Phase transitions in a probabilistic cellular neural network model having local and remote connections. - Marko Puljic; Robert Kozma 001 (IJCNN, 2003)

Neuropercolation: A Random Cellular Automata Approach to Spatio-temporal Neurodynamics. - Robert Kozma 001; Marko Puljic; Paul Balister; Béla Bollobás; Walter J. Freeman (ACRI, 2004)

Phase transitions in the neuropercolation model of neural populations with mixed local and non-local interactions. - Robert Kozma 001; Marko Puljic; Paul Balister; Béla Bollobás; Walter J. Freeman (Biol. Cybern., 2005)

Activation clustering in neural and social networks. - Marko Puljic; Robert Kozma 001 (Complex., 2005)

Genome Regions Involved in Multiple Regulatory Pathways Identified Using GSEL, A Genome-Wide Database of Regulatory Sequence Elements of Geobacter sulfurreducens. - Julia Krushkal; Marko Puljic; Bin Yan; Jose F. Barbe; Radhakrishnan Mahadevan; Bradley Postier; Regina A. O'Neil; Gemma Reguera; Ching Leang; Laurie N. DiDonato; Cinthia Núñez; Barbara A. Methé; et al. (BMEI (1), 2008)

Chaotic behavior in probabilistic cellular neural networks. - Robert Kozma 001; Marko Puljic (IJCNN, 2010)

Broad-band Oscillations by Probabilistic Cellular Automata. - Marko Puljic; Robert Kozma 001 (J. Cell. Autom., 2010)

Learning Effects in Coupled Arrays of Cellular Neural Oscillators. - Robert Kozma 001; Marko Puljic (Cogn. Comput., 2013)

Site Percolation on Multi-dimensional Lattices. - Marko Puljic (CoRR, 2013)

Hierarchical random cellular neural networks for system-level brain-like signal processing. - Robert Kozma 001; Marko Puljic (Neural Networks, 2013)

Modeling learning and strategy formation as phase transitions in cortical networks. - Robert Kozma 001; Yury Sokolov; Marko Puljic; Sanqing Hu; Miklós Ruszinkó (SMC, 2016)

Pattern-based computing via sequential phase transitions in hierarchical mean field neuropercolation. - Robert Kozma 001; Marko Puljic (Theor. Comput. Sci., 2016)