Vol. 61, No. 6, 2018 Cover Contents

Special Focus on Memristive Devices and Neuromorphic Computing
REVIEW Website SpringerLink Google Scholar Cited in SCI: 3

Neuromorphic vision chips
Wu, Nanjian
Sci China Inf Sci, 2018, 61(6): 060421
Keywords: neuromorphic; vison chip; frame-driven; address-event-representation; event-driven; convolution neural network; image sensor; image processing
Cite as: Wu N J. Neuromorphic vision chips. Sci China Inf Sci, 2018, 61(6): 060421, doi: 10.1007/s11432-017-9303-0

Special Focus on Memristive Devices and Neuromorphic Computing
REVIEW Website SpringerLink Google Scholar Cited in SCI: 5

Neuromorphic computing with memristive devices
Ma, Wen; Zidan, Mohammed A.; Lu, Wei D.
Sci China Inf Sci, 2018, 61(6): 060422
Keywords: memristor; resistive random-access-memory; RRAM; neuromorphic computing; non-von Neumann; process in-memory
Cite as: Ma W, Zidan M A, Lu W D. Neuromorphic computing with memristive devices. Sci China Inf Sci, 2018, 61(6): 060422, doi: 10.1007/s11432-017-9424-y

Special Focus on Memristive Devices and Neuromorphic Computing
REVIEW Website SpringerLink Google Scholar Cited in SCI: 2

Artificial neural networks based on memristive devices
Ravichandran, Vignesh; Li, Can; Banagozar, Ali; Yang, J. Joshua; Xia, Qiangfei
Sci China Inf Sci, 2018, 61(6): 060423
Keywords: neuromorphic computing; memristors; neural network
Cite as: Ravichandran V, Li C, Banagozar A, et al. Artificial neural networks based on memristive devices. Sci China Inf Sci, 2018, 61(6): 060423, doi: 10.1007/s11432-018-9425-1

Special Focus on Memristive Devices and Neuromorphic Computing
INSIGHT Website SpringerLink Google Scholar Cited in SCI: 3

Memcomputing: fusion of memory and computing
Li, Yi; Zhou, Yaxiong; Wang, Zhuorui; Miao, Xiangshui
Sci China Inf Sci, 2018, 61(6): 060424
Keywords: memristor; logic-in-memory; stateful logic; memcomputing; non von Neumann computing
Cite as: Li Y, Zhou Y X, Wang Z R, et al. Memcomputing: fusion of memory and computing. Sci China Inf Sci, 2018, 61(6): 060424, doi: 10.1007/s11432-017-9313-6

Special Focus on Memristive Devices and Neuromorphic Computing
INSIGHT Website SpringerLink Google Scholar Cited in SCI: 1

Challenges of memristor based neuromorphic computing system
Yan, Bonan; Chen, Yiran; Li, Hai
Sci China Inf Sci, 2018, 61(6): 060425
Keywords: Neuromorphic Computing; Reliability; Memristor; Neural Network; ReRAM
Cite as: Yan B N, Chen Y R, Li H. Challenges of memristor based neuromorphic computing system. Sci China Inf Sci, 2018, 61(6): 060425, doi: 10.1007/s11432-017-9378-3

Special Focus on Memristive Devices and Neuromorphic Computing
LETTER Website SpringerLink Google Scholar Supplementary Cited in SCI: 0

Morris-Lecar model of third-order barnacle muscle fiber is made of volatile memristors
Rajamani, Vetriveeran; Kim, Hyongsuk; Chua, Leon
Sci China Inf Sci, 2018, 61(6): 060426
Keywords: Memristive third-order Morris-Lecar Model; Power-Off Plot; Dynamic Route Map; Generic Memristor; Volatile Memristor
Cite as: Rajamani V, Kim H, Chua L. Morris-Lecar model of third-order barnacle muscle fiber is made of volatile memristors. Sci China Inf Sci, 2018, 61(6): 060426, doi: 10.1007/s11432-017-9374-6

Special Focus on Memristive Devices and Neuromorphic Computing
LETTER Website SpringerLink Google Scholar Cited in SCI: 0

Excitatory and inhibitory actions of a memristor bridge synapse
Yang, Changju; Adhikari, Shyam Prasad; Kim, Hyongsuk
Sci China Inf Sci, 2018, 61(6): 060427
Keywords: Memristor bridge synapse; biological neuron; cell; Excitatory; Inhibitory
Cite as: Yang C J, Adhikari S P, Kim H S. Excitatory and inhibitory actions of a memristor bridge synapse. Sci China Inf Sci, 2018, 61(6): 060427, doi: 10.1007/s11432-017-9348-3

Special Focus on Memristive Devices and Neuromorphic Computing
LETTER Website SpringerLink Google Scholar Supplementary Cited in SCI: 0

Predicting spikes with artificial neural network
Cao, Lihong; Shen, Jiamin; Wang, Lei; Wang, Ye
Sci China Inf Sci, 2018, 61(6): 060428
Keywords: Spike; Hodgkin-Huxley model; Prediction; Artificial neural network; Action potential
Cite as: Cao L H, Shen J M, Wang L, et al. Predicting spikes with artificial neural network. Sci China Inf Sci, 2018, 61(6): 060428, doi: 10.1007/s11432-017-9379-4