TiO <sub>2</sub> Nanowire Array Memristive Devices Emulating Functionalities of Biological Synapses

نویسندگان

چکیده

Memristors are deemed to be the electrical twin biological synapses. They enable emulation of human memory functionalities such as learning, memorizing, and forgetting. The present hydrothermally grown titanium dioxide nanowire array memristive devices have shown able mimic synaptic behaviors. As well spike-rate dependent plasticity, excitatory postsynaptic currents, paired pulse facilitation, high endurance, on/off ratios for arrays presented. Decay fitting currents with Kohlrausch's equation shows lifetimes few milliseconds up several hundred seconds, offering possibility a short-term long-term transition. Furthermore, strong dependence lifetime signals on frequency amplitude stimulation pulses is observed.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Emulating short-term synaptic dynamics with memristive devices

Neuromorphic architectures offer great promise for achieving computation capacities beyond conventional Von Neumann machines. The essential elements for achieving this vision are highly scalable synaptic mimics that do not undermine biological fidelity. Here we demonstrate that single solid-state TiO2 memristors can exhibit non-associative plasticity phenomena observed in biological synapses, s...

متن کامل

Emulating long-term synaptic dynamics with memristive devices

The potential of memristive devices is often seeing in implementing neuromorphic architectures for achieving brain-like computation. However, the designing procedures do not allow for extended manipulation of the material, unlike CMOS technology, the properties of the memristive material should be harnessed in the context of such computation, under the view that biological synapses are memristo...

متن کامل

Memristive synapses are becoming reality

A synapse is essentially a programmable wire used to connect groups of neurons together. The human brain possesses approximately 10 billion neurons, each of which has direct synaptic connections to approximately 10,000 neurons. Neuromorphic computers aimed at mimicking biological computation, and which have numbers of neurons and synapses approaching biological scale, can be modeled with superc...

متن کامل

Memristive devices for computing.

Memristive devices are electrical resistance switches that can retain a state of internal resistance based on the history of applied voltage and current. These devices can store and process information, and offer several key performance characteristics that exceed conventional integrated circuit technology. An important class of memristive devices are two-terminal resistance switches based on i...

متن کامل

Neuromorphic computing with multi-memristive synapses

Brain-inspired neuromorphic computing has recently emerged as a promising avenue towards building the next generation of intelligent computing systems. It has been proposed that memristive devices, which exhibit history-dependent conductivity modulation, could be used to efficiently represent the strength of synaptic connections between the neuronal nodes in neural networks. However, precise mo...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Advanced electronic materials

سال: 2021

ISSN: ['2199-160X']

DOI: https://doi.org/10.1002/aelm.202000950