Symposium ED2-Materials and Devices for Neuromorphic-Engineering and Brain-Inspired Computing

The ever-increasing world of “big data” has placed huge challenges on data storage, computing and analysis, where biological inspired computing systems have been seriously evaluating as the future systems. It has been widely accepted that synapses are responsible for the massive parallelism and structural plasticity of the brain, and crucial to biological computations that underlie perception and learning. Therefore, the electronic synaptic devices that display the functional characteristics such as plasticity and learning are the most important building blocks of brain-inspired computing system and many neuromorphic applications. Recently has seen significant progress in the electronic synaptic devices that exhibit synapse-like operational characteristics. A broad spectrum of materials with configurable conductance has been explored and successfully demonstrated as electronic synapses, such as chalcogenide phase change materials, transition metal oxides, Perovskite oxides, magnetic materials, carbon-based materials, polymers, and etc. While some materials and related devices have been exploited technologically, there are still many fundamental questions to be answered with regards to capability, functionalities, performance required for neuromorphic applications. Besides the electronic synapse, different bio-inspired devices are required to mimic the different behaviors of the neurons or mimic the human sensors and organs for neuromorphic engineering.

This symposium brings together the technological and scientific communities to identify outstanding, fundamental problems, to present technological trends and to share current scientific results. The inextricable linkage between outstanding technological problems and gaps in the fundamental understanding make this symposium dedicated to electronic synapse for brain-inspired computing and neuromorphic engineering a synergistic event. Interdisciplinary topics related to physics, material science, neuroscience, and engineering will be connected by thoughtfully selected invited talks. The audience includes physicists, neuroscientists, chemists, materials scientists, device physicists, and engineers.

• Adaptive materials
• Material characterization for neuromorphic applications
• Electronic synapse design and characterization
• Neuromorphic applications
• Brain-inspired computing system and its applications
• Theory of electrically configurable materials including phase change materials, oxides, magnetic, carbon-based materials, polymers, and etc.
• Reconfigurable material synthesis and structure-property relations
• Multi-terminal device and its materials investigation for brain-inspired computing
• Memristive device and its material fabrication / characterization for brain-inspired computing
• Neuromorphic devices, sensors, and materials (artificial retina, artificial cochlea, and so on)
• Connectivity and operation of electrical synaptic networks and systems

• ED2_Materials and Devices for Neuromorphic-Engineering and Brain-Inspired Computing _0 (Politecnico di Milano, Italy)
• ED2_Materials and Devices for Neuromorphic-Engineering and Brain-Inspired Computing _1 (Centre National de la Recherche Scientifique, France)
• ED2_Materials and Devices for Neuromorphic-Engineering and Brain-Inspired Computing _2 (Pohang University of Science and Technology, Republic of Korea)
• ED2_Materials and Devices for Neuromorphic-Engineering and Brain-Inspired Computing _3 (University of California, Santa Barbara, USA)
• ED2_Materials and Devices for Neuromorphic-Engineering and Brain-Inspired Computing _4 (University of Michigan, USA)
• ED2_Materials and Devices for Neuromorphic-Engineering and Brain-Inspired Computing _5 (Heidelberg University, Germany)
• ED2_Materials and Devices for Neuromorphic-Engineering and Brain-Inspired Computing _6 (Nanjing University, China)
• ED2_Materials and Devices for Neuromorphic-Engineering and Brain-Inspired Computing _7 (ETH Zürich, Switzerland)
• ED2_Materials and Devices for Neuromorphic-Engineering and Brain-Inspired Computing _8 (University of California, Santa Barbara, USA)
• ED2_Materials and Devices for Neuromorphic-Engineering and Brain-Inspired Computing _9 (CEA-Leti, France)
• ED2_Materials and Devices for Neuromorphic-Engineering and Brain-Inspired Computing _10 (HP Labs, USA)
• ED2_Materials and Devices for Neuromorphic-Engineering and Brain-Inspired Computing _11 (Stanford University, USA)
• ED2_Materials and Devices for Neuromorphic-Engineering and Brain-Inspired Computing _12 (Tsinghua University, China)
• ED2_Materials and Devices for Neuromorphic-Engineering and Brain-Inspired Computing _13 (University of Massachusetts, USA)
• ED2_Materials and Devices for Neuromorphic-Engineering and Brain-Inspired Computing _14 (Arizona State University, USA)