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Third-order nanocircuit elements for neuromorphic engineering

Nature, 2020
Current hardware approaches to biomimetic or neuromorphic artificial intelligence rely on elaborate transistor circuits to simulate biological functions. However, these can instead be more faithfully emulated by higher-order circuit elements that naturally express neuromorphic nonlinear dynamics1-4.
Suhas Kumar   +2 more
exaly   +3 more sources

Reservoir Computing with Charge‐Trap Memory Based on a MoS2 Channel for Neuromorphic Engineering

Advanced Materials, 2023
Piergiulio Mannocci   +2 more
exaly  

Neuromorphic Neural Engineering Framework-Inspired Online Continuous Learning with Analog Circuitry

Applied Sciences (Switzerland), 2022
Elishai Ezra Tsur, Ezra Tsur Elishai
exaly  

Neuromorphic Engineering: From Biological to Spike‐Based Hardware Nervous Systems

Advanced Materials, 2020
Jia-Qin Yang, Ruopeng Wang, Yi Ren
exaly  

Advanced Optoelectronic Devices for Neuromorphic Analog Based on Low‐Dimensional Semiconductors

Advanced Functional Materials, 2023
Duanyang Liu   +2 more
exaly  

Neuromorphic Active Pixel Image Sensor Array for Visual Memory

ACS Nano, 2021
Seongin Hong   +2 more
exaly  

Neuromorphic Engineering for Hardware Computational Acceleration and Biomimetic Perception Motion Integration

Advanced Intelligent Systems, 2020
Shuiyuan Wang   +2 more
exaly  

Modeling, simulation, and implementation issues of CPGs for neuromorphic engineering applications

Computer Applications in Engineering Education, 2018
Nimet Korkmaz   +2 more
exaly  

How we created neuromorphic engineering

Nature Electronics, 2020
Mead Carver
exaly  

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