DocumentCode :
1247441
Title :
A bio-physically inspired silicon neuron
Author :
Farquhar, Ethan ; Hasler, Paul
Author_Institution :
Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
52
Issue :
3
fYear :
2005
fDate :
3/1/2005 12:00:00 AM
Firstpage :
477
Lastpage :
488
Abstract :
The physical principles governing ion flow in biological neurons share interesting similarities to electron flow through the channels of MOSFET transistors. Here, is described a circuit which exploits the similarities better than previous approaches to build an elegant circuit with electrical properties similar to real biological neurons. A two-channel model is discussed including sodium (Na+) and potassium (K+). The Na+ channel uses four transistors and two capacitors. The K+ channel uses two transistors and one capacitor. One more capacitor simulates the neuron membrane capacitance yielding a total circuit of four capacitors and six transistors. This circuit operates in real-time, is fabricated on standard CMOS processes, runs in subthreshold, and has a power supply similar to that of real biology. Voltage and current responses of this circuit correspond well with biology in terms of shape, magnitude, and time.
Keywords :
CMOS integrated circuits; MOSFET; bioelectric potentials; capacitors; neural nets; CMOS process; MOSFET transistor; analog circuits; bioelectric potentials; biological cells; biological neurons; biophysically inspired silicon neuron; capacitors; electron flow; nervous system; neuron membrane capacitance; two-channel model; Biological system modeling; Biomembranes; CMOS process; Capacitance; Capacitors; Circuit simulation; Electrons; MOSFET circuits; Neurons; Silicon; Analog circuits; bioelectric potentials; biological cells; nervous system;
fLanguage :
English
Journal_Title :
Circuits and Systems I: Regular Papers, IEEE Transactions on
Publisher :
ieee
ISSN :
1549-8328
Type :
jour
DOI :
10.1109/TCSI.2004.842871
Filename :
1406175
Link To Document :
بازگشت