Emre Neftci

Emre Neftci

University of California, Irvine

H-index: 29

North America-United States

About Emre Neftci

Emre Neftci, With an exceptional h-index of 29 and a recent h-index of 27 (since 2020), a distinguished researcher at University of California, Irvine, specializes in the field of Neuromorphic Engineering, Computational Neuroscience, Cognitive Systems and Behavior, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

The Ouroboros of Memristors: Neural Networks Facilitating Memristor Programming

Integration of physics-derived memristor models with machine learning frameworks

Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models

Error-triggered learning of multi-layer memristive spiking neural networks

Understanding and improving optimization in predictive coding networks

Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing

A Hybrid SNN-ANN Network for Event-based Object Detection with Spatial and Temporal Attention

ETLP: Event-based Three-factor Local Plasticity for online learning with neuromorphic hardware

Emre Neftci Information

University

Position

Assistant Professor Department of Cognitive Sciences and Department of Computer Science

Citations(all)

4584

Citations(since 2020)

3791

Cited By

1766

hIndex(all)

29

hIndex(since 2020)

27

i10Index(all)

53

i10Index(since 2020)

43

Email

University Profile Page

Google Scholar

Emre Neftci Skills & Research Interests

Neuromorphic Engineering

Computational Neuroscience

Cognitive Systems and Behavior

Machine Learning

Top articles of Emre Neftci

Title

Journal

Author(s)

Publication Date

The Ouroboros of Memristors: Neural Networks Facilitating Memristor Programming

arXiv preprint arXiv:2403.06712

Zhenming Yu

Ming-Jay Yang

Jan Finkbeiner

Sebastian Siegel

John Paul Strachan

...

2024/3/11

Integration of physics-derived memristor models with machine learning frameworks

arXiv preprint arXiv:2403.06746

Zhenming Yu

Stephan Menzel

John Paul Strachan

Emre Neftci

2024/3/11

Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models

Proceedings of the AAAI Conference on Artificial Intelligence

Jan Finkbeiner

Thomas Gmeinder

Mark Pupilli

Alexander Titterton

Emre Neftci

2024/3/24

Error-triggered learning of multi-layer memristive spiking neural networks

2024/1/4

Understanding and improving optimization in predictive coding networks

Proceedings of the AAAI Conference on Artificial Intelligence

Nicholas Alonso

Jeffrey Krichmar

Emre Neftci

2024/3/24

Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing

Kenneth Stewart

Michael Neumeier

Sumit Bam Shrestha

Garrick Orchard

Emre Neftci

2024/3/18

A Hybrid SNN-ANN Network for Event-based Object Detection with Spatial and Temporal Attention

arXiv preprint arXiv:2403.10173

Soikat Hasan Ahmed

Jan Finkbeiner

Emre Neftci

2024/3/15

ETLP: Event-based Three-factor Local Plasticity for online learning with neuromorphic hardware

arXiv preprint arXiv:2301.08281

Fernando M Quintana

Fernando Perez-Peña

Pedro L Galindo

Emre O Neftci

Elisabetta Chicca

...

2023/1/19

Interfacing neuromorphic hardware with machine learning frameworks-a review

Jamie Lohoff

Zhenming Yu

Jan Finkbeiner

Anil Kaya

Kenneth Stewart

...

2023/8/1

Online transformers with spiking neurons for fast prosthetic hand control

Nathan Leroux

Jan Finkbeiner

Emre Neftci

2023/10/19

Finding new bio-plausible Learning Rules using Deep Reinforcement Learning

Jamie Lohoff

Emre Neftci

2023

Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking

arXiv preprint arXiv:2304.04640

Jason Yik

Soikat Hasan Ahmed

Zergham Ahmed

Brian Anderson

Andreas G Andreou

...

2023/4/10

Low-Power Traffic Surveillance using Multiple RGB and Event Cameras: A Survey

Tobias Fleck

Svetlana Pavlitska

Sven Nitzsche

Brian Pachideh

Federico Peccia

...

2023/9/24

Bio-inspired sequence learning mechanisms and their implementation in a memristive neuromorphic hardware

Younes Bouhadjar

Sebastian Siegel

Markus Diesmann

Rainer Waser

Emre Neftci

...

2023

Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization

Neural Networks

Jinwei Xing

Takashi Nagata

Xinyun Zou

Emre Neftci

Jeffrey L Krichmar

2023/4/1

Training spiking neural networks using lessons from deep learning

Proceedings of the IEEE

Jason K Eshraghian

Max Ward

Emre O Neftci

Xinxin Wang

Gregor Lenz

...

2023/9/6

Building and benchmarking the motivated deception corpus: Improving the quality of deceptive text through gaming

Behavior Research Methods

Dan Barsever

Mark Steyvers

Emre Neftci

2023/12

Attractor states in spiking neural networks

John P Strachan

Emre Neftci

Younes Bouhadjar

Michael Schiek

2023

: Accelerating event-based workloads with hyperdimensional computing and spiking neural networks

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Tianqi Zhang

Justing Morris

Kenneth Stewart

Hin Wai Lui

Behnam Khaleghi

...

2023/3/31

Focus issue on machine learning for neuromorphic engineering

Neuromorphic Computing and Engineering

Melika Payvand

Emre Neftci

Friedemann Zenke

2023/9/1

See List of Professors in Emre Neftci University(University of California, Irvine)

Co-Authors

academic-engine