Hybrid compression scheme for efficient storage of synaptic weights in hardware neuromorphic cores

• 1. 用于硬件神经形态内核中的突触权重的高效存储的混合压缩方案 [P] . 中国专利： CN109716363A . 2019-05-03
• 2. 带有使用模拟学习的突触权重的神经形态-突触器脉冲神经网络 [P] . 中国专利： CN103201610A . 2013-07-10
• 3. HYBRID COMPRESSION SCHEME FOR EFFICIENT STORAGE OF SYNAPTIC WEIGHTS IN HARDWARE NEUROMORPHIC CORES [P] . 世界知识产权组织专利： WO2018071333A1 . 2018-04-19

  机译： 混合压缩方案可有效存储硬件神经形态科的突触重量

• 4. HYBRID COMPRESSION SCHEME FOR EFFICIENT STORAGE OF SYNAPTIC WEIGHTS IN HARDWARE NEUROMORPHIC CORES [P] . 美国专利： US2018107919A1 . 2018-04-19

  机译： 混合压缩方案可有效存储硬件神经形态科的突触重量

• 5. Hybrid compression scheme for efficiently storing synaptic weights in neuromorphic hardware cores [P] . 德国专利： DE112017005197T5 . 2019-07-11

  机译： 混合压缩方案可有效地将突触权重存储在神经形态硬件内核中

• 1. Efficient Reliability-Based Optimization Scheme for Piezoelectric Composite Beams with Delamination under Axial Compression [J] . BI Rengui, LI Yingli, ZHANG Zheng, 东华大学学报（英文版） . 2019,第003期
• 2. Efficient Array Coding Scheme for Large-Scale Storage Systems [J] . Dan Tang 电子科技学刊：英文版 . 2015,第002期
• 3. A Silicon-Compatible Synaptic Transistor Capable of Multiple Synaptic Weights toward Energy-Efficient Neuromorphic Systems [J] . Eunseon Yu, Seongjae Cho, Byung-Gook Park Electronics . 2019,第10期
• 4. Synaptic Weight States in a Locally Competitive Algorithm for Neuromorphic Memristive Hardware [J] . Woods Walt, Burger Jens, Teuscher Christof Nanotechnology, IEEE Transactions on . 2015,第6期
• 5. A Single Core Hardware Module of a Data Compression Scheme Using Prediction by Partial Matching Technique | Science Publications [J] . Hafizah Husain, Jubayer Jalil, Md. Mamun, American journal of applied sciences . 2011,第11期
• 6. Development of three-dimensional synaptic device and neuromorphic computing hardware [C] . I-Ting Wang, Teyuh Chou, Li-Wen Chiu, IEEE International Conference on Solid-State and Integrated Circuit Technology . 2016
• 7. Towards Energy-Efficient Hardware Acceleration of Memory-Intensive Event-Driven Kernels on a Synchronous Neuromorphic Substrate [D] . Saha, Saunak 2019
• 8. Is a 4-Bit Synaptic Weight Resolution Enough? – Constraints on Enabling Spike-Timing Dependent Plasticity in Neuromorphic Hardware [O] . Thomas Pfeil, Tobias C. Potjans, Sven Schrader, 2012
• 9. An Efficient Hybrid Image Compression Scheme based on Correlation of Pixels for Storage and Transmission of Images [O] . S. Parveen Banu, Tamilnadu India 2011

• 1. Hybrid Image Compression-Encryption Scheme Based on Multilayer Stacked Autoencoder and Logistic Map [J] . Neetu Gupta ,Ritu Vijay . 中国通信:英文版 . 2022,第1期
• 2. Efficient Array Coding Scheme for Large-Scale Storage Systems [J] . Dan Tang . 电子科技学刊 . 2015,第002期
• 3. An Efficient File Assignment Strategy for Hybrid Parallel Storage System with Energy ＆ Reliability Constraints [J] . Xupeng Wang ,Wei Jiang ,Hang Lei . 计算机科学与技术汇刊：中英文版 . 2014,第002期
• 4. 人工体神经—内脏神经反射弧盆神经节内突触重建的形态学研究 [C] . 刘宇 ,高晓群 ,陈朝晖 . 第四届全国解剖与临床学术研讨会 . 2006
• 5. 人工体神经-内脏神经反射弧异类神经元及盆神经节内突触再生的形态学研究 [A] . 刘宇 . 2006