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检索条件"主题词=Rate coding"
115 条 记 录,以下是11-20 订阅
排序:
An Energy Efficient Residual Spiking Neural Network Accelerator With Ternary Spikes
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IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGrateD CIRCUITS AND SYSTEMS 2025年 第1期44卷 395-400页
作者: Sun, Congyi Song, Wenqing Chen, Qinyu Dai, Chenyang Fu, Yuxiang Li, Li Nanjing Univ Sch Elect Sci & Engn Nanjing 210000 Peoples R China Leiden Univ Leiden Inst Adv Comp Sci NL-2300 RA Leiden Netherlands Nanjing Univ Sch Integrated Circuits Nanjing 210000 Peoples R China
Spiking neural networks (SNNs) use discrete binary spikes to transfer information between neurons, which is different from artificial neural networks (ANNs). Although event-based characteristics bring potential comput... 详细信息
来源: 评论
Distinct Cellular Mechanisms underlying rate-coding Principles in Primate Auditory Cortex Revealed by Intracellular Recordings in Awake Marmosets
Distinct Cellular Mechanisms underlying Rate-Coding Principl...
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第九届海内外华人神经科学家研讨会
作者: Lixia Gao Xiaoqin Wang Department of Biomedical Engineering Johns Hopkins University School of Medicine
A key computational principle for encoding time-varying signals in auditory and somatosensory cortices of monkeys is the opponent model of rate-coding by two distinct populations of neurons. However, the subthreshold ... 详细信息
来源: 评论
Distinct Cellular Mechanisms underlying rate-coding Principles in Primate Auditory Cortex Revealed by Intracellular Recordings in Awake Marmosets
Distinct Cellular Mechanisms underlying Rate-Coding Principl...
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第九届海内外华人神经科学家研讨会(The 9th Symposium for Chinese Neuroscientists Worldwide)
作者: LixiaGao Xiaoqin Wang Department of Biomedical Engineering Johns Hopkins University School of MedicineBaltimoreMD 21025USA
A key computational principle for encoding time-varying signals in auditory and somatosensory cortices of monkeys is the opponent model of rate-coding by two distinct populations of ***,the subthreshold mechanisms tha... 详细信息
来源: 评论
SAR-TinySNN: A Lightweight Spiking Neural Network for SAR Target Recognition
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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2025年 22卷
作者: Wang, Junyu Sun, Hao Sun, Yuli Tang, Tao Lei, Lin Ji, Kefeng Natl Univ Def Technol State Key Lab Complex Electromagnet Environm Effec Changsha 410073 Peoples R China Natl Univ Def Technol Coll Elect Sci & Technol Changsha 410073 Peoples R China
Spiking neural networks (SNNs) are the third generation of neural networks that offer the advantages of low computational requirements, fast inference speed, and strong biological interpretability. This makes SNNs sui... 详细信息
来源: 评论
Self-Rectifying Dynamic Memristor Circuits for Periodic LIF Refractory Period Emulation and TTFS/rate Signal Encoding
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SMALL 2025年 第15期21卷 e2408233页
作者: You, Song-Xian Hong, Sheng-Jie Chen, Kuan-Ting Shih, Li-Chung Chen, Jen-Sue Natl Cheng Kung Univ Dept Mat Sci & Engn Tainan Taiwan Natl Cheng Kung Univ Acad Innovat Semicond & Sustainable Mfg Tainan Taiwan
Spiking Neural Networks (SNNs) have gained attention due to their potential to improve computational efficiency compared to traditional artificial neural networks. This study investigates the use of dynamic memristors... 详细信息
来源: 评论
Timing is everything: The effect of early-life seizures on developing neuronal circuits subserving spatial memory
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EPILEPSIA OPEN 2025年 第0期 2025 Mar 20页
作者: Holmes, Gregory L. Univ Vermont Coll Med Dept Neurol Sci 95 Carrigan DrStafford 118 Burlington VT 05405 USA
Spatial memory, the aspect of memory involving encoding and retrieval of information regarding one's environment and spatial orientation, is a complex biological function incorporating multiple neuronal networks. ... 详细信息
来源: 评论
Motor unit discharge behavior in human muscles throughout force gradation: a systematic review and meta-analysis with meta-regression
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JOURNAL OF APPLIED PHYSIOLOGY 2025年 第4期138卷 1050-1065页
作者: Inglis, J. Greig Cabral, Helio V. Cosentino, Caterina Bonardi, Alberto Negro, Francesco Univ Brescia Dept Clin & Expt Sci Brescia Italy
The analysis of motor unit (MU) discharge behavior provides an effective way of assembling information about the generation and control of movement. In this systematic review and meta-analysis, we identified and summa... 详细信息
来源: 评论
ASIC Implementation of Efficient 512-Neuron 256K-Synapses Digital Neuromorphic Processor with On-Chip Encoding in 22nmFDX
ASIC Implementation of Efficient 512-Neuron 256K-Synapses Di...
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IEEE International Symposium on Circuits and Systems (ISCAS)
作者: Ghonem, Ahmed Zaky Tawfik, Eslam Yahya Ohio State Univ Columbus OH 43210 USA
There is a rising demand for AI workloads running on the edge that are increasingly complex, calling for more efficient computing platforms. Neuromorphic hardware is a class of electronic circuits and devices that aim... 详细信息
来源: 评论
Spiking Neural Networks Trained via Proxy
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IEEE ACCESS 2022年 10卷 70769-70778页
作者: Kheradpisheh, Saeed Reza Mirsadeghi, Maryam Masquelier, Timothee Shahid Beheshti Univ Fac Math Sci Dept Comp & Data Sci Tehran *** Iran Amirkabir Univ Technol Dept Elect Engn Tehran 158754413 Iran Univ Toulouse 3 Ctr Natl Rech Sci CerCo UMR 5549 F-31062 Toulouse France
We propose a new learning algorithm to train spiking neural networks (SNN) using conventional artificial neural networks (ANN) as proxy. We couple two SNN and ANN networks, respectively, made of integrate-and-fire (IF... 详细信息
来源: 评论
Capacity per Unit Cost-Achieving Input Distribution of rated-Inverse Gaussian Biological Neuron
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IEEE TRANSACTIONS ON COMMUNICATIONS 2022年 第6期70卷 3788-3803页
作者: Nasiraee, Mohammad Montazery Kordy, Hussain Kazemitabar, Javad Babol Noshirvani Univ Technol Fac Elect & Comp Engn Babol *** Iran
Maximizing the information per the expected unit energy cost in biological neurons is vital in understanding the functionality of our nervous system and improving the bio-inspired nano-networks. Hence, toward a better... 详细信息
来源: 评论