An artificial bridge circuit approach between two biological neurons using nanoscale topologies towards paralytic disorders

dc.contributor.authorHaque, M.N.
dc.contributor.authorGorre, P.
dc.contributor.authorNaik, D.N.
dc.contributor.authorKumar, S.
dc.contributor.authorAl-Shidaifat, A.
dc.contributor.authorSong, H.
dc.date.accessioned2026-02-04T12:26:36Z
dc.date.issued2023
dc.description.abstractThe advent of Nanoscale IC technology towards pulse-based neural systems reactivates the dead nervous about restoring the functionality of paralytic disorders. This work reports in first time a design of a novel CMOS biological neuron system, which replaces a dead neuron between two neurons to restore communication in paralyzed individuals. The work binds into three stages: design of a spiking leaky Integrator and Fire (LIF) neuron with refractory period mechanisms, which achieves a low power consumption of 2.4 μW, in the first stage; an adaptive homeostatic synapse with short and long-term spike plasticity, that reconfigure the spiking neuron networks of multichannel sensor electrodes to record the electric signal from the active cell as second stage; the final stage presents a low-power common source current reuse regulated cascode (CS-CR-RGC) TIA for amplifying the weak synapse current signal, which achieves a high gain of 135.71 dBΩ with an optimized noise performance of 0.19 pA/Hz. The entire work is designed and implemented using a CMOS 65 nm commercial process that occupies a die area of 400 μm × 120 μm. © 2023
dc.identifier.citationMicroelectronics Journal, 2023, 135, , pp. -
dc.identifier.issn9598324
dc.identifier.urihttps://doi.org/10.1016/j.mejo.2023.105722
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/21909
dc.publisherElsevier Ltd
dc.subjectBridge circuits
dc.subjectCMOS integrated circuits
dc.subjectElectrodes
dc.subjectIntegrated circuit design
dc.subjectLow power electronics
dc.subjectNanotechnology
dc.subjectNeural networks
dc.subjectNeurons
dc.subjectTiming circuits
dc.subjectBiological neuron
dc.subjectFire neurons
dc.subjectLeaky integrator and fire neuron
dc.subjectMulti channel sensors
dc.subjectMultichannel sensor electrode
dc.subjectNano scale
dc.subjectNeural systems
dc.subjectPulse-based neural system
dc.subjectSensor electrodes
dc.subjectSpike plasticity
dc.subjectOperational amplifiers
dc.titleAn artificial bridge circuit approach between two biological neurons using nanoscale topologies towards paralytic disorders

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