purulent 发表于 2025-3-21 16:18:56
书目名称Neuromorphic Computing Principles and Organization影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0664237<br><br> <br><br>书目名称Neuromorphic Computing Principles and Organization影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0664237<br><br> <br><br>书目名称Neuromorphic Computing Principles and Organization网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0664237<br><br> <br><br>书目名称Neuromorphic Computing Principles and Organization网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0664237<br><br> <br><br>书目名称Neuromorphic Computing Principles and Organization被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0664237<br><br> <br><br>书目名称Neuromorphic Computing Principles and Organization被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0664237<br><br> <br><br>书目名称Neuromorphic Computing Principles and Organization年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0664237<br><br> <br><br>书目名称Neuromorphic Computing Principles and Organization年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0664237<br><br> <br><br>书目名称Neuromorphic Computing Principles and Organization读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0664237<br><br> <br><br>书目名称Neuromorphic Computing Principles and Organization读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0664237<br><br> <br><br>TSH582 发表于 2025-3-21 22:27:48
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Learning in Neuromorphic Systems,phisticated property that makes energy-efficient computation possible is the distinct sparse communication among many spiking neurons. The primary goal of neuromorphic hardware is to emulate brain-like neural networks to solve real-world problems. However, training on neuromorphic systems is challenFRAUD 发表于 2025-3-22 04:51:07
Emerging Memory Devices for Neuromorphic Systems, emulate biological synapses. Recently, numerous efforts have been made to realize artificial synapses using post-CMOS devices, including resistive random access memory (ReRAM), ferroelectric field-effect transistor (FeFET), phase change memory devices, magnetoresistive random access memory (MRAM),Bother 发表于 2025-3-22 08:46:12
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Reconfigurable Neuromorphic Computing System,ieving the learning and adaptability of the human brain. The weight of a synapse shows connection strength between the two neurons linked by that synapse. Spiking neural networks are used in applications ranging from vision systems to brain-computer interfaces. However, the design of such systems haKinetic 发表于 2025-3-22 23:17:38
Case Study: Real Hardware-Software Design of 3D-NoC-Based Neuromorphic System,D-ICs biological brain’s three-dimensional structure. The platform enables high integration density and slight spike delay of spiking networks and features a scalable design. R-NASH is a design based on the Through-Silicon-Via technology, facilitating spiking neural network implementation on cluster思考 发表于 2025-3-23 03:02:29
Survey of Neuromorphic Systems,of research works in neuromorphic computing systems. First, the chapter gives the motivations for neuromorphic computing, then describes significant research works in the field. These works are categorized as software emulation, digital hardware, and analog and mixed-signal hardware approaches. This镇压 发表于 2025-3-23 08:15:29
od and organization of neuromorphic architecture.Presents a This book focuses on neuromorphic computing principles and organization and how to build fault-tolerant scalable hardware for large and medium scale spiking neural networks with learning capabilities. In addition, the book describes in a co