A super Threshold Compact Silicon Neuron Circuit for Different Neuron Dynamics Suitable for Spiking Neural Network
- Resource Type
- Conference
- Authors
- Samanta, Sayantan; Naskar, Koushik; Pal, Souvanik; Mallik, Suman; Ghosh, Sudipta; Roy, Swarnil
- Source
- 2022 IEEE International Conference of Electron Devices Society Kolkata Chapter (EDKCON) Electron Devices Society Kolkata Chapter (EDKCON), 2022 IEEE International Conference of. :570-575 Nov, 2022
- Subject
- Components, Circuits, Devices and Systems
Semiconductor device modeling
Energy consumption
Neuromorphics
Neurons
SPICE
FinFETs
Silicon
Neuromorphic computing
Analog
silicon Neuron
super threshold
- Language
In this work we have designed and simulated a compact accelerated time silicon neuron circuit in super threshold to achieve proper neural dynamics. With this circuit we have accurately modeled regular spiking (RS), fast spiking (FS), chattering (CH) and intrinsic bursting (IB). The functionality of this circuit is verified with extreme simulation in 32nm, 45nm and 22nm FinFET technology. For this circuits we have analyzed different comparator circuits to meet the required dynamics and concluded that threshold modified comparator serves our purpose best.