Title :
Spectral noise-shaping in integrate-and-fire neural networks
Author :
Adams, Robert W.
Author_Institution :
Analog Devices Semicond., Wilmington, MA, USA
Abstract :
A theory of coordinated neuronal firing events is proposed that allows the low-noise transmission of analog signals through a network of coupled neurons. The inherently high noise levels of a biological neuron can be reduced over a specified frequency range using a network of interconnected neurons. These interconnections cause certain statistical temporal patterns to occur in the summed output of a modest number of neurons, and these temporal patterns can dramatically improve the signal-to-noise ratio over a given frequency range
Keywords :
analogue integrated circuits; analogue processing circuits; neural chips; statistical analysis; analog signals; biological neuron; coordinated neuronal firing events; integrate-and-fire neural networks; low-noise transmission; signal-to-noise ratio; spectral noise-shaping; statistical temporal patterns; Acoustic noise; Autocorrelation; Biological information theory; Frequency; Intelligent networks; Neural networks; Neurons; Noise shaping; Pulse shaping methods; Signal to noise ratio;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.618072
