Spike-Based MAX Networks for Nonlinear Pooling in Hierarchical Vision Processing

作者: Fopefolu O. Folowosele , R. Jacob Vogelstein , R. Etienne-Cummings

DOI: 10.1109/BIOCAS.2007.4463313

关键词:

摘要: Complex cells in the visual cortex utilize a maximum (MAX) operation to pool the outputs of simple cells to achieve feature specificity and invariance. We demonstrate a biologically …

参考文章(23)
U. Mallik, R.J. Vogelstein, E. Culurciello, R. Etienne-Cummings, G. Cauwenberghs, A real-time spike-domain sensory information processing system [image processing applications] international symposium on circuits and systems. pp. 1919- 1922 ,(2005) , 10.1109/ISCAS.2005.1464988
Massimo Antonio Sivilotti, Wiring considerations in analog VLSI systems, with application to field-programmable networks California Institute of Technology. ,(1992)
Misha Mahowald, An Analog VLSI System for Stereoscopic Vision Kluwer Academic Publishers. ,(1994) , 10.1007/978-1-4615-2724-4
E. Culurciello, R. Etienne-Cummings, Second generation of high dynamic range, arbitrated digital imager international symposium on circuits and systems. ,vol. 4, pp. 828- 831 ,(2004) , 10.1109/ISCAS.2004.1329132
Shih-Chii Liu, M. Oster, Feature competition in a spike-based winner-take-all VLSI network international symposium on circuits and systems. pp. 3634- 3637 ,(2006) , 10.1109/ISCAS.2006.1693414
E. Culurciello, R. Etienne-Cummings, K.A. Boahen, A biomorphic digital image sensor IEEE Journal of Solid-state Circuits. ,vol. 38, pp. 281- 294 ,(2003) , 10.1109/JSSC.2002.807412
David H. Goldberg, Gert Cauwenberghs, Andreas G. Andreou, Probabilistic synaptic weighting in a reconfigurable network of VLSI integrate-and-fire neurons. Neural Networks. ,vol. 14, pp. 781- 793 ,(2001) , 10.1016/S0893-6080(01)00057-0
Carver Mead, Analog VLSI and Neural Systems ,(1989)
Maximilian Riesenhuber, Tomaso Poggio, Neural mechanisms of object recognition Current Opinion in Neurobiology. ,vol. 12, pp. 162- 168 ,(2002) , 10.1016/S0959-4388(02)00304-5
Timothy Horiuchi, Kai Hynna, Spike-based VLSI modeling of the ILD system in the echolocating bat Neural Networks. ,vol. 14, pp. 755- 762 ,(2001) , 10.1016/S0893-6080(01)00066-1