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Challenges in clustering C. elegans neurons using computational approaches., , , and . IJCNN, page 4775-4781. IEEE, (2016)A spiking neuronal network model of the dorsal raphe nucleus., , and . IJCNN, page 1591-1598. IEEE, (2011)A multi-class brain-computer interface with SOFNN-based prediction preprocessing., , and . IJCNN, page 3696-3703. IEEE, (2008)Robospike Sensory Processing for a Mobile Robot Using Spiking Neural Networks., , and . ICANN (2), volume 5769 of Lecture Notes in Computer Science, page 794-803. Springer, (2009)Si elegans - Computational Modelling of C. elegans Nematode Nervous System using FPGAs., , and . NEUROTECHNIX, page 169-176. SciTePress, (2014)Quantifying the role of complexity in a system's performance., and . Evol. Syst., 2 (3): 189-198 (2011)Modeling architectures for VLSI Implementations of Fuzzy Logic Systems., , , and . Inf. Sci., 115 (1-4): 1-9 (1999)Automatically composing and parameterizing skills by evolving Finite State Automata., and . Robotics Auton. Syst., 60 (4): 639-650 (2012)Re-Programmable MVL Circuits and Architecture to Enable Evolvable MVL Hardware., , and . J. Multiple Valued Log. Soft Comput., 9 (4): 319-342 (2003)Knowledge Discovery in Databases with Diversity of Data Types., , , and . Encyclopedia of Data Warehousing and Mining, IGI Global, (2009)