Spiking Neural P Systems Theory Applications And Implementations 2024th Edition Gexiang Zhang by Gexiang Zhang, Sergey Verlan, Tingfang Wu, Francis George C. Cabarle, Jie Xue, David Orellana-martín, Jianping Dong, Luis Valencia-cabrera, Mario J. Pérez-jiménez 9789819792818, 9819792819 instant download after payment.

Spiking neural P systems represent a significant advancement in the field of membrane computing, drawing inspiration from the communication patterns observed in neurons. Since their inception in 2006, these distributed and parallel neural-like computing models have gained popularity and emerged as important tools within the membrane computing area. As a key branch of the third generation of artificial neural networks, a fascinating research area of artificial intelligence, spiking neural P systems offer a captivating blend of theoretical elegance and practical utility. Their efficiency, Turing completeness, and real-life application characteristics, including interpretability and suitability for large-scale problems, have positioned them at the forefront of contemporary research in membrane computing and artificial intelligence.