Title :
Neuromorphic noise shaping in coupled neuron populations
Author :
Marienborg, Jan-Tore ; Lande, Tor Sverre ; Høvin, Mats
Author_Institution :
Dept. of Inf., Oslo Univ., Norway
Abstract :
Noise shaping is well known from ΣΔ-conversion. This paper shows that similar effects can be achieved with models inspired by the human neuronal system. Structural similarities between a traditional ΣΔ-converter and a VLSI-model of a biological neuron are shown. A novel analogue VLSI-implementation of a coupled neuronal group is suggested, supported by a theoretical discussion on the effect of increasing the number of neurons, and on the benefit of an asynchronous system. Simulation-results from MATLAB and measured results are included.
Keywords :
VLSI; analogue processing circuits; integrated circuit noise; neural chips; sigma-delta modulation; ΣΔ-converter; MATLAB; VLSI-model; analogue VLSI-implementation; asynchronous system; biological neuron; coupled neuron populations; neuromorphic noise shaping; neuronal group; Biological system modeling; Frequency; Mathematical model; Neurofeedback; Neuromorphics; Neurons; Noise shaping; Pulse shaping methods; Signal to noise ratio; Space vector pulse width modulation;
Conference_Titel :
Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on
Print_ISBN :
0-7803-7448-7
DOI :
10.1109/ISCAS.2002.1010643
