This is a research course tailored to the needs of the current students enrolled, there is no strictly set syllabus. Following is a list of the topics which will be covered in depth in this course: Extended ASOCS coverage, Hamming Networks, Learning by a critic and the Associate Search Network, Genetic Algorithms, Self Organizing Topological Feature Maps, Counterpropagation networks, BAM’s (bidirectional associative memories), Boolean Networks, RCE’s (Restricted Coloumb Energy Networks), Implementation of actual applications in neural networks.