Advanced Materials · 2023 · 26 citations · 34 references
EngineeringBioengineeringElectrical EngineeringNeural CircuitryNeural EngineeringSemiconductor DevicesMemristive MaterialsNeural CircuitsNeural InterfacesAdaptive PerceptionAdaptive Signal ProcessingCharge InjectionCharge Injection DevicesConductanceNeural Circuit FunctionNeuromorphic DevicesNeuromorphic Hardware
Abstract Hetero‐modulated neural activation is vital for adaptive information processing and learning that occurs in brain. To implement brain‐inspired adaptive processing, previously various neurotransistors oriented for synaptic functions are extensively explored, however, the emulation of nonlinear neural activation and hetero‐modulated behaviors are not possible due to the lack of threshold switching behavior in a conventional transistor structure. Here, a 2D van der Waals float gate transistor (FGT) that exhibits steep threshold switching behavior, and the emulation of hetero‐modulated neuron functions (integrate‐and‐fire, sigmoid type activation) for adaptive sensory processing, are reported. Unlike conventional FGTs, the threshold switching behavior stems from impact ionization in channel and the coupled charge injection to float gate. When a threshold is met, a sub‐30 mV dec −1 increase of transistor conductance by more than four orders is triggered with a typical switch time of approximately milliseconds. Essentially, by feeding light sensing signal as the modulation input, it is demonstrated that two typical tasks that rely on adaptive neural activation, including collision avoidance and adaptive visual perception, can be realized. These results may shed light on the emulation of rich hetero‐modulating behaviors in biological neurons and the realization of biomimetic neuromorphic processing at low hardware cost.
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Optoelectronic resistive random access memory for neuromorphic vision sensors
Feichi Zhou, Zheng Zhou, Jiewei Chen et al. · Nature Nanotechnology · 2019 · 1.3K citations
Stochastic phase-change neurons
Tomáš Tůma, Angeliki Pantazi, Manuel Le Gallo et al. · Nature Nanotechnology · 2016 · 1.1K citations