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ICONIP
2008

Noise-Tolerant Analog Circuits for Sensory Segmentation Based on Symmetric STDP Learning

14 years 26 days ago
Noise-Tolerant Analog Circuits for Sensory Segmentation Based on Symmetric STDP Learning
Abstract. We previously proposed a neural segmentation model suitable for implementation with complementary metal-oxide-semiconductor (CMOS) circuits. The model consists of neural oscillators mutually coupled through synaptic connections. The learning is governed by a symmetric spike-timing-dependent plasticity (STDP). Here we demonstrate and evaluate the circuit operation of the proposed model with a network consisting of six oscillators. Moreover, we explore the effects of mismatch in the threshold voltage of transistors, and demonstrate that the network was tolerant to mismatch (noise). Key words: Analog circuits, Neural networks, Spiking neurons, STDP, Neural segmentation, Noise tolerance
Gessyca Maria Tovar, Tetsuya Asai, Yoshihito Amemi
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where ICONIP
Authors Gessyca Maria Tovar, Tetsuya Asai, Yoshihito Amemiya
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