journal article·2019-09

A Transparent Photonic Artificial Visual Cortex

Mohit Kumar, Tapobrata Som, Joondong Kim

Advanced Materials· Volume 31· Issue 39
Publisher page

Abstract

Abstract Mimicking brain‐like functionality with an electronic device is an essential step toward the design of future technologies including artificial visual and memory applications. Here, a proof‐of‐concept all‐oxide‐based (NiO/TiO2) highly transparent (54%) heterostructure is proposed and demonstrated, which mimics the primitive functions of the visual cortex. Specifically, orientation selectivity and spatiotemporal processing similar to that of the visual cortex are demonstrated using direct optical stimuli under the self‐biased condition due to photovoltaic effect, illustrating an energy‐efficient approach for neuromorphic computing. The photocurrent of the device can be modulated from zero to 80 µA by simply rotating the slit by 90°. The device shows fast rise and fall times of 3 and 6 ms, respectively. Based on Kelvin probe force measurements, the observed results are attributed to a lateral photovoltaic effect. This highly transparent, self‐biased, photonic triggered device paves the way for the advancement of energy‐efficient neuromorphic computation.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Neural Networks and Reservoir Computing · Photoreceptor and optogenetics research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Photoelectric and Energy Device Application Lab (PEDAL) Multidisciplinary Core Institute for Future Energies (MCIFE) and Department of Electrical Engineering Incheon National University 119 Academy Rd. Yeonsu Incheon 22012 Republic of Korea

SUNAG Laboratory Institute of Physics Bhubaneswar 751 005 Odisha India

Homi Bhabha National Institute Training School Complex Anushakti Nagar Mumbai 400 085 India

Funding

National Research Foundation of Korea · Ministry of Education

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