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Spatiotemporal Information Processing
In article number 2108440, Ye Zhou and co‐workers design a 2D heterostructure‐based memtransistor to emulate the Bienenstock–Cooper–Munro theory, since such structures not only induce a spontaneous forgetting process but also offer another gate‐tunable forgetting effect. The BCM learning rule is perfectly demonstrated on this memtransistor using triplet‐STDP....
The Bienenstock, Cooper, and Munro (BCM) theory of synaptic plasticity is regarded as the most precise model of the synapse, and is more compatible with neuromorphic computing. However, the development in BCM synaptic modification is rather limited since the memristive devices used to emulate the BCM lack tunable forgetting rate. Compared with memristors, memtransistors provide another gate‐tunable...
The mimicking of both homosynaptic and heterosynaptic plasticity using a high‐performance synaptic device is important for developing human‐brain–like neuromorphic computing systems to overcome the ever‐increasing challenges caused by the conventional von Neumann architecture. However, the commonly used synaptic devices (e.g., memristors and transistors) require an extra modulate terminal to mimic...
Memtransistors
In article number 2103175, Ye Zhou and co‐workers utilize two‐dimensional WSe2 as channel material to fabricate a memtransistor for synaptic plasticity simulation. Benefitting from the multi‐terminal input and high adjustability, the memtransistor can mimic both homosynaptic and heterosynaptic plasticity without introducing an extra terminal and can simultaneously offer versatile reconfigurability...
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