Advances in Brain-Inspired Computing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (20 August 2022) | Viewed by 4231
Special Issue Editors
Interests: At the Neuro-Biomorphic Engineering Lab (NBEL) @ The Open University of Israel, we are innovating at the intersections of disciplines. We aim to develop the next generation of nature-inspired computing architectures while utilizing trans-disciplinary engineering to uncover complex biological behavior. In his research, Elishai study the realm of brain-inspired machines. He utilizes artificial brains to develop new frameworks for robotics and vision processing.
Interests: The goal of the ASIC2 Technion Research Group, led by Professor Shahar Kvatinsky, is to explore novel applications of emerging technologies in different fields such as Computer Architecture, VLSI Systems, Integrated Circuit Design, and Hardware Security. Currently, our research focuses on performing logic using memory cells to build the memristive memory processing unit (mMPU), mixed-signal circuits, RF circuits, neuromorphic computing, cytomorphic systems, deep learning accelerators, internet-of-things, and hardware security.
Interests: What does it mean for a brain to perceive? What are the processes underlying the seemingly effortless acts of seeing, feeling, hearing, tasting or smelling? In our lab we try to answer some of these questions. We focus on the senses of touch and vision: we study them in rodents and humans, construct them in synthetic (robotic) and hybrid (brain-machine) agents, and substitute one with the other.
Special Issue Information
Dear Colleagues,
Neuromorphic engineers have the ultimate goal of realizing machines with some aspects of cognitive intelligence using aspects of neuronal processing. They aspire to design computing architectures that could outperform existing digital von Neumann-based computing architectures. In that sense, brain research bears the promise of a new computing paradigm. Redefining hardware/software categorization, neuromorphic engineering opens new frontiers for neuro-robotics, artificial intelligence, and supercomputing applications.
This special issue aims to report the latest advances in neuromorphic engineering from three perspectives: the neuroscientist, the computer architect, and the algorithm designer. This issue addresses neuronal modeling, perceptual and cognitive modeling, neuromorphic circuits, neural architectures, advances in memristive devices, event-based sensors, event-based processing, and neuromorphic applications.
Dr. Elishai Ezra Tsur
Prof. Dr. Shahar Kvatinsky
Prof. Dr. Ehud Ahissar
Guest Editors
Manuscript Submission Information
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Keywords
Artificial neural processing systems
Functional materials for neuromorphic hardware
Biointerfacing
Neuromorphic computing
Neuromorphic learning algorithms
Spiking neural networks
Theory of brain-inspired computing
Neuromorphic modelling
Neuromorphic sensing
Neurorobotics
VLSI neuromorphic circuit designs
Complexity and scalability of neuromorphic systems
Reliability and security in neuromorphic systems
Perception
Control
Closed loop processing
Machine learning
