The memtransistor is an experimental multi-terminal electronic component that might be used in the construction of artificial neural networks.[1] It is a combination of the memristor and transistor.[2] Applications of memristor technology is limited by it being a two terminal device. The multiple connections of the memtransistor enable it to more accurately model a neuron with its multiple synaptic connections. A neural network produced from these would provide hardware-based artificial intelligence with a good foundation.[1][3]

Researchers at Northwestern University have fabricated a seven-terminal device fabricated on molybdenum disulfide (MoS
). One terminal controls the current between the other six.[4]


  1. ^ a b Li, Da; Liang, Xiaogan (22 February 2018). "Neurons mimicked by electronics". Nature. 554 (7693): 472–473. Bibcode:2018Natur.554..472L. doi:10.1038/d41586-018-02025-x. PMID 29469113.
  2. ^ Sangwan, V.K. et al 'Multi-terminal memtransistors from polycrystalline monolayer molybdenum disulfide' Nature Vol. 554 No. 7693, 22 February 2018 : DOI: 10.1038/nature25747  : pages 500-504
  3. ^ Northwestern University. "'Memtransistor' brings world closer to brain-like computing". Science X. Retrieved 24 March 2018.
  4. ^ Wang, Brian (24 February 2018). "Memtransistors advance neuromorphic computing". Retrieved 24 March 2018.