The
2018 IEEE Symposium on Neuromorphic Cognitive Computing (SNCC '17) will
be held in Honolulu, Hawaii, USA from Nov. 27 to Dec 1, 2018. SNCC '17
will be a part of the IEEE Computational Intelligence Society (CIS)
flagship conference, IEEE Symposium Series on Computational
Intelligence 2018 (SSCI 2018). In recent years neuromorphic computing
and neuromorphic engineering have become important emerging research
areas. There has been rapid progress in various computational theories,
learning algorithms, signal processing algorithm, circuit designs and
implementations, which have shown appealing computational advantages
over conventional approaches. Emulating the computational principles
and architecture found in neural systems, neuromorphic cognitive
computing studies sensory coding, synaptic computing, dendritic
computing, unsupervised and supervised spike based learning rule, and
high level of memory and cognition. The computational models and
algorithms will be of fundamental importance to develop neuromorphic
sensors, processors, and as well as sensory motor systems for robotic
agents. The symposium will provide an important platform for the
researchers across all related fields to exchange the ideas and report
recent progress, and aims to bring new theoretical and technical
advances in neuromorphic cognitive computing, neuromorphic engineering,
and in turn to benefit highly demanded applications across machine
learning, cognitive devices, neuromorphic circuits design and robotics,
etc.
The manuscripts should be submitted in PDF format. Click Here to know further guidelines for submission.
Topics
Neuromorphic computing
Cognitive computing
Spiking neural networks (SNNs)
Supervised and unsupervised learning
STDP
Neuromorphic visual and auditory processing
Brain-inspired data representation
Spike-based learning
Neural coding
Event based processing
Brain inspired computing for sound, vision and speech
Hardware implementation of SNNs
Deep learning for SNNs
FPGA or GPU accelerator for SNNs
Neuromorphic sensors and hardware systems
Cognitive devices and robots
SNN applications in machine learning and big data
SNN applications in BCI
SNN applications in Cyborg Intelligence
Symposium
Co-Chairs

Huajin Tang
Sichuan University, China
Email: [email protected]

Jeff Krichmar
University of California at Irvine, USA
Email: [email protected]

Tiejun Huang
Peking University, China
Email: [email protected]

Garrick Orchard
National University of Singapore, Singapore
Email: [email protected]
Program
Committee
(To be announced)