Comprehensibility Improvement of Tabular Knowledge Bases. - Atsushi Sugiura; Maximilian Riesenhuber; Yoshiyuki Koseki (AAAI, 1993)

Analyzing the Formation of Structure in High-Dimensional Self-Organizing Maps Reveals Differences to Feature Map Models. - Maximilian Riesenhuber; Hans-Ulrich Bauer; Theo Geisel (ICANN, 1996)

Neural Models for Part-Whole Hierarchies. - Maximilian Riesenhuber; Peter Dayan (NIPS, 1996)

Analyzing phase transitions in high-dimensional self-organizing maps. - Maximilian Riesenhuber; Hans-Ulrich Bauer; Theo Geisel (Biol. Cybern., 1996)

SOM-Model for the Development of Oriented Receptive Fields and Orientation Maps from Non-oriented ON-center OFF-center Inputs. - Dirk Brockmann; Hans-Ulrich Bauer; Maximilian Riesenhuber; Theo Geisel (ICANN, 1997)

Just One View: Invariances in Inferotemporal Cell Tuning. - Maximilian Riesenhuber; Tomaso A. Poggio (NIPS, 1997)

Breaking Rotational Symmetry in a Self-Organizing Map-Model for Orientation Map Development. - Maximilian Riesenhuber; Hans-Ulrich Bauer; Dirk Brockmann; Theo Geisel (Neural Comput., 1998)

CBF: A New Framework for Object Categorization in Cortex. - Maximilian Riesenhuber; Tomaso A. Poggio (Biologically Motivated Computer Vision, 2000)

Visual Categorization: How the Monkey Brain Does It. - Ulf Knoblich; Maximilian Riesenhuber; David J. Freedman; Earl K. Miller; Tomaso A. Poggio (Biologically Motivated Computer Vision, 2002)

On the Role of Object-Specific Features for Real World Object Recognition in Biological Vision. - Thomas Serre; Maximilian Riesenhuber; Jennifer Louie; Tomaso A. Poggio (Biologically Motivated Computer Vision, 2002)

Attentional Selection for Object Recognition - A Gentle Way. - Dirk B. Walther; Laurent Itti; Maximilian Riesenhuber; Tomaso A. Poggio; Christof Koch (Biologically Motivated Computer Vision, 2002)

Robust Object Recognition with Cortex-Like Mechanisms. - Thomas Serre; Lior Wolf; Stanley M. Bileschi; Maximilian Riesenhuber; Tomaso A. Poggio (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Time Course of Shape and Category Selectivity Revealed by EEG Rapid Adaptation. - Clara A. Scholl; Xiong Jiang; Jacob G. Martin; Maximilian Riesenhuber (J. Cogn. Neurosci., 2014)

Uncovering phonological and orthographic selectivity across the reading network using fMRI-RA. - Laurie S. Glezer; Guinevere F. Eden; Xiong Jiang; Megan M. Luetje; Eileen M. Napoliello; Judy Kim; Maximilian Riesenhuber (NeuroImage, 2016)

Perceptual category learning and visual processing: An exercise in computational cognitive neuroscience. - George T. Cantwell; Maximilian Riesenhuber; Jessica L. Roeder; F. Gregory Ashby (Neural Networks, 2017)

Leveraging Prior Concept Learning Improves Generalization From Few Examples in Computational Models of Human Object Recognition. - Joshua S. Rule; Maximilian Riesenhuber (Frontiers Comput. Neurosci., 2020)

From shape to meaning: Evidence for multiple fast feedforward hierarchies of concept processing in the human brain. - Srikanth R. Damera; Jacob G. Martin; Clara A. Scholl; Judy Kim; Laurie S. Glezer; Patrick S. Malone; Maximilian Riesenhuber (NeuroImage, 2020)