Langevin machine: a neural network based on stochastically justifiable sigmoidal function. - Perambur S. Neelakanta; Raghavan Sudhakar; Dolores DeGroff (Biol. Cybern., 1991)

Stochastical aspects of neuronal dynamics: Fokker-Planck approach. - Dolores F. De Groff; Perambur S. Neelakanta; Raghavan Sudhakar; Valentine Aalo (Biol. Cybern., 1993)

A Liquid-Crystal Model for Neural Networks. - Dolores F. De Groff; Perambur S. Neelakanta; Raghavan Sudhakar; Fernando Medina (Complex Syst., 1993)

Dynamic Properties of Neural Learning in the Information-theoretic Plane. - Perambur S. Neelakanta; Salahalddin T. Abusalah; Raghavan Sudhakar; Dolores F. De Groff; Valentine Aalo; Joseph C. Park (Complex Syst., 1995)

Information-theoretics Based Error-metrics for Gradient Descent Learning in Neutral Networks. - Joseph C. Park; Perambur S. Neelakanta; Salahalddin T. Abusalah; Dolores F. De Groff; Raghavan Sudhakar (Complex Syst., 1995)

Fuzzy nonlinear activity and dynamics of fuzzy uncertainty in the neural complex. - Perambur S. Neelakanta; Salahalddin T. Abusalah; Dolores F. De Groff; Joseph C. Park (Neurocomputing, 1998)

Heuristics of AI-Based Search Engines for Massive Bioinformatic Data-Mining: An Example of Codon/Noncodon Delineation Search in a Binary DNA Sequence. - Perambur S. Neelakanta; Shivani Pandya; Tomás Vidal Arredondo; Dolores F. De Groff (IICAI, 2003)

Redundancy Attributes of a Complex System: Application to Bioinformatics. - Perambur S. Neelakanta; Tomás Vidal Arredondo; Dolores DeGroff (Complex Syst., 2003)

Fuzzy attributes of a DNA complex: Development of a fuzzy inference engine for codon-"junk" codon delineation. - Tomás Vidal Arredondo; Perambur S. Neelakanta; Dolores F. De Groff (Artif. Intell. Medicine, 2005)