Ultralow Power In-Sensor Neuronal Computing with Oscillatory Retinal Neurons for Frequency-Multiplexed, Parallel Machine Vision-Reference-Cited by-同舟云学术

Ultralow Power In-Sensor Neuronal Computing with Oscillatory Retinal Neurons for Frequency-Multiplexed, Parallel Machine Vision

Published:2024-08-14 Issue:34 Volume:18 Page:23785-23796
ISSN:1936-0851
Container-title:ACS Nano
language:en
Short-container-title:ACS Nano

Author:

Ahsan Ragib¹^ORCID,Chae Hyun Uk¹^ORCID,Jalal Seyedeh Atiyeh Abbasi¹,Wu Zezhi¹,Tao Jun¹,Das Subrata¹,Liu Hefei¹^ORCID,Wu Jiang-Bin¹^ORCID,Cronin Stephen B.¹^ORCID,Wang Han¹^ORCID,Sideris Constantine¹,Kapadia Rehan¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California 90089, United States

Funder

Air Force Office of Scientific Research

University of Southern California

Office of Naval Research

U.S. Department of Energy

Division of Materials Research

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsnano.4c09055

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2. Energy-Efficient Motion-Triggered IoT CMOS Image Sensor With Capacitor Array-Assisted Charge-Injection SAR ADC

3. ShiDianNao

4. 5.10 A 1280×720 Back-Illuminated Stacked Temporal Contrast Event-Based Vision Sensor with 4.86µm Pixels, 1.066GEPS Readout, Programmable Event-Rate Controller and Compressive Data-Formatting Pipeline

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