Table 1.
Synaptic and neuromorphic functions mimicked on three terminal neuromorphic transistors.
| Type | Channel | Synaptic and neuromorphic functions | Ref |
|---|---|---|---|
| FGT | MoS2 | STP/LTP, PPF, Pattern recognition | [55] [74] [56] [75] [76] |
| Pentacene | EPSC,PPF, PPD,STP,LTP, | ||
| PDVT-10 | EPSC, PPF/D, LTP/D, Pattern recognition | ||
| Pentacene | EPSC, PPF, Selective Detection | ||
| CNT | Detect sweet tastants | ||
| EDLT | DNTT | STP, LTP, SVDP | [77] [20] [78] [24] |
| ITO | STDP, Pavlovian Associative learning | ||
| In-Zn-O | EPSC, PPF, STP/LTP, Photoelectric P/D, STDP | ||
| IGZO | Spatiotemporal integration | ||
| 0D-CsPbBr3-QDs/2D-MoS2 | Dynamic filtering, Pavlovian associative learning | [42] [36] [79] [54] [57] [21] [80] [51] [81] |
|
| In2O3 | STP, LTP, 3D-object recognition | ||
| CNT | Perceptual learning, Pattern recognition | ||
| ITO | EPSC, PPF, Biological nociceptors, | ||
| Pentacene | Detect the curvature of the human wrist (0°-90°) | ||
| IGZO | High-pass filtering, Sound location | ||
| PTIIG-Np | SNDP, SDDP, SFDP, SVDP, Pattern recognition | ||
| PDVT-10 | Signal recognition, Sound location | ||
| ITO | Taste aversion learning | ||
| ECT | PEDOT: PSS/PEI | STM to LTM, Pavlovian learning | [82] [58] [83] [59] [84] [85] |
| PEDOT: Tos/PTHF | PPF, PTP, STP/LTP, Associative learning | ||
| PEDOT: PSS | Spatiotemporal dynamics | ||
| F16CuPc | Distinguish target gases | ||
| PCDTPT | EPSC, PPF, Simulating gas damage | ||
| InGdO nanofiber | Gas detection, Conditioning | ||
| FeFET | IGZO | Potentiation, Depression, Pattern recognition | [61] [86] [3] [87] |
| IGZO | Pattern recognition | ||
| AgNWs | PPF, LTP, LTD, Artificial neural network | ||
| Pentacene | PSC, PPR, Sensory memory |