Giacomo Indiveri's Publications page

Updated on 07/07/2006

Our new book "Analog VLSI" is out! Click on the link to find out more about it

Below is a list of selected publications. You can read Abstracts of all of the publications listed. For most of them you will also be able to download the portable document format (PDF) or compressed postscript verion of the full paper.

The list is divided into Journal Papers and Conference Papers. For reasons that you all know, the most recent publications are the ones in the Conference section.

Journal Papers:

C. Bartolozzi and G. Indiveri, Synaptic dynamics in analog VLSI , Neural Computation, 2006, (Submitted)
C. Bartolozzi and G. Indiveri, Selective attention implemented with dynamic synapses and integrate-and-fire networks , Neurocomputing, 2006, (In Press)
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Indiveri, G. and Chicca, E. and Douglas, R. A VLSI array of low-power spiking neurons and bistable synapses with spike–timing dependent plasticity , IEEE Transactions on Neural Networks, 17:(1) 211--221, Jan, 2006
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Reeve, R. and Webb, B. and Horchler, A. and Indiveri, G. and Quinn, R. New Technologies for testing a model of cricket phonotaxis on an outdoor robot platform , Robotics and Autonomous Systems, 51:(1) 41-54, 2005
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V. Becanovic, R. Hosseiny, G. Indiveri. Robot Soccer using Optical Analog VLSI Sensors, International Journal of Robotics and Automation, Vol. 14, Issue 4, pp. 213– 221, 2004
L. Carota, G. Indiveri, V. Dante. A software–hardware selective attention system, Neurocomputing, Num. 58–60, pp. 647 – 653, 2004
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G. Indiveri A Neuromorphic VLSI device for implementing 2D selective attention systems, IEEE Transactions on Neural Networks, Vol. 12, Num. 6, pp. 1455--1463, November 2001.
PDF | Postscript
G. Indiveri. A Current-mode Hysteretic Winner-Take-All Network, with Excitatory and Inhibitory Coupling, Analog Integrated Circuits and Signal Processing, Vol. 28, pp. 279--291, September 2001.
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S.-C. Liu, J. Kramer, G. Indiveri, T. Delbruck, T. Burg, and R. Douglas. Orientation-selective aVLSI spiking neurons. Neural Networks, Vol. 14(6/7), pp.629–643, 2001. Special Issue on Spiking Neurons in Neuroscience and Technology.
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G. Indiveri, R. Mürer and J. Kramer. An active vision system driven by an analog VLSI selective attention model, IEEE Transactions on Circuits and Systems II, Vol. 48, Num. 5, pp.492--500, May 2001.
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G. Indiveri and R. Douglas. ROBOTIC VISION: Neuromorphic Vision Sensors, in Science, Vol. 288, Num. 5469 Issue of 19 May 2000, pp. 1189--1190.
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G. Indiveri.Modeling Selective Attention using a Neuromorphic aVLSI Device, in Neural Computation, Vol. 12, Num. 12, pp. 2857--2880, December 2000.
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G. Indiveri. Neuromorphic Analog VLSI Sensor for Visual Tracking: Circuits and Application Examples, in IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, Vol. 46, Num. 11, pp. 1337--1347, November 1999.
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G. Indiveri. Winner-take-all networks with lateral excitation, in Analog Integrated Circuits and Signal Processing, Vol. 13, Num. 1/2, pp. 185--193, May/June, 1997.
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G. Indiveri, J. Kramer, and C. Koch. System implementations of analog VLSI velocity sensors, in IEEE Micro, Vol. 16, Num. 5, pp. 40--49, October, 1996. This is a revised and expanded version of the MICRONEURO'96 conference paper.
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R. Sarpeshkar, J. Kramer, G. Indiveri, and C. Koch. Analog VLSI architectures for motion processing: from fundamental limits to system applications, in Proceedings of IEEE, Vol. 84, Num. 7, pp. 969--987. 1996.
Abstract
G. Indiveri, L. Raffo, S.P. Sabatini, and G.M. Bisio. A recurrent neural architecture mimicking cortical preattentive vision systems, in Neurocomputing, Vol.11(2-4), pp. 155-170, 1996.
Abstract
G. Indiveri, L. Raffo, S.P. Sabatini, and G.M. Bisio. A neuromorphic architecture for cortical multi-layer integration of early visual tasks, in Machine Vision and Applications, Vol.8, pp. 305-314, 1995.
Abstract
L. Raffo, S.P. Sabatini, G. Indiveri, G. Nateri, and G.M. Bisio . A memory-based recurrent neural architecture for chips emulating cortical visual processing, in IEICE Transactions on Electronics, E77-C(7):1065--1074, 1994.
Abstract

Refereed Conference Papers:

Bartolozzi, C. and Indiveri, G. Silicon synaptic homeostasis , Brain Inspired Cognitive Systems (BICS 2006), 2006
Mitra, S. and Fusi, S. and Indiveri, G. A VLSI spike-driven dynamic synapse which learns , Proceedings of IEEE International Symposium on Circuits and Systems ISCAS06 2777-2780, May, 2006
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Chicca, E. and Lichtsteiner, P. and Delbruck, T. and Indiveri, G. and Douglas, R. J. Modeling Orientation Selectivity Using a Neuromorphic Multi-Chip System , Proceedings of IEEE International Symposium on Circuits and Systems, 2006
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Hofstoetter, C and Gil, M and Eng, K and Indiveri, G and Mintz, M and Kramer, J and Verschure, P F M J The cerebellum chip: an analog VLSI implementation of a cerebellar model of classical conditioning , Advances in Neural Information Processing Systems, 17: 577-584, 2005
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Mitra, S. and Indiveri, G. A low-power dual-threshold comparator for neuromorphic systems , 2005 PhD Research in Microelectronics and Electronics, 2: 402-405, Jul, IEEE, 2005
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Muir, D. R. and Indiveri, G. and Douglas, R. Form specifies function: Robust spike-based computation in analog VLSI without precise synaptic weights , IEEE International Symposium on Circuits and Systems 5150--5153, May, 2005
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G. Indiveri, E. Chicca and R.J. Douglas. A VLSI reconfigurable network of integrate–and–fire neurons with spike–based learning synapses. In Proc. European Symposium on Artificial Neural Networks, 2004.
PDF
E. Chicca, G. Indiveri and R.J. Douglas. An Event-based VLSI Netowrk of Integrate-and-Fire Neurons. In Proc. IEEE International Symposium on Circuits and Systems. IEEE, May 2004.
PDF
G. Indiveri. Neuromorphic selective attention systems. In Proc. IEEE International Symposium on Circuits and Systems. IEEE, May 2003.
PDF
G. Indiveri. A low-power adaptive integrate-and-fire neuron circuit. In Proc. IEEE International Symposium on Circuits and Systems. IEEE, May 2003.
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E. Chicca, G. Indiveri, and R.J. Douglas. An adaptive silicon synapse. In Proc. IEEE International Symposium on Circuits and Systems. IEEE, May 2003.
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G. Indiveri. Neuromorphic bistable VLSI synapses with spike-timing-dependent plasticity. In Advances in Neural Information Processing Systems, Vol. 15, Cambridge, MA, December 2002. MIT Press.
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G. Indiveri, P. Oswald and J. Kramer. An adaptive visual tracking sensor with a hysteretic winner-take-all network, in Proc. IEEE International Symposium on Circuits and Systems, Scottsdale Arizona, USA, May 2002.
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G. Indiveri, T. Horiuchi, E. Niebur and R. Douglas. A Competitive Network of Spiking VLSI Neurons, in Proc. World Congress Neuroinformatics, Vienna, Austria, September 2001.
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G. Indiveri. A 2D Neuromorphic VLSI architecture for modeling selective attention, in Proc. IJCNN'2000, Como, Italy, July 2000.
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G. Indiveri, A. M. Whatley and J. Kramer. A Reconfigurable Neuromorphic VLSI Multi-Chip System Applied to Visual Motion Computation, in Proc. MicroNeuro99, April 1999.
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J. Kramer and G. Indiveri. Neuromorphic vision sensors and preprocessors in system applications, in Proc. AFPAEC98, May 1998.
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G. Indiveri and P. Verschure. Autonomous vehicle guidance using analog VLSI neuromorphic sensors, in Proc. ICANN97, October 1997.
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G. Indiveri. Analog VLSI Model of Locust DCMD Neuron Response for Computation of Object Approach, in Neuromorphic Systems: Engineering Silicon from Neurobiology, from the EWNS1 conference, August 1997.
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G. Indiveri, J. Kramer, and C. Koch Neuromorphic Vision Chips: intelligent sensors for industrial applications, in Proc. of Advanced Microsystems for Automotive Applications, Berlin Germany, December 1996.
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G. Indiveri, J. Kramer, and C. Koch Parallel analog VLSI architectures for computation of heading direction and time-to-contact,in Advances in Neural Information Processing Systems 8, D. S. Touretzky, M. C. Mozer, M. E. Hasselmo, eds., MIT Press, 1996.
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G. Indiveri, J. Kramer, and C. Koch. Analog VLSI architecture for computing heading direction, in IEEE Proc. Intelligent Vehicles, Detroit , pp. 24--29, 1995.
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G. Indiveri and G.M. Bisio. Analog subtheshold VLSI implementation of a neuromorphic model of the visual cortex for pre-attentive vision. in Proc. of the Fourth International Conference on Microelectronics for Neural Networks and Fuzzy Systems, Torino, Italy, 1994, pp. 439--448. Computer Society Press, 1994. (best student paper)
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L. Raffo, S.P. Sabatini, G. Indiveri, D.D. Caviglia, and G.M. Bisio. An active resistor mesh embedding cortical visual processing, in Proc. ICANN93, p. 250, Amsterdam NL, September 1993.
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G.M. Bisio, D.D. Caviglia, G. Indiveri, L. Raffo, and S.P. Sabatini. A neural model of cortical cells characterized by Gabor-like receptive fields-Application to texture segmentation, in I.Aleksander and J. Taylor, editors, Artificial Neural Networks 2, volume 2, pp. 917--920. Elsevier Science, 1992.