Title :
Energy and information processing in biological and silicon sensory systems
Author :
Andreou, Andreas G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
A theoretical framework based on information theory is presented to compare the energetic efficiency of processing information in biological sensory and neuromorphic silicon systems
Keywords :
VLSI; information theory; neural chips; signal representation; VLSI; biological sensory systems; energetic efficiency; information theory; low power information processing; neuromorphic silicon systems; Bandwidth; Biological information theory; Biology computing; Biosensors; Communication channels; Entropy; Information processing; Power supplies; Signal processing; Silicon;
Conference_Titel :
Microelectronics for Neural, Fuzzy and Bio-Inspired Systems, 1999. MicroNeuro '99. Proceedings of the Seventh International Conference on
Conference_Location :
Granada
Print_ISBN :
0-7695-0043-9
DOI :
10.1109/MN.1999.758841
