Abstract
The paper describes the implementation of competitive neural structures based on a spiking neural model that includes multiplicative or shunting synapses enabling non-saturated stable states in response to different stationary inputs as well as controllable transient responses. A VLSI-viable implementation of this model has been previously proposed and tested [1]. It has the possibility of modulating the output spike frequency by an additional input without affecting other neuron variables such as the membrane potential. This feature is exploited in the simulation of a Selective Temporal Inhibition network that is suitable for implementing attentional control systems.
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Pelayo, F. J., Ros, E., Arreguit, X. and Prieto, A.: VLSI implementation of a neural model using spikes, Analog Integrated Circuits and Signal Processing, 13 (1/2) (1997), 111–121.
Sivilotti, M.: Wiring considerations in analog VLSI systems with applications to field programmable networks, Ph.D. dissertation, California Institute of Technology, 1991.
Mahowald, M.: Computation and neural systems, Ph.D. dissertation. California Institute of Technology, 1992.
Boahen, K.: Retinomorphic Vision Systems II: Communication Channel Design, ISCAS, Supplement, Atlanta, GA, pp. 14–19, 1996.
Mortara, A. and Vittoz, E. A.: A communication architecture tailored for analog VLSI artificial neural networks: Intrinsic performance and limitations, IEEE Trans. Neural Networks 5 (5), (May 1994), 459–466.
Mortara, A.: A pulsed communication/computation framework for analog VLSI perceptive systems, Analog Integrated Circuits and Signal Processing, 13 (1/2) (1997), 93–101.
Niebur, E. and Koch, C.: Control of selective visual attention: Modelling the “Where” pathway, Advances in Neural Information Processing Systems 8, (NIPS-8), pp. 802–808, 1996.
Grossberg, S.: Nonlinear neural networks: Principles, mechanisms, and architectures, Neural Networks 1 (1988), 17–61.
Morris, T. G. and Deweerth, S. P.: Analog VLSI excitatory feedback circuits for attentional shifts and tracking, Analog Integrated Circuits and Signal Processing, 13 (1/2) (1997), 79–91.
Grossberg, S.: The Adaptive Brain, Vol. I and II, Stephen Grossberg (ed.), Elsevier/North Holland, Amsterdam, 1987.
Martín-Smith, P.: Un Nuevo Modelo de Red Neuronal con Aprendizaje Competitivo, Ph.D. dissertation, Universidad de Granada, November 1997.
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Ros, E., Pelayo, F.J., Martin-Smith, P. et al. Competitive and Temporal Inhibition Structures with Spiking Neurons. Neural Processing Letters 11, 197–208 (2000). https://doi.org/10.1023/A:1009611609606
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DOI: https://doi.org/10.1023/A:1009611609606