標題: Titlebook: Neuromorphic Cognitive Systems; A Learning and Memor Qiang Yu,Huajin Tang,Kay‘Tan Chen Book 2017 Springer International Publishing AG 2017 [打印本頁] 作者: Disclose 時間: 2025-3-21 18:45
書目名稱Neuromorphic Cognitive Systems影響因子(影響力)
書目名稱Neuromorphic Cognitive Systems影響因子(影響力)學科排名
書目名稱Neuromorphic Cognitive Systems網(wǎng)絡公開度
書目名稱Neuromorphic Cognitive Systems網(wǎng)絡公開度學科排名
書目名稱Neuromorphic Cognitive Systems被引頻次
書目名稱Neuromorphic Cognitive Systems被引頻次學科排名
書目名稱Neuromorphic Cognitive Systems年度引用
書目名稱Neuromorphic Cognitive Systems年度引用學科排名
書目名稱Neuromorphic Cognitive Systems讀者反饋
書目名稱Neuromorphic Cognitive Systems讀者反饋學科排名
作者: 谷物 時間: 2025-3-21 23:34 作者: 品牌 時間: 2025-3-22 00:49
Intelligent Systems Reference Libraryhttp://image.papertrans.cn/n/image/664235.jpg作者: 職業(yè) 時間: 2025-3-22 06:22 作者: 公式 時間: 2025-3-22 11:55
Qiang Yu,Huajin Tang,Kay‘Tan ChenDiscusses the computational principles underlying spike-based information processing and cognitive computation with a specific focus on learning and memory.Describes theoretical modeling and analysis 作者: Ibd810 時間: 2025-3-22 12:57 作者: menopause 時間: 2025-3-22 20:50 作者: 原告 時間: 2025-3-22 21:34 作者: 尊重 時間: 2025-3-23 05:07
Rapid Feedforward Computation by Temporal Encoding and Learning with Spiking Neurons,g layer, followed by the final decision presented through the readout layer. The performance of the model is also analyzed and discussed. This chapter presents a general structure of SNN for pattern recognition, showing that the SNN has the ability to learn the real-world stimuli.作者: Medicaid 時間: 2025-3-23 08:18
Precise-Spike-Driven Synaptic Plasticity for Hetero Association of Spatiotemporal Spike Patterns,plausible. The properties of this learning rule are investigated extensively through experimental simulations, including its learning performance, its generality to different neuron models, its robustness against noisy conditions, its memory capacity, and the effects of its learning parameters.作者: 心神不寧 時間: 2025-3-23 11:32
A Hierarchically Organized Memory Model with Temporal Population Coding,tive memory within gamma cycles. Moreover, temporally separated patterns can be linked and compressed via enhanced connections among neural groups forming episodic memory. Our model provides a computational interpretation of memory organization at a system level.作者: 灌溉 時間: 2025-3-23 15:38 作者: TRAWL 時間: 2025-3-23 21:45 作者: Banquet 時間: 2025-3-23 23:19
Rapid Feedforward Computation by Temporal Encoding and Learning with Spiking Neurons,nified and consistent feedforward system network with a proper encoding scheme and supervised temporal rules is built for processing real-world stimuli. The temporal rules are used for processing the spatiotemporal patterns. To utilize these rules on images or sounds, a proper encoding method and a 作者: 一大群 時間: 2025-3-24 05:30
A Spike-Timing Based Integrated Model for Pattern Recognition,issue of pattern recognition involving computational process from sensory encoding to synaptic learning remains underexplored, as most existing models or algorithms only target part of the computational process. Furthermore, many learning algorithms proposed in literature neglect or pay little atten作者: 假裝是我 時間: 2025-3-24 08:03 作者: obstinate 時間: 2025-3-24 13:28 作者: 脆弱吧 時間: 2025-3-24 17:55
Temporal Learning in Multilayer Spiking Neural Networks Through Construction of Causal Connections,n the network for the construction of causal connections. Synaptic efficacies are finely tuned for resulting in a desired post-synaptic firing status. Both the PSD rule and the tempotron rule are extended to multiple layers, leading to new rules of multilayer PSD (MutPSD) and multilayer tempotron (M作者: Kaleidoscope 時間: 2025-3-24 22:11
A Hierarchically Organized Memory Model with Temporal Population Coding,organizing principles of memory systems remain unclear. Emerging experiment results show that memories are represented by population of neurons and organized in a categorical and hierarchical manner. In this work, we describe a hierarchically organized memory (HOM) model using spiking neurons, in wh作者: abreast 時間: 2025-3-25 02:31 作者: Minatory 時間: 2025-3-25 04:52
A Spike-Timing Based Integrated Model for Pattern Recognition,ties, the view that information is represented by explicit firing times of action potentials rather than mean firing rates has received increasing attention recently. The external sensory stimulation is first converted into spatiotemporal patterns using latency-phase encoding method and subsequently作者: 卷發(fā) 時間: 2025-3-25 10:52 作者: 集中營 時間: 2025-3-25 15:27 作者: 秘方藥 時間: 2025-3-25 18:26 作者: 有特色 時間: 2025-3-25 23:32
1868-4394 ttle 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 pla978-3-319-85625-4978-3-319-55310-8Series ISSN 1868-4394 Series E-ISSN 1868-4408 作者: 枯燥 時間: 2025-3-26 03:19
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