Grundlagen zellulärer Erregbarkeit
B. Fakler, P.M. Jonas, in:, R. Schmidt, M. Heckmann, F. Lang (Eds.), Physiologie Des Menschen, Springer, 2010, pp. 49–75.

Intra-operative ultrasound facilitates the localization of the calcific deposit during arthroscopic treatment of calcifying tendinitis
M. Sabeti Aschraf, C. Gonano, E. Nemecek, L. Cichocki, C. Schueller Weidekamm, Knee Surgery, Sports Traumatology, Arthroscopy 18 (2010) 1792–1794.

High-frequency network activity, global increase in neuronal activity, and synchrony expansion precede epileptic seizures in vitro
P. Jiruska, J.L. Csicsvari, A. Powell, J. Fox, W. Chang, M. Vreugdenhil, X. Li, M. Palus, A. Bujan, R. Dearden, J. Jefferys, Journal of Neuroscience 30 (2010) 5690–5701.

Imaging zebrafish embryos by two-photon excitation time-lapse microscopy
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A new model for large-scale population dynamics: quantifying phylogeography 
N.H. Barton, J. Kelleher, A. Etheridge, Evolution; International Journal of Organic Evolution 64 (2010) 2701–2715.

Investigating temporal changes in hybridisation and introgression between invasive sika (Cervus nippon) and native red deer (Cervus elaphus) on the Kintyre Peninsula, Scotland
H. Senn, S. Goodman, G. Swanson, N.H. Barton, J. Pemberton, Molecular Ecology 19 (2010) 910–924.

Topic models for semantic video compression
J. Wanke, A. Ulges, C. Lampert, T. Breuel, in:, ACM, 2010, pp. 275–284.

Optimizing one-shot recognition with micro-set learning
K. Tang, M. Tappen, R. Sukthankar, C. Lampert, in:, IEEE, 2010, pp. 3027–3034.

Global interactions in random field models: A potential function ensuring connectedness
S. Nowozin, C. Lampert, SIAM Journal on Imaging Sciences 3 (2010) 1048–1074.

Unsupervised object discovery: A comparison
T. Tuytelaars, C. Lampert, M. Blaschko, W. Buntine, International Journal of Computer Vision 88 (2010) 284–302.

Movement templates for learning of hitting and batting
J. Kober, K. Mülling, O. Krömer, C. Lampert, B. Schölkopf, J. Peters, in:, IEEE, 2010, pp. 853–858.

An efficient divide-and-conquer cascade for nonlinear object detection
C. Lampert, in:, IEEE, 2010, pp. 1022–1029.

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J. Guzmán, H. Schmidt, H. Franke, U. Krügel, J. Eilers, P. Illes, Z. Gerevich, Neuropharmacology 59 (2010) 406–415.

Lumpability abstractions of rule-based systems
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Local statistics in natural scenes predict the saliency of synthetic textures
G. Tkadik, J. Prentice, J. Victor, V. Balasubramanian, PNAS 107 (2010) 18149–18154.

Optimal population coding by noisy spiking neurons
G. Tkadik, J. Prentice, V. Balasubramanian, E. Schneidman, PNAS 107 (2010) 14419–14424.

Optimizing information flow in small genetic networks. II. Feed-forward interactions
A. Walczak, G. Tkadik, W. Bialek, Physical Review E Statistical Nonlinear and Soft Matter Physics 81 (2010).

From statistical mechanics to information theory: understanding biophysical information-processing systems
G. Tkadik, ArXiv q-MN (2010) 1–52.

Interdependence of behavioural variability and response to small stimuli in bacteria
H. Park, W. Pontius, C.C. Guet, J. Marko, T. Emonet, P. Cluzel, Nature 468 (2010) 819–823.

Fine-tuning of chemotactic response in E. coli determined by high-throughput capillary assay
H. Park, C.C. Guet, T. Emonet, P. Cluzel, Current Microbiology 62 (2010) 764–769.