2019 IEEE Symposium Series on Computational Intelligence

IEEE Symposium Series on Computational Intelligence

December 6-9, 2019 Xiamen, China


IEEE Symposium on Neuromorphic Cognitive Computing (IEEE SNCC)

The 2019 IEEE Symposium on Neuromorphic Cognitive Computing (SNCC’19) will be held in a very beautiful port city, Xiamen, China, during December 6-9, 2019. SNCC’19 will be part of the 2019 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2019), a flagship annual international conference of the IEEE Computational Intelligence Society (CIS). Following the success of past symposia on Neuromorphic Cognitive Computing, SNCC’19 will continue to bring more talents to share their ideas towards brain-like computing and intelligence. The cognitive advantages of the brain have been attracting efforts to understand its computing principles better and then to reproduce comparative intelligence. Neuromorphic computing provides a possible approach towards this direction by emulating the structure and computational principles of the brain. There has been rapid progress in various computational theories, learning algorithms, system developments, circuit designs and implementations. Appealing computational advantages of neuromorphic computing over conventional approaches encourage it as a feasible way for creating future artificial intelligence. Neuromorphic computing studies neuronal processing, sensory coding, synaptic computing, learning, memory, as well as hardware implementations including electronic synapses, neural circuits, neuromorphic sensors, processors, and systems. This symposium aims to provide an important platform for researchers across all related fields to exchange ideas for pushing forward the boundaries of neuromorphic computing, and for targeting the next generation of intelligence.


  • Neuromorphic computing
  • Brain-like computing
  • Spiking neural networks (SNNs)
  • Supervised and unsupervised learning
  • Neuromorphic vision and sensors
  • Neuromorphic information/signal processing
  • Brain-inspired data representation models
  • Address-Event Representation (AER) and learning
  • Neural information coding and decoding
  • Event based computation
  • Deep learning for SNNs
  • Neuromorphic sensors and hardware
  • Brain inspired computing for sound, vision and speech processing
  • SNN applications and hardware implementations

Important Dates:

Paper submission: July 10, 2019
Notification to authors: September 1, 2019
Final submission: October 1, 2019
Early registration: October 1, 2019

Symposium Chairs

Qiang Yu

College of Intelligence and Computing, Tianjin University, China



Jayawan Wijekoon

School of Electrical and Electronic Engineering, The University of Manchester, UK



Huajin Tang

Sichuan University, China