DocumentCode
3382410
Title
A log-domain implementation of the Mihalas-Niebur neuron model
Author
Van Schaik, André ; Jin, Craig ; McEwan, Alistair ; Hamilton, Tara Julia ; Mihalas, Stefan ; Niebur, Ernst
Author_Institution
Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW, Australia
fYear
2010
fDate
May 30 2010-June 2 2010
Firstpage
4249
Lastpage
4252
Abstract
We present an electronic neuron that uses first-order log-domain low-pass filters to implement the Mihalas-Niebur model. The neuron consists of a leaky-integrate-and-fire core and building blocks to implement an adaptive threshold and spike induced currents. Simulation results show that this modular neuron can emulate different spiking behaviours observed in biological neurons.
Keywords
low-pass filters; neural nets; Mihalas-Niebur neuron model; adaptive threshold; biological neurons; first-order log-domain low-pass filters; leaky-integrate-and-fire core; modular neuron; spike induced currents; Biological system modeling; Biomembranes; Brain modeling; Circuits; Differential equations; Information filtering; Low pass filters; Neurons; Neuroscience; Threshold voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
Conference_Location
Paris
Print_ISBN
978-1-4244-5308-5
Electronic_ISBN
978-1-4244-5309-2
Type
conf
DOI
10.1109/ISCAS.2010.5537563
Filename
5537563
Link To Document