Simulation of a spiking neuron circuit using carbon nanotube transistors
- Departement of Physics, Faculty of Sciences, University of Gabes, Gabes (Tunisia)
- IKCE unit, Jazan University, Jazan (Saudi Arabia)
Neuromorphic engineering is related to the existing analogies between the physical semiconductor VLSI (Very Large Scale Integration) and biophysics. Neuromorphic systems propose to reproduce the structure and function of biological neural systems for transferring their calculation capacity on silicon. Since the innovative research of Carver Mead, the neuromorphic engineering continues to emerge remarkable implementation of biological system. This work presents a simulation of an elementary neuron cell with a carbon nanotube transistor (CNTFET) based technology. The model of the cell neuron which was simulated is called integrate and fire (I&F) model firstly introduced by G. Indiveri in 2009. This circuit has been simulated with CNTFET technology using ADS environment to verify the neuromorphic activities in terms of membrane potential. This work has demonstrated the efficiency of this emergent device; i.e CNTFET on the design of such architecture in terms of power consumption and technology integration density.
- OSTI ID:
- 22609055
- Journal Information:
- AIP Conference Proceedings, Vol. 1742, Issue 1; Conference: SIMFP2016: 5. Saudi international meeting on frontiers of physics, Gizan (Saudi Arabia), 16-18 Feb 2016; Other Information: (c) 2016 Author(s); Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
- Country of Publication:
- United States
- Language:
- English
Similar Records
Exponential Escape Rate of Filamentary Incubation in Mott Spiking Neurons
Three-terminal magnetic tunnel junction synapse circuits showing spike-timing-dependent plasticity