Spiking Neuron Implementation on CMOS Technology
1.61Energy per Spikeanalog LIF neuron
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| analog LIF neuronTechnology node=28 nm, Supp. Volt. (V)=0.25, Implementation=Analog, Neuron type=LIF, Time scale=Accelerated2024.08 | 1.61 | 3.47 | 300 | 34 | |
| Joubert et al. 2012Technology node=65 nm, Supp. Volt. (V)=1 V, Implementation=Analog, Neuron type=LIF, Time scale=Accelerated2024.08 | 2 | 500 | 1.9 | 120 | |
| Danneville et al. 2019Technology node=65 nm, Supp. Volt. (V)=0.2, Implementation=Analog, Neuron type=A-H, Time scale=Biological2024.08 | 2 | 5 | 15.6 | 34 | |
| Ferreira 2019Technology node=55 nm, Supp. Volt. (V)=(-0.1,0.1), Implementation=Analog, Neuron type=ML-based, Time scale=Accelerated2024.08 | 3.6 | 9 | 360 | 85 | |
| Sourikopoulos et al. 2017Technology node=65 nm, Supp. Volt. (V)=0.2, Implementation=Analog, Neuron type=ML-based, Time scale=Biological2024.08 | 4 | 4 | 26 | 35 | |
| Wijekoon et al. 2008Technology node=0.35 um, Supp. Volt. (V)=3.3, Implementation=Analog, Neuron type=Izhikevich, Time scale=Accelerated2024.08 | 9 | 100 | 1 | 2,800 | |
| Ronchini et al. 2020Technology node=180 nm, Supp. Volt. (V)=0.2, Implementation=Analog, Neuron type=Izhikevich, Time scale=Biological2024.08 | 58.5 | 35 | — | 472 | |
| Cruz-Albrecht et al. 2012Technology node=90 nm, Supp. Volt. (V)=1.2 V, Implementation=Analog, Neuron type=LIF, Time scale=Biological2024.08 | 400 | — | 100 | 442 | |
| Indiveri et al. 2006Technology node=0.35 um, Supp. Volt. (V)=3.3 V, Implementation=Analog, Neuron type=LIF, Time scale=Biological2024.08 | 900 | 432 | 200 | 2,573 |