, K., and Obermayer, K. (2012). E ects of spiketiming dependent plasticity on network dynamics in a primary visual cortex model. Frontiers in Computationas Neuroscience. Conference Abstract: Bernstein Conference


Betkiewicz, R., Schmuker, M., Farkhooi, F., and Nawrot, M.P. (2013). A model for sparse and reliable encoding of olfactory cues in the honeybee. 11th Gottingen Meeting of the German Neuroscience Society


Behrend, O., Branoner, F., Zhivkov, Z., and Ziehm, U. (2006). Neural Responses to Water Surface Waves in the Midbrain of the Aquatic Predator Xenopus Laevis Laevis. Eur J Neurosci., 729-44.


Behrend, O., Branoner, F., Ziehm, U., and Zhivkov, Z. (2008). Lateral Line Units in the Amphibian Brain Could Integrate Wave Curvatures. J Comp Physiol A Neuroethol Sens Neural Behav Physiol., 777-83.


To top

Import Publication

Upload BibTeX

Export all entries to BibTex

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Auxiliary Functions