Author

T. Pham

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Open access Sep 2026

Design and Verification of Adaptive LIF Neurons: From Single-Neuron Dynamics to Multi-Neuron Spiking Networks

This work contributes a 2nd-order adaptive LIF neuron with two-stage synaptic filtering for richer temporal dynamics; a fully connected six-neuron spiking network with configurable weights demonstrating weight-based inter-neuron communication; and a direct verification methodology enabling per-cycle observation of all...

T. Pham, Riadul Islam · Electronics · 0 citations

#artificial intelligence Preprint Sep 2026

DVA-Neurons: Design and Verification of Adaptive LIF Neurons: From Single-Neuron Dynamics to Multi-Neuron Spiking Networks

Spiking Neural Networks (SNNs) offer a promising path toward ultra-low-power artificial intelligence inference by emulating the event-driven computation of biological neurons. However, two challenges limit their practical deployment. First, fixed-parameter Leaky Integrate-and-Fire (LIF) neurons lack the adaptation mech...

T. Pham, Riadul Islam · 0 citations