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Neuromorphic computing based on artificial synapses requires devices capable of gradual, repeatable, and energy-efficient conductance modulation. Ionically gated transistors are promising candidates b...
Ionically Gated Transistors
Electric Double Layer
Neuromorphic Computing
Artificial Neural Network
Weight Update Nonlinearity
Conductance States
The transition from effortful to automatic processing is a defining feature of skill acquisition, and converging evidence implicates theta-gamma phase-amplitude coupling as the neural signature of thi...
Equilibrium Propagation
Landau-Ginzburg wave field
holographic readout
hierarchical predictive coding
backpropagation-free learning
theta-gamma phase-amplitude coupling
Chrono-Resonant Field Model
hierarchical automaticity
predictive processing
Kuramoto order parameter
continuous wave field computing
underdamped settling dynamics
photonic neural networks
neuromorphic computing
TIMIT speech recognition
SinoXiv