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Nilges, M.; Markwick , P.; Malliavin, T.; Rieping, W.; Habeck, M.: New Frontiers in Characterizing Structure and Dynamics by NMR. In: Computational Structural Biology: Methods and Applications, pp. 655 - 679 (Eds. Schwede, T.; Peitsch, M.). World Scientific, New Jersey, NJ, USA (2008)

Daw, N.; Courville, A.; Dayan, P.: Semi-rational models of conditioning: The case of trial order. In: The Probabilistic Mind: Prospects for Bayesian cognitive science$, 19, pp. 427 - 448 (Eds. Chater, N.; Oaksford, M.). Oxford University Press, Oxford, UK (2008)

Franz, M.; Stürzl, W.; Hübner, W.; Mallot, H.: A Robot System for Biomimetic Navigation: From Snapshots to Metric Embeddings of View Graphs. In: Robotics and Cognitive Approaches to Spatial Mapping, pp. 297 - 314 (Eds. Jefferies, M.; Yeap, W.-K.). Springer, Berlin, Germany (2008)

Hoffman, K.: A face in the crowd: which groups of neurons process face stimuli, and how do they interact? In: Information Processing by Neuronal Populations, 13, pp. 326 - 349 (Eds. Hölscher, C.; Munk, M.). Cambridge University Press, Cambridge, UK (2008)

Hölscher, C.; Munk, M.: Summary of chapters, conclusion, and future targets. In: Information processing by neuronal populations, 18, pp. 433 - 469 (Eds. Hölscher, C.; Munk, M.). Cambridge University Press, Cambridge, UK (2008)

Kirschfeld, K.: Die Hierarchie von Gehirn und Geist. In: Was bedeutet Leben?: Beiträge aus den Geisteswissenschaften, IX, pp. 243 - 268 (Ed. Baumann, U.). Lembeck, Frankfurt a. M., Germany (2008)

Lovell, B.; Walder, C.: Support Vector Machines for Business Applications. In: Mathematical methods for knowledge discovery and data mining, pp. 82 - 100 (Eds. Felici, G.; Vercellis, C.). Information Science Reference, Hershey, PA, USA (2008)

Munk, M.: Distributed population codes in sensory and memory representations of the neocortex. In: Information processing by neuronal populations, 9, pp. 192 - 223 (Eds. Hölscher, C.; Munk, M.). Cambridge University Press, Cambridge, UK (2008)

Nielsen, K.; Rainer, G.: Using spikes and local field potentials to reveal computational networks in monkey cortex. In: Information processing by neuronal populations, 14, pp. 350 - 362 (Eds. Hölscher, C.; Munk, M.). Oxford University Press, Oxford, UK (2008)

Noppeney, U.: The sensory-motor theory of semantics: Evidence from functional imaging. In: Some Aspects of Speech and the Brain, 8, pp. 177 - 210 (Eds. Fuchs, S.; Loevenbruck, H.; Pape, D.; Perrier, P.). Lang, Frankfurt a.M., Germany (2008)

Petkov, C.; Kayser, C.; Logothetis, N.: Lost without a map: Pursuing primate homologies with functional imaging. In: Research topics on brain mapping, VIII, pp. 175 - 194 (Ed. Liáng, Y.). Nova Science Publ., New York, NY, USA (2008)

Platt, M.; Dayan, P.; Dehaene, S.; McCabe, H.; Menzel, R.; Phelps, E.; Plassmann, H.; Ratcliff, R.; Shadlen, M.; Singer, W.: Neuronal Correlates of Decision Making. In: Better than conscious?: decision making, the human mind, and implications for institutions, 6 (Eds. Engel, C.; Singer, W.). MIT Press, Cambridge, MA, USA (2008)

Altun, Y.; Hofmann, T.; Tsochantaridis, I.: Support Vector Machine Learning for Interdependent and Structured Output Spaces. In: Predicting Structured Data, pp. 85 - 104 (Eds. Bakır, G.; Hofmann, T.; Schölkopf, B.; Smola, A.; Taskar, B. et al.). MIT Press, Cambridge, MA, USA (2007)

Altun, Y.; Smola, A.: Density Estimation of Structured Outputs in Reproducing Kernel Hilbert Spaces. In: Predicting Structured Data, pp. 283 - 300 (Eds. Bakır, G.; Hofmann, T.; Schölkopf, B.; Smola, A.; Taskar, B. et al.). MIT Press, Cambridge, MA, USA (2007)

Hill, N.; Lal, T.; Tangermann, M.; Hinterberger , T.; Widmann, G.; Elger, C.; Schölkopf, B.; Birbaumer, N.: Classifying Event-Related Desynchronization in EEG, ECoG and MEG signals. In: Toward Brain-Computer Interfacing, pp. 235 - 260 (Eds. Dornhege, G.; Millán , J.; Hinterberger, T.; McFarland, J.; Müller, K.-R.). MIT Press, Cambridge, MA, USA (2007)

Hinterberger, T.; Nijboer, F.; Kübler, A.; Matuz, T.; Furdea, A.; Mochty, U.; Jordan, M.; Lal, T.; Hill, J.; Meilinger, J. et al.; Bensch, M.; Tangermann, M.; Widman, G.; Elger, C.; Rosenstiel, W.; Schölkopf, B.; Birbaumer, N.: Brain-Computer Interfaces for Communication in Paralysis: A Clinical Experimental Approach. In: Toward Brain-Computer Interfacing, pp. 43 - 64 (Eds. Dornhege, G.; Millán , J.; Hinterberger, T.; McFarland, D.; Müller, K.-R.). MIT Press, Cambridge, MA, USA (2007)

Weston, J.; Bakir, G.; Bousquet, O.; Mann, T.; Noble, W.; Schölkopf, B.: Joint Kernel Maps. In: Predicting Structured Data, pp. 67 - 84 (Eds. Bakır, G.; Hofmann, T.; Schölkopf, B.; Smola, A.; Taskar, B. et al.). MIT Press, Cambridge, MA, USA (2007)

Chapelle, O.: Training a Support Vector Machine in the Primal. In: Large Scale Kernel Machines, pp. 29 - 50 (Eds. Bottou, L.; Chapelle, O.; DeCoste, D.; Weston, J.). MIT Press, Cambridge, MA, USA (2007)

Collobert, R.; Sinz, F.; Weston, J.; Bottou, L.: Trading Convexity for Scalability. In: Large Scale Kernel Machines, pp. 275 - 300 (Eds. Bottou, L.; Chapelle, O.; DeCoste, D.; Weston, J.). MIT Press, Cambridge, MA, USA (2007)

Jegelka, S.; Gretton, A.: Brisk Kernel ICA. In: Large Scale Kernel Machines, pp. 225 - 250 (Eds. Bottou, L.; Chapelle, O.; DeCoste, D.; Weston, J.). MIT Press, Cambridge, MA, USA (2007)