Reviews and Perspectives in Neuromorphic Engineering: Novel Neuromorphic Computing Approaches
Reviews and Perspectives in Neuromorphic Engineering: Novel Neuromorphic Computing Approaches

Author: Pier Luigi Gentili

Publisher: Frontiers Media SA

Published: 2024-11-15

Total Pages: 95

ISBN-13: 283255637X

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Frontiers in Neuroscience, Neuromorphic Engineering is delighted to present the ‘Reviews and Perspectives in’ series of article collections. Reviews and Perspectives in Neuromorphic Engineering: Novel Neuromorphic Computing Approaches Research Topic will publish high-quality scholarly reviews and perspective papers on key topics in Neuromorphic Computing. It aims to highlight recent advances in neuromorphic computing in software, hardware, and wetware whilst emphasizing important directions, novel and unconventional approaches, and new possibilities for future inquiries. The research presented will promote discussion in the neuromorphic computing community that will translate to best practice applications. We welcome Review, Mini Review, Opinion, General Commentary, and Perspective articles on themes including, but not limited to: • Innovative architectures and models in neuromorphic computing • Oscillatory Neural Networks computing • Reservoir computing • Chemical computing • Protein computing • Synthetic cells • Analog computing • Bayesian inference and fuzzy logic • Linking neuromorphic and quantum computing • Novel materials for neuromorphic computing • Unconventional neuromorphic approaches • Photonic computing • 3D integrated Neural Network • Physical Chemistry of materials and systems for neuromorphic computing.

Neuromorphic Photonics
Neuromorphic Photonics

Author: Paul R. Prucnal

Publisher: CRC Press

Published: 2017-05-08

Total Pages: 412

ISBN-13: 1498725244

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This book sets out to build bridges between the domains of photonic device physics and neural networks, providing a comprehensive overview of the emerging field of "neuromorphic photonics." It includes a thorough discussion of evolution of neuromorphic photonics from the advent of fiber-optic neurons to today’s state-of-the-art integrated laser neurons, which are a current focus of international research. Neuromorphic Photonics explores candidate interconnection architectures and devices for integrated neuromorphic networks, along with key functionality such as learning. It is written at a level accessible to graduate students, while also intending to serve as a comprehensive reference for experts in the field.

Neuromorphic Engineering
Neuromorphic Engineering

Author: Elishai Ezra Tsur

Publisher: CRC Press

Published: 2021-08-27

Total Pages: 242

ISBN-13: 1000421325

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The brain is not a glorified digital computer. It does not store information in registers, and it does not mathematically transform mental representations to establish perception or behavior. The brain cannot be downloaded to a computer to provide immortality, nor can it destroy the world by having its emerged consciousness traveling in cyberspace. However, studying the brain's core computation architecture can inspire scientists, computer architects, and algorithm designers to think fundamentally differently about their craft. Neuromorphic engineers have the ultimate goal of realizing machines with some aspects of cognitive intelligence. They aspire to design computing architectures that could surpass existing digital von Neumann-based computing architectures' performance. In that sense, brain research bears the promise of a new computing paradigm. As part of a complete cognitive hardware and software ecosystem, neuromorphic engineering opens new frontiers for neuro-robotics, artificial intelligence, and supercomputing applications. This book will present neuromorphic engineering from three perspectives: the scientist, the computer architect, and the algorithm designer. We will zoom in and out of the different disciplines, allowing readers with diverse backgrounds to understand and appreciate the field. Overall, the book will cover the basics of neuronal modeling, neuromorphic circuits, neural architectures, event-based communication, and the neural engineering framework. Readers will have the opportunity to understand the different views over the inherently multidisciplinary field of neuromorphic engineering.

Neuromorphic Cognitive Systems
Neuromorphic Cognitive Systems

Author: Qiang Yu

Publisher: Springer

Published: 2017-05-03

Total Pages: 180

ISBN-13: 3319553100

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This book presents neuromorphic cognitive systems from a learning and memory-centered perspective. It illustrates how to build a system network of neurons to perform spike-based information processing, computing, and high-level cognitive tasks. It is beneficial to a wide spectrum of readers, including undergraduate and postgraduate students and researchers who are interested in neuromorphic computing and neuromorphic engineering, as well as engineers and professionals in industry who are involved in the design and applications of neuromorphic cognitive systems, neuromorphic sensors and processors, and cognitive robotics. The book formulates a systematic framework, from the basic mathematical and computational methods in spike-based neural encoding, learning in both single and multi-layered networks, to a near cognitive level composed of memory and cognition. Since the mechanisms for integrating spiking neurons integrate to formulate cognitive functions as in the brain are little understood, studies of neuromorphic cognitive systems are urgently needed. The topics covered in this book range from the neuronal level to the system level. In the neuronal level, synaptic adaptation plays an important role in learning patterns. In order to perform higher-level cognitive functions such as recognition and memory, spiking neurons with learning abilities are consistently integrated, building a system with encoding, learning and memory functionalities. The book describes these aspects in detail.

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications
Memristors for Neuromorphic Circuits and Artificial Intelligence Applications

Author: Jordi Suñé

Publisher: MDPI

Published: 2020-04-09

Total Pages: 244

ISBN-13: 3039285769

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Artificial Intelligence (AI) has found many applications in the past decade due to the ever increasing computing power. Artificial Neural Networks are inspired in the brain structure and consist in the interconnection of artificial neurons through artificial synapses. Training these systems requires huge amounts of data and, after the network is trained, it can recognize unforeseen data and provide useful information. The so-called Spiking Neural Networks behave similarly to how the brain functions and are very energy efficient. Up to this moment, both spiking and conventional neural networks have been implemented in software programs running on conventional computing units. However, this approach requires high computing power, a large physical space and is energy inefficient. Thus, there is an increasing interest in developing AI tools directly implemented in hardware. The first hardware demonstrations have been based on CMOS circuits for neurons and specific communication protocols for synapses. However, to further increase training speed and energy efficiency while decreasing system size, the combination of CMOS neurons with memristor synapses is being explored. The memristor is a resistor with memory which behaves similarly to biological synapses. This book explores the state-of-the-art of neuromorphic circuits implementing neural networks with memristors for AI applications.

Emerging Trends in IoT and Computing Technologies
Emerging Trends in IoT and Computing Technologies

Author: Suman Lata Tripathi

Publisher: CRC Press

Published: 2024-08-29

Total Pages: 591

ISBN-13: 1040155693

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Second International Conference on Emerging Trends in IOT and Computing Technologies (ICEICT – 2023) is organised with a vision to address the various issues to promote the creation of intelligent solution for the future. It is expected that researchers will bring new prospects for collaboration across disciplines and gain ideas facilitating novel concepts. Second International Conference of Emerging Trends in IoT and Computer Technologies (ICEICT-2023) is an inventive event organised in Goel Institute of Technology and Management, Lucknow, India, with motive to make available an open International forum for the researches, academicians, technocrats, scientist, engineers, industrialist and students around the globe to exchange their innovations and share the research outcomes which may lead the young researchers, academicians and industrialist to contribute to the global society. The conference ICEICT- 2023 is being organised at Goel Institute of Technology and Management, Lucknow, Uttar Pradesh, during 12-13 January 2024. It will feature world-class keynote speakers, special sessions, along with the regular/oral paper presentations. The conference welcomes paper submissions from researcher, practitioners, academicians and students will cover numerous tracks in the field of Computer Science and Engineering and associated research areas.