• Upasna Jamwal
• Inamul Haq Wani

Transistor-based artificial synapses have been paid much attention in recent years because of their good stability, clear operation mechanism, possibility of multi terminal operation, and can be constructed from a variety of materials. In addition, they can perform concurrent learning to perform synaptic weight updates without interrupting the signal transmission process. Through proper material selection and structural design, transistors can convert external stimulus (light, pressure, temperature, etc.) into the electrical signal, which provides the possibility of implementing sensory synapses with sensorimotor functions as well as achieving synergistic control of one device by two or more signals. However, the development of transistor-based artificial synapses is still in its very early stages. Herein, this article presents a review of recent advances in transistor-based artificial synapses in order to give a guideline for future implementation of synaptic functions with transistors.

P-N junctions, BJT Transistor, PNP and NPN types.

"An Over of Transistor and its Type", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.n172-n178, April-2024, Available :http://www.jetir.org/papers/JETIR2404D21.pdf

"An Over of Transistor and its Type", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppn172-n178, April-2024, Available at : http://www.jetir.org/papers/JETIR2404D21.pdf