Title :
Can neural circuit structure define its signal patterns?
Author_Institution :
Sch. of Sci., Eng. & Technol., Pennsylvania State Univ., Harrisburg, PA
Abstract :
In this study, a comprehensive neuronal model of a living central pattern generator network was implemented in custom analog VLSI hardware. After the model was designed and assembled, signals denoting membrane potential in each cell were seen to compare faithfully and regularly with those in their living counterparts, but as key cell parameters were varied, the network was observed to settle into alternate signal patterns and rhythms. This suggests that defining the structure of a nerve network is not enough to specify the signals that will reside therein
Keywords :
VLSI; analogue processing circuits; aquaculture; bioelectric potentials; biological techniques; biomembrane transport; living systems; neural chips; neurophysiology; physiological models; VLSI neuromime; cell parameters; custom analog VLSI hardware; living central pattern generator network; medicinal leech; membrane potential; model; nerve network structure; neuronal model; rhythms; signal patterns; Assembly; Biological system modeling; Biomembranes; Cells (biology); Circuits; Mathematical model; Rhythm; Steady-state; Testing; Very large scale integration;
Conference_Titel :
Bioengineering Conference, 1997., Proceedings of the IEEE 1997 23rd Northeast
Conference_Location :
Durham, NH
Print_ISBN :
0-7803-3848-0
DOI :
10.1109/NEBC.1997.594935