Title :
A switched capacitor implementation of the generalized linear integrate-and-fire neuron
Author :
Folowosele, Fopefolu ; Harrison, Andre ; Cassidy, Andrew ; Andreou, Andreas G. ; Etienne-Cummings, Ralph ; Mihalas, Stefan ; Niebur, Ernst ; Hamilton, Tara Julia
Author_Institution :
Electr. & Comput. Eng. Dept., Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
In this paper we present the circuits and simulation results for a silicon neuron which is based on a modified version of the Mihalas-Niebur neural model. This silicon neuron produces 15 of the 20 known neural spiking and bursting behaviors. It has low complexity and reliable matching and can thus be easily integrated into more complex neuromorphic systems. Implemented in a 0.15 mum 1.5 V CMOS process, each neuron consumes about 7.5 nW of power at 1 kHz and occupies an area of 70 mum by 70 mum.
Keywords :
CMOS integrated circuits; capacitor switching; circuit simulation; elemental semiconductors; neural nets; silicon; CMOS process; Mihalas-Niebur neural model; Si; frequency 1 kHz; neural network; neural spiking; neuromorphic systems; power 7.5 mW; size 0.15 mum; switched capacitor; voltage 1.5 V; CMOS process; Capacitors; Circuit simulation; Integrated circuit reliability; Neuromorphics; Neurons; Power system modeling; Power system reliability; Semiconductor device modeling; Silicon;
Conference_Titel :
Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-3827-3
Electronic_ISBN :
978-1-4244-3828-0
DOI :
10.1109/ISCAS.2009.5118221
