Title :
Neuronal ion-channel dynamics in silicon
Author :
Hynna, Kai M. ; Boahen, Kwabena
Author_Institution :
Dept. of Bioeng., Pennsylvania Univ., Philadelphia, PA
Abstract :
We present a simple silicon circuit for modelling voltage-dependent ion channels found within neural cells, capturing both the gating particle´s sigmoidal activation (or inactivation) and the bell-shaped time constant. In its simplest form, our ion-channel analog consists of two MOS transistors and a unity-gain inverter. We present equations describing its nonlinear dynamics and measurements from a chip fabricated in a 0.25 mum CMOS process. The channel analog´s simplicity allows tens of thousands to be built on a single chip, facilitating the implementation of biologically realistic models of neural computation
Keywords :
CMOS logic circuits; MOSFET; logic gates; neural chips; silicon; 0.25 micron; CMOS process; MOS transistors; Si; bell-shaped time constant; gating particle; ion-channel analog; neural cells; neural computation; neuronal ion-channel dynamics; sigmoidal activation; unity-gain inverter; voltage-dependent ion channels; Biological system modeling; CMOS process; Circuits; Computational modeling; Inverters; MOSFETs; Nonlinear equations; Semiconductor device measurement; Silicon; Voltage;
Conference_Titel :
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location :
Island of Kos
Print_ISBN :
0-7803-9389-9
DOI :
10.1109/ISCAS.2006.1693409