An artificial bridge circuit approach between two biological neurons using nanoscale topologies towards paralytic disorders
| dc.contributor.author | Haque, M.N. | |
| dc.contributor.author | Gorre, P. | |
| dc.contributor.author | Naik, D.N. | |
| dc.contributor.author | Kumar, S. | |
| dc.contributor.author | Al-Shidaifat, A. | |
| dc.contributor.author | Song, H. | |
| dc.date.accessioned | 2026-02-04T12:26:36Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | The 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.citation | Microelectronics Journal, 2023, 135, , pp. - | |
| dc.identifier.issn | 9598324 | |
| dc.identifier.uri | https://doi.org/10.1016/j.mejo.2023.105722 | |
| dc.identifier.uri | https://idr.nitk.ac.in/handle/123456789/21909 | |
| dc.publisher | Elsevier Ltd | |
| dc.subject | Bridge circuits | |
| dc.subject | CMOS integrated circuits | |
| dc.subject | Electrodes | |
| dc.subject | Integrated circuit design | |
| dc.subject | Low power electronics | |
| dc.subject | Nanotechnology | |
| dc.subject | Neural networks | |
| dc.subject | Neurons | |
| dc.subject | Timing circuits | |
| dc.subject | Biological neuron | |
| dc.subject | Fire neurons | |
| dc.subject | Leaky integrator and fire neuron | |
| dc.subject | Multi channel sensors | |
| dc.subject | Multichannel sensor electrode | |
| dc.subject | Nano scale | |
| dc.subject | Neural systems | |
| dc.subject | Pulse-based neural system | |
| dc.subject | Sensor electrodes | |
| dc.subject | Spike plasticity | |
| dc.subject | Operational amplifiers | |
| dc.title | An artificial bridge circuit approach between two biological neurons using nanoscale topologies towards paralytic disorders |
