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Valsala, P.: Electrical Impedance tomography. Bachelor, Anna University, Chennai, India (2014)

Brielmann, A.: Eine experimentelle Studie zur Vorstellung eines neuen standardisierten Stimulus-Sets zur Erfassung des Erkennens von Hilfsbedürftigkeit bei Kindern (NeoHelp) [An experimental study introducing a new standardized stimulus set for studying need-of-help recognition in children (NeoHelp)]. Bachelor, 99 pp., Universität Konstanz, Konstanz, Germany (2013)

International Brain Laboratory; Banga, K.; Boussard, J.; Chapuis, G.; Faulkner, M.; Harris, K.; Huntenburg, J.; Hurwitz, C.; Lee, H.; Paninski, L. et al.; Rossant, C.; Roth, N.; Steinmetz, N.; Windolf, C.; Winter, O.: Spike sorting pipeline for the International Brain Laboratory. (2022), 17 pp.

Meding, K.; Schulze Buschoff, L.; Geirhos, R.; Wichmann, F.: Trivial or impossible: dichotomous data difficulty masks model differences (on ImageNet and beyond). (submitted)

Avraham, G.; Taylor, J.; Breska, A.; Ivry, R.; McDougle, S.: Contextual effects in motor adaptation adhere to associative learning rules. (submitted)

Eckstein, M.; Master, S.; Dahl, R.; Wilbrecht, L.; Collins, A.: The Unique Advantage of Adolescents in Probabilistic Reversal: Reinforcement Learning and Bayesian Inference Provide Adequate and Complementary Models. (submitted)

Eckstein, M.; Master, S.; Dahl, R.; Wilbrecht, L.; Collins, A.: Understanding the Unique Advantage of Adolescents in Stochastic, Volatile Environments: Combining Reinforcement Learning and Bayesian Inference. (submitted)

Alon, N.; Meilijson, I.: Randomtime transformation analysis of Covid19 2020. (submitted)

Hinman, M.; Richardson, J.; Sockol, R.; Aronson, E.; Stednitz, S.; Murray, K.; Berglund, J.; Guillemin, K.: Zebrafish mbnl mutants model physical and molecular phenotypes of myotonic dystrophy. (submitted)

Feld, G.; Ngo, H.-V.; Durán, E.; Gebhardt, S.; Kleist, L.; Brugger, K.; Fritsche, A.; Born, J.; Hallschmid, M.: The gap junction blocker mefloquine impairs sleep-dependent declarative memory consolidation in humans. (submitted)

Bressler, S.; Liang, H.; Ding, M.; Desimone, R.; Fries, P.: Temporal Structure of Attention-Modulated Neuronal Synchronization in Macaque V4. Science Direct Working Paper, S1574-034X(04)70362-2 (2018)

Shi, D.; Shih, C.; Lo, C.; Lin, Y.; Chiang, A.: Detecting local processing unit in drosophila brain by using network theory. (submitted)

Howard-Jones, P.; Bogacz, R.; Lloyd, K.: To act or not to act: Learning the value of not acting. (2014)

Bokharaie, V.; Parsaee, G.: An Application of Joint Spectral Radius in Power Control Problem for Wireless Communications. (submitted)

Pilz, K.; Breidt, M.; Thornton, I.; Bülthoff, H.: Video capture of non-rigidly moving faces out of five different viewpoints. (2002)

Schölkopf, B.: Das Spiel mit dem künstlichen Leben. Frankfurter Allgemeine Zeitung: Wissenschaftsbeilage (1997)

Rodrigues, V.; Buchner, E.: Choline uptake in Drosophila melanogaster is linked to acetylcholine synthesis. Drosophila Information Service 61 p. 143 (1985)

Götz, K.; Biesinger, R.: Wind-controlled selection of motion detectors in the eyes of Drosophila melanogaster. Drosophila Information Service 59 pp. 39 - 40 (1983)

Bülthoff, H.: Isolation of sex-linked mutants disturbed in visual orientation. Drosophila Information Service 58 pp. 32 - 33 (1982)

Bülthoff, H.: Visual orientation of Drosophila mutants in a multiple Y-maze. Drosophila Information Service 58 p. 31 (1982)