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19 September 2017 Organic neuromorphic devices based on electrochemical concepts (Conference Presentation)
Paschalis Gkoupidenis, Dimitrios Koutsouras, Thomas Lonjaret, Shahab Rezaei-Mazinani, Esma Ismailova, Jessamyn A. Fairfield, George G. Malliaras
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Proceedings Volume 10366, Hybrid Memory Devices and Printed Circuits 2017; 1036602 (2017) https://doi.org/10.1117/12.2272693
Event: SPIE Organic Photonics + Electronics, 2017, San Diego, California, United States
Abstract
Neuroinspired device architectures offer the potential of higher order functionalities in information processing beyond their traditional microelectronic counterparts. In the actual neural environment, neural processing takes place in a complex and interwoven network of neurons and synapses. In addition, this network is immersed in a common electrochemical environment and global parameters such as ionic concentrations and concentrations of various hormones regulate the overall behaviour of the network. Here, various concepts of organic neuromorphic devices are presented based on organic electrochemical transistors (OECTs). Regarding the implementation of neuromorphic devices, the key properties of the OECT that resemble the neural environment are also presented. These include the operation in liquid electrolyte environment, low power consumption and the ability of formation of massive interconnections through the electrolyte continuum. Showcase examples of neuromorphic functions with OECTs are demonstrated, including short-, long-term plasticity and spatiotemporal or distributed information processing.
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Paschalis Gkoupidenis, Dimitrios Koutsouras, Thomas Lonjaret, Shahab Rezaei-Mazinani, Esma Ismailova, Jessamyn A. Fairfield, and George G. Malliaras "Organic neuromorphic devices based on electrochemical concepts (Conference Presentation)", Proc. SPIE 10366, Hybrid Memory Devices and Printed Circuits 2017, 1036602 (19 September 2017); https://doi.org/10.1117/12.2272693
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KEYWORDS
Data processing
Transistors
Interfaces
Liquids
Microelectronics
Neurons
Synaptic plasticity
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