Title :
Can a neural circuit support multiple signal patterns?
Author_Institution :
Sch. of Sci., Eng. & Technol., Penn State Univ., Harrisburg, PA, USA
fDate :
30 Oct-2 Nov 1997
Abstract :
In this study, a comprehensive cell-by-cell, synapse-by-synapse model of a living central pattern generator network was implemented in analog VLSI CMOS. In the final model, rhythms and waveforms for membrane potential in each cell were seen to compare faithfully and regularly with those of their living counterparts with nominal settings, but as key cell parameters were varied, the network assumed alternate signal patterns and rhythms. This suggests that neuromorphic structure is not enough to specify the signals that will occur in a nerve circuit. Cell parameters must be replicated as well
Keywords :
CMOS analogue integrated circuits; VLSI; bioelectric potentials; biomedical electronics; biomembranes; cellular biophysics; neurophysiology; physiological models; alternate signal patterns; analog VLSI CMOS; cell membrane potential; cell parameters; comprehensive cell-by-cell synapse-by-synapse model; living central pattern generator network; membrane potential; nerve circuit; neuromorphic structure; neurophysiological model; rhythms; waveforms; Biological system modeling; Biomembranes; CMOS technology; Circuit testing; Mathematical model; Neuromorphics; Oscillators; Rhythm; Semiconductor device modeling; Very large scale integration;
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-4262-3
DOI :
10.1109/IEMBS.1997.756637