Haque, M.N.Khan, S.R.Islam, M.T.Naik, J.D.Al-Shidaifat, A.D.Kumar, S.Song, H.2026-02-062023Lecture Notes in Networks and Systems, 2023, Vol.554, , p. 457-46323673370https://doi.org/10.1007/978-981-19-6661-3_41https://idr.nitk.ac.in/handle/123456789/29646Very large-scale integration (VLSI) implementations of spiking neurons are vital for a range of applications, from high-speed modeling of large neural systems to real-time behavioral systems and bidirectional brain-machine interfaces. The circuit solution utilized to implement the silicon neuron is determined by the application’s needs. This paper describes an ultralow-power analog circuit for realizing a leaky integrate and fire neuron model. The suggested circuit comprises parts for executing spike-frequency adaptation and modifying the neuron’s threshold voltage, in addition to being designed for low-power consumption. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.Artificial neuronIntegrated and fire neuronNeural networkNeuromorphic computingSilicon neuron circuit