Compact and Energy Efficient Neuron With Tunable Spiking Frequency in 22-nm FDSOI
Hossein Eslahi, Tara Julia Hamilton, Sourabh Khandelwal
Abstract
In this paper, we present a mixed-signal integrate and fire neuron designed in a 22-nm FDSOI technology. In this novel design, we deploy the back-gate terminal of FDSOI technology for a tunable design. For the first time, we show analytically and with pre- and post-layout simulations a neuron with tunable spiking frequency using the back-gate voltage of FDSOI technology. The neuron circuit is designed in the sub-threshold region and dissipates an ultra-low energy per spike of the order of Femto Joules per spike. With the layout area of only 30 μ<i>m</i><sup>2</sup>, this is the smallest neuron circuit reported to date.
Topics & Concepts
VoltageSpike (software development)Energy (signal processing)CMOSElectrical engineeringThreshold voltageLogic gateElectronic engineeringComputer scienceOptoelectronicsPhysicsEngineeringTransistorQuantum mechanicsSoftware engineeringAdvanced Memory and Neural ComputingNeural Networks and Reservoir ComputingNeural dynamics and brain function