Artificial Synaptic Behavior of Aloe Polysaccharides-Based Device with Au as Top Electrode

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MRS Advances © 2019 Materials Research Society DOI: 10.1557/adv.2019.461

Artificial Synaptic Behavior of Aloe PolysaccharidesBased Device with Au as Top Electrode Z. X. Lim1, I. A. Tayeb1, Z. A. A. Hamid1, M. F. Ain2, A. M. Hashim3, J. M. Abdullah4, A. A. Sivkov5, F. Zhao5, and K. Y. Cheong1 1

Electronic Materials Research Group, School of Materials & Mineral Resources Engineering, Universiti Sains Malaysia, Nibong Tebal, Penang 14300, Malaysia

2

School of Electrical & Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Penang 14300, Malaysia 3

Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur 54100, Malaysia

4

Brain Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia Health Campus, Jalan Hospital USM, 16150 Kubang Kerian, Kota Bahru, Kelantan, Malaysia 5

Nanoelectronic and Energy Laboratory, School of Engineering & Computer Science, Washington State University, Vancouver, WA 98686 USA

ABSTRACT

Formulated, processed, and dried Aloe polysaccharides thin film sandwiched between ITO as bottom electrode and Au as top electrode has been adopted as an artificial synapse to emulate behavior of neuromorphic computing. The synaptic plasticity or weight has been modulated with this simple metal-insulator-metal structure by applying voltage sweep and voltage pulse, with excitatory postsynaptic current being monitored. Synaptic potentiation and depression has been demonstrated by applying 6 consecutive sweeps of voltage in positive and negative polarity, respectively. By varying number (10 – 50) of voltage pulses, variable synaptic weight has been measured with paired pulse facilitation and post-tetanic potentiation indexes of 2.61x10-6and 1.45x10-4, respectively. The short-term plasticity and long-term potentiation can be clearly revealed when applying 40 pulses and beyond, with extracted time constants of approximately 28 s at 40 pulses and 90 s at 50 pulses.

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INTRODUCTION Energy crisis and electronic waste are the two most critical global issues facing by mankind in this century. These issues are exponentially escalating with the growing dependency of Internet-of-Things and artificial intelligence [1]. The amount of computing power consumes by these applications are humongous and this is worsen when it is strongly relying on conventional von Neumann architecture where huge energy wastage is observed [2]. Worsening the situation is the intentionally or unintentionally disposal of smart electronic gadgets, which contributes to the burden of electronic waste in landfill [3]. The consequences of these issues are well reported [4, 5]. Hence, numerous strategies have been adopted to address these issues but no one single strategy can be used to resolve it successfully [6