ArticleFrontiers in neuroscience2016
Leaky Integrate-and-Fire Neuron Circuit Based on Floating-Gate Integrator.
Article in Frontiers in neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Low power nanoscale S-FED based single ended sense amplifier applied in integrate and fire neuron circuit.Scientific reports · 2024Article
- Thermally stable threshold selector based on CuAg alloy for energy-efficient memory and neuromorphic computing applications.Nature communications · 2023Article
- Thalamocortical bistable switch as a theoretical model of fibromyalgia pathogenesis inferred from a literature survey.Journal of computational neuroscience · 2022Article
- Ultra-low-power switching circuits based on a binary pattern generator with spiking neurons.Scientific reports · 2022Article
- Spike-Based Approximate Backpropagation Algorithm of Brain-Inspired Deep SNN for Sonar Target Classification.Computational intelligence and neuroscience · 2022Article
- Integrate-and-Fire Neuron Circuit Without External Bias Voltages.Frontiers in neuroscience · 2021Article
- Scalable excitatory synaptic circuit design using floating gate based leaky integrators.Scientific reports · 2017Article
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Authors and funding
8 authors.
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Abstract
The artificial spiking neural network (SNN) is promising and has been brought to the notice of the theoretical neuroscience and neuromorphic engineering research communities. In this light, we propose a new type of artificial spiking neuron based on leaky integrate-and-fire (LIF) behavior. A distinctive feature of the proposed FG-LIF neuron is the use of a floating-gate (FG) integrator rather than a capacitor-based one. The relaxation time of the charge on the FG relies mainly on the tunnel barrier profile, e.g., barrier height and thickness (rather than the area). This opens up the possibility of large-scale integration of neurons. The circuit simulation results offered biologically plausible spiking activity (<100 Hz) with a capacitor of merely 6 fF, which is hosted in an FG metal-oxide-semiconductor field-effect transistor. The FG-LIF neuron also has the advantage of low operation power (<30 pW/spike). Finally, the proposed circuit was subject to possible types of noise, e.g., thermal noise and burst noise. The simulation results indicated remarkable distributional features of interspike intervals that are fitted to Gamma distribution functions, similar to biological neurons in the neocortex.
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