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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
40
Citations
9334
World Ranking
4409
National Ranking
1572

Overview

Duygu Kuzum is affiliated with the University of California, San Diego in the United States. Their research spans multiple disciplines, primarily focusing on Neuroscience and Engineering.

The scientist's work covers several main fields of study:

  • Neuroscience
  • Engineering

Within these broader fields, Kuzum has engaged in several subfields including:

  • Electrical and Electronic Engineering
  • Cellular and Molecular Neuroscience
  • Cognitive Neuroscience
  • Artificial Intelligence
  • Biomedical Engineering

The main research topics include:

  • Advanced Memory and Neural Computing
  • Neuroscience and Neural Engineering
  • Neural dynamics and brain function
  • Photoreceptor and optogenetics research
  • Ferroelectric and Negative Capacitance Devices
  • Neural Networks and Reservoir Computing
  • Machine Learning and ELM

Kuzum has contributed to several frequent publication venues, such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Nanotechnology
  • Nature Communications
  • IEEE Transactions on Electron Devices
  • arXiv (Cornell University)

Recent papers authored or co-authored by Duygu Kuzum include:

  • Energy-efficient Mott activation neuron for full-hardware implementation of neural networks, 2021, Nature Nanotechnology
  • Multimodal monitoring of human cortical organoids implanted in mice reveal functional connection with visual cortex, 2022, Nature Communications
  • Multi-level, forming and filament free, bulk switching trilayer RRAM for neuromorphic computing at the edge, 2024, Nature Communications
  • Multimodal neural recordings with Neuro-FITM uncover diverse patterns of cortical-hippocampal interactions, 2021, Nature Neuroscience
  • High-density transparent graphene arrays for predicting cellular calcium activity at depth from surface potential recordings, 2024, Nature Nanotechnology

Frequent co-authors who have collaborated with Kuzum over multiple publications include:

  • Xin Liu
  • Mehrdad Ramezani
  • Madison N. Wilson
  • Yichen Lu
  • Sangheon Oh

Best Publications

  • Nanoelectronic programmable synapses based on phase change materials for brain-inspired computing.

    Duygu Kuzum;Rakesh G. D. Jeyasingh;Byoungil Lee;H.-S. Philip Wong

  • Synaptic electronics: materials, devices and applications

    Duygu Kuzum;Duygu Kuzum;Shimeng Yu;Shimeng Yu;H-S Philip Wong

  • An Electronic Synapse Device Based on Metal Oxide Resistive Switching Memory for Neuromorphic Computation

    Shimeng Yu;Yi Wu;R. Jeyasingh;D. Kuzum

  • Artificial optic-neural synapse for colored and color-mixed pattern recognition

    Seunghwan Seo;Seo Hyeon Jo;Sungho Kim;Jaewoo Shim

  • Transparent, flexible, low-noise graphene electrodes for simultaneous electrophysiology and neuro-imaging

    Duygu Kuzum;Ertugrul Cubukcu;Brian Litt

  • Bioresorbable silicon electronics for transient spatiotemporal mapping of electrical activity from the cerebral cortex

    Ki Jun Yu;Duygu Kuzum;Duygu Kuzum;Suk Won Hwang;Bong Hoon Kim

  • On the Correct Extraction of Interface Trap Density of MOS Devices With High-Mobility Semiconductor Substrates

    K. Martens;Chi On Chui;G. Brammertz;B. De Jaeger

  • Ge-Interface Engineering With Ozone Oxidation for Low Interface-State Density

    D. Kuzum;T. Krishnamohan;A.J. Pethe;A.K. Okyay

  • Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array

    Sukru Burc Eryilmaz;Duygu Kuzum;Rakesh Gnana David Jeyasingh;SangBum Kim

  • Flexible Neural Electrode Array Based-on Porous Graphene for Cortical Microstimulation and Sensing.

    Yichen Lu;Hongming Lyu;Andrew G. Richardson;Timothy H. Lucas

  • Deep 2-photon imaging and artifact-free optogenetics through transparent graphene microelectrode arrays.

    Martin Thunemann;Yichen Lu;Xin Liu;Kıvılcım Kılıç

  • N-Channel Germanium MOSFET Fabricated Below 360 $^{ \circ}\hbox{C}$ by Cobalt-Induced Dopant Activation for Monolithic Three-Dimensional-ICs

    Jin-Hong Park;D Kuzum;Woo-Shik Jung;K C Saraswat

  • Energy-efficient Mott activation neuron for full-hardware implementation of neural networks.

    Sangheon Oh;Yuhan Shi;Javier del Valle;Pavel Salev

  • Ge (100) and (111) N- and P-FETs With High Mobility and Low- $T$ Mobility Characterization

    D. Kuzum;A.J. Pethe;T. Krishnamohan;K.C. Saraswat

  • High-Mobility Ge N-MOSFETs and Mobility Degradation Mechanisms

    Duygu Kuzum;Tejas Krishnamohan;Aneesh Nainani;Yun Sun

  • Low-Energy Robust Neuromorphic Computation Using Synaptic Devices

    D. Kuzum;R. G. D. Jeyasingh;Shimeng Yu;H.-S P. Wong

  • Neuroinspired unsupervised learning and pruning with subquantum CBRAM arrays

    Yuhan Shi;Leon Nguyen;Sangheon Oh;Xin Liu

  • Device and system level design considerations for analog-non-volatile-memory based neuromorphic architectures

    S. Burc Eryilmaz;Duygu Kuzum;Shimeng Yu;H.-S. Philip Wong

  • Interface-Engineered Ge (100) and (111), N- and P-FETs with High Mobility

    D. Kuzum;A.J. Pethe;T. Krishnamohan;Y. Oshima

  • Ultralow Impedance Graphene Microelectrodes with High Optical Transparency for Simultaneous Deep Two‐Photon Imaging in Transgenic Mice

    Yichen Lu;Xin Liu;Ryoma Hattori;Chi Ren

Frequent Co-Authors

Krishna C. Saraswat
Krishna C. Saraswat Stanford University
H.-S. Philip Wong
H.-S. Philip Wong Stanford University
Shimeng Yu
Shimeng Yu Georgia Institute of Technology
Ali Kemal Okyay
Ali Kemal Okyay Stanford University
Paul C. McIntyre
Paul C. McIntyre Stanford University
Chung H. Lam
Chung H. Lam IBM (United States)
Sang-Bum Kim
Sang-Bum Kim Seoul National University
David A. B. Miller
David A. B. Miller Stanford University
Volker J. Sorger
Volker J. Sorger George Washington University
Deji Akinwande
Deji Akinwande The University of Texas at Austin

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