Modelling of nanowire FETs based neural network for tactile pattern recognition in E-skin

Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016

Volumn , Issue , 2016, Pages 572-575

  Taube, William ^a   Liu, Fengyuan ^a   Vilouras, Anastasios ^a   Shaktivel, Dhayalan ^a   Nunez, Carlos Garcia ^a   Heidari, Hadi ^a   Labeau, Fabrice ^b   Gregory, Duncan ^a   Dahiya, Ravinder ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

Artificial Neural Network (ANN); Pattern Recognition; Physical Neural Networks (PNN); Silicon Nanowires (Si NWs); Silicon Neurons

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; CLASSIFICATION (OF INFORMATION); HARDWARE; NANOWIRES; NEURONS; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS;

CIRCUIT IMPLEMENTATION; HARDWARE NEURAL NETWORKS; NEUROMORPHIC COMPUTING; PHYSICAL NEURAL NETWORKS (PNN); PROSPECTIVE APPLICATIONS; SILICON NANOWIRES; SILICON NEURON; SYSTEM LEVEL SIMULATION;

NEURAL NETWORKS;

EID: 85014178284     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BioCAS.2016.7833859     Document Type: Conference Paper

References (13)

1. M. M. Waldrop, "The chips are down for Mooreïs law," Nature News, vol. 530, p. 144, 2016
2. K. Famm, B. Litt, K. J. Tracey, E. S. Boyden, and M. Slaoui, "Drug discovery: A jump-start for electroceuticals," Nature, vol. 496, pp. 159-161, Apr 11 2013
3. S. Raspopovic, M. Capogrosso, F. M. Petrini, M. Bonizzato, J. Rigosa, G. Di Pino, et al., "Restoring natural sensory feedback in real-time bidirectional hand prostheses," Sci Transl Med, vol. 6, p. 222ra19, 2014
4. R. S. Dahiya, G. Metta, M. Valle, and G. Sandini, "Tactile Sensing-From Humans to Humanoids," IEEE Transactions on Robotics, vol. 26, pp. 1-20, 2010
5. R. S. Johansson and J. R. Flanagan, "Coding and use of tactile signals from the fingertips in object manipulation tasks," Nat Rev Neurosci, vol. 10, pp. 345-59, May 2009
6. R. S. Dahiya and M. Valle, Robotic Tactile Sensing-Technologies and System. Dordrecht: Springer, 2013
7. Ravinder Dahiya, William Navaraj, Saleem Khan, and E. O. Polat, "Developing Electronic Skin with the Sense of Touch," Information Display, vol. 31, p. 5, 2015
8. M. Rasouli, C. Yi, A. Basu, N. V. Thakor, and S. Kukreja, "Spike-based tactile pattern recognition using an extreme learning machine," in Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE, 2015, pp. 1-4
9. M. Kaboli, T. De La Rosa, R. Walker, and G. Cheng, "In-hand object recognition via texture properties with robotic hands, artificial skin, and novel tactile descriptors," in 2015 IEEE-RAS 15th International Conference on Humanoid Robots, 2015, pp. 1155-1160
10. N. Yogeswaran, W. Dang, W. T. Navaraj, D. Shakthivel, S. Khan, E. O. Polat, et al., "New materials and advances in making electronic skin for interactive robots," Advanced Robotics, vol. 29, pp. 1359-1373, 2015
11. W. Navaraj, F. Liu, C. Nunez, D. Shakthivel, D. Gregory, and R. Dahiya, "A Novel Trapezoidal Neural Nanowire Field Effect Transistor for Neuromorphic Computing Applications," Submitted to IEEE., 2016
12. H. Ishii, T. Shibata, H. Kosaka, and T. Ohmi, "Hardwarebackpropagation learning of neuron MOS neural networks," in Electron Devices Meeting, 1992. IEDM '92. Technical Digest., International, 1992, pp. 435-438
13. S. H. Lee, Y. S. Yu, S. W. Hwang, and D. Ahn, "A SPICE-Compatible New Silicon Nanowire Field-Effect Transistors (SNWFETs) Model," IEEE Transactions on Nanotechnology, vol. 8, pp. 643-649, 2009.