Kongpoon, Metha
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Item type:Publication, A Voltage Mode Fully Differential Implementation of Mihalas-Niebur Neuron with Biological-Timescale(2018-07-02); Leelavattananon, KritsaponThis paper presents an implementation of the Mihalas-Niebur neuron model using voltage mode differential \mathbf{g}-{\mathbf{m} {\pmb{-}}} C filter based on a multiple input transconductor. The transconductance linearization technique was employed to achieve the biologically realistic time constant. With the moderate value of the bias current and the small size capacitors, the proposed neuron can exhibit different spiking and bursting patterns on the biological timescale. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Multiplier-less and compact FPGA implementation of Mihalas-Niebur neuron(2019-11-01); Leelavattananon, KritsaponThe modified Mihalas-Niebur neuron model suitable for a compact digital implementation is presented. Based on the modified model, a multiplier-less and compact Mihalas-Niebur neuron that uses word-length optimization and bitwise shifting operators for the multiplication was designed and implemented on an FPGA. The simulation results show that the proposed neuron successfully produces all 20 prominent spiking patterns with a few FPGA resources used.