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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
Published on: March 2, 2015
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Spatiotemporal Information Processing Emulated by Multiterminal Neuro-Transistor Networks.
Yongli He1, Sha Nie1, Rui Liu1
1School of Electronic Science & Engineering and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, 210093, China.
Advanced Materials (Deerfield Beach, Fla.)
|April 9, 2019
Summary
New oxide-based neuro-transistors process spatiotemporal information, mimicking brain function. These devices show promise for artificial neural networks and understanding cortical computation.
Area of Science:
- Neuroscience
- Materials Science
- Computer Engineering
Background:
- Sensory stimuli generate action potentials, crucial for neural processing.
- The timing of neural signals encodes stimulus features.
- Discriminating spatiotemporal input sequences is vital for cortical function.
Purpose of the Study:
- To propose novel oxide-based neuro-transistors for spatiotemporal information processing.
- To mimic dendritic discriminability in artificial systems.
- To explore applications in fundamental cortical computation and neural emulation.
Main Methods:
- Development of capacitively coupled multiterminal oxide-based neuro-transistors.
- Experimental validation of device functionality.
- Construction of a simple artificial neural network using these devices.
Main Results:
- Demonstrated that multiterminal neuro-transistors can process spatiotemporal input sequences.
- Showcased the devices' capability as spatiotemporal information processing compartments.
- Successfully emulated human brain's sound localization using the artificial neural network.
Conclusions:
- Oxide-based multiterminal neuro-transistors offer a new platform for spatiotemporal information processing.
- These devices can serve as fundamental building blocks for neuromorphic computing.
- The study provides a pathway for emulating complex neural functions like sound localization.
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