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Nat Commun. 2014;5:3158. doi: 10.1038/ncomms4158.

Artificial synapse network on inorganic proton conductor for neuromorphic systems.

Author information

1
1] Jiangsu Provincial Key Laboratory of Photonic and Electronic Materials, School of Electronic Science & Engineering, Nanjing University, Nanjing 210093, People's Republic of China [2] Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, People's Republic of China.
2
Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, People's Republic of China.
3
Jiangsu Provincial Key Laboratory of Photonic and Electronic Materials, School of Electronic Science & Engineering, Nanjing University, Nanjing 210093, People's Republic of China.

Abstract

The basic units in our brain are neurons, and each neuron has more than 1,000 synapse connections. Synapse is the basic structure for information transfer in an ever-changing manner, and short-term plasticity allows synapses to perform critical computational functions in neural circuits. Therefore, the major challenge for the hardware implementation of neuromorphic computation is to develop artificial synapse network. Here in-plane lateral-coupled oxide-based artificial synapse network coupled by proton neurotransmitters are self-assembled on glass substrates at room-temperature. A strong lateral modulation is observed due to the proton-related electrical-double-layer effect. Short-term plasticity behaviours, including paired-pulse facilitation, dynamic filtering and spatiotemporally correlated signal processing are mimicked. Such laterally coupled oxide-based protonic/electronic hybrid artificial synapse network proposed here is interesting for building future neuromorphic systems.

PMID:
24452193
DOI:
10.1038/ncomms4158
[Indexed for MEDLINE]

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