Real-time event-driven spiking neural network object recognition on the SpiNNaker platform

Proceedings - IEEE International Symposium on Circuits and Systems

Volumn 2015-July, Issue , 2015, Pages 2413-2416

  Orchard, Garrick ^a   Lagorce, Xavier ^b,c,d   Posch, Christoph ^b,c,d   Furber, Steve B ^e   Benosman, Ryad ^b,c,d   Galluppi, Francesco ^b,c,d  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b SORBONNE UNIVERSITÉ   (France)

^c INSERM   (France)

^d CNRS   (France)

^e UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; NEURONS; OBJECT RECOGNITION;

EVENT-DRIVEN; HARDWARE PLATFORM; INTEGRATE AND FIRES; MODEL OUTPUTS; NEURON MODEL; REAL TIME; SILICON RETINA; SPIKING NEURAL NETWORKS;

NEURAL NETWORKS;

EID: 84946220655     PISSN: 02714310     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCAS.2015.7169171     Document Type: Conference Paper

References (11)

1. S. Furber, F. Galluppi, S. Temple, and L. Plana, "The SpiNNaker Project," Proceedings of the IEEE, vol. 102, no. 5, pp. 652-665, May 2014.
2. B. Benjamin, P. Gao, E. McQuinn, S. Choudhary, A. R. Chandrasekaran, J.-M. Bussat, R. Alvarez-Icaza, J. V. Arthur, P. A. Merolla, and K. Boahen, "Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations," Proceedings of the IEEE, vol. 102, no. 5, pp. 699-716, May 2014.
3. P. A. Merolla, J. V. Arthur, R. Alvarez-Icaza, A. S. Cassidy, J. Sawada, F. Akopyan, B. L. Jackson, N. Imam, C. Guo, Y. Nakamura, B. Brezzo, I. Vo, S. K. Esser, R. Appuswamy, B. Taba, A. Amir, M. D. Flickner, W. P. Risk, R. Manohar, and D. S. Modha, "A million spiking-neuron integrated circuit with a scalable communication network and interface," Science (80-.)., vol. 345, no. 6197, pp. 668-673, Aug. 2014.
4. T. Serre, L. Wolf, S. Bileschi, M. Riesenhuber, and T. Poggio, "Robust object recognition with cortex-like mechanisms," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 29, no. 3, pp. 411-426, Mar 2007.
5. P. O'Connor, D. Neil, S.-C. Liu, T. Delbruck, and M. Pfeiffer, "Realtime classification and sensor fusion with a spiking deep belief network. " Front. Neurosci., vol. 7, p. 178, Jan. 2013.
6. J. A. Pérez-Carrasco, B. Zhao, C. Serrano, B. Acha, T. Serrano-Gotarredona, S. Chen, and B. Linares-Barranco, "Mapping from framedriven to frame-free event-driven vision systems by low-rate rate coding and coincidence processing-application to feedforward ConvNets. " IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 35, no. 11, pp. 2706-19, Nov. 2013.
7. T. Serrano-Gotarredona, B. Linares-Barranco, F. Galluppi, L. Plana, and F. S., "ConvNets Experiments on SpiNNaker," Circuits and Systems, IEEE International Symposium on, pp. 1-4, May 2015.
8. F. Folowosele, R. J. Vogelstein, and R. Etienne-Cummings, "Towards a Cortical Prosthesis: Implementing A Spike-Based HMAX Model of Visual Object Recognition in Silico," IEEE J. Emerg. Sel. Top. Circuits Syst., vol. 1, no. 4, pp. 516-525, Dec. 2011.
9. G. Orchard, C. Meyer, R. Etienne-Cummings, C. Posch, N. Thakor, and R. Benosman, "Hfirst: A temporal approach to object recognition," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. PP, no. 99, pp. 1-1, 2015.
10. C. Posch, D. Matolin, and R. Wohlgenannt, "A QVGA 143 dB dynamic range frame-free PWM image sensor with lossless pixel-level video compression and time-domain CDS," IEEE J. Solid-State Circuits, vol. 46, no. 1, pp. 259-275, Jan 2011.
11. T. Masquelier and S. J. Thorpe, "Unsupervised learning of visual features through spike timing dependent plasticity. " PLoS Comput. Biol., vol. 3, no. 2, p. e31, Feb. 2007.