Learning Invariance from Transformation Sequences. - Peter Földiák (Neural Comput., 1991)

Learning generalisation and localisation: Competition for stimulus type and receptive field. - Mike W. Oram; Peter Földiák (Neurocomputing, 1996)

Stimulus optimisation in primary visual cortex. - Peter Földiák (Neurocomputing, 2001)

Bayesian bin distribution inference and mutual information. - Dominik Endres; Peter Földiák (IEEE Trans. Inf. Theory, 2005)

Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms. - Dominik Endres; Mike W. Oram; Johannes E. Schindelin; Peter Földiák (NIPS, 2007)

Interpreting the neural code with Formal Concept Analysis. - Dominik Endres; Peter Földiák (NIPS, 2008)

Exact Bayesian bin classification: a fast alternative to Bayesian classification and its application to neural response analysis. - Dominik Endres; Peter Földiák (J. Comput. Neurosci., 2008)

Sparse coding. - Peter Földiák; Dominik Endres (Scholarpedia, 2008)

An application of formal concept analysis to semantic neural decoding. - Dominik Maria Endres; Peter Földiák; Uta Priss (Ann. Math. Artif. Intell., 2009)

Neural-Symbolic Learning and Reasoning: Contributions and Challenges. - Artur S. d'Avila Garcez; Tarek R. Besold; Luc De Raedt; Peter Földiák; Pascal Hitzler; Thomas Icard; Kai-Uwe Kühnberger; Luís C. Lamb; Risto Miikkulainen; Daniel L. Silver (AAAI Spring Symposia, 2015)

300-sparsans at SemEval-2018 Task 9: Hypernymy as interaction of sparse attributes. - Gábor Berend; Márton Makrai; Peter Földiák (SemEval@NAACL-HLT, 2018)