Melika Payvand

Melika Payvand

Universität Zürich

H-index: 21

Europe-Switzerland

About Melika Payvand

Melika Payvand, With an exceptional h-index of 21 and a recent h-index of 20 (since 2020), a distinguished researcher at Universität Zürich, specializes in the field of Brain-inspired computing, Neuromorphic VLSI Design, Spiking Neural Networks, On-chip online learning, Memristive devices.

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

Mosaic: in-memory computing and routing for small-world spike-based neuromorphic systems

DelGrad: Exact gradients in spiking networks for learning transmission delays and weights

Neural network circuit with delay line

DenRAM: neuromorphic dendritic architecture with RRAM for efficient temporal processing with delays

Spike frequency adaptation: bridging neural models and neuromorphic applications

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

Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks

Scaling limits of memristor-based routers for asynchronous neuromorphic systems

Melika Payvand Information

University

Position

Scientist at Institute of Neuroinformatics and ETH Zurich

Citations(all)

1355

Citations(since 2020)

1262

Cited By

323

hIndex(all)

21

hIndex(since 2020)

20

i10Index(all)

32

i10Index(since 2020)

29

Email

University Profile Page

Google Scholar

Melika Payvand Skills & Research Interests

Brain-inspired computing

Neuromorphic VLSI Design

Spiking Neural Networks

On-chip online learning

Memristive devices

Top articles of Melika Payvand

Title

Journal

Author(s)

Publication Date

Mosaic: in-memory computing and routing for small-world spike-based neuromorphic systems

Nature Communications

Thomas Dalgaty

Filippo Moro

Yiğit Demirağ

Alessio De Pra

Giacomo Indiveri

...

2024/1/2

DelGrad: Exact gradients in spiking networks for learning transmission delays and weights

arXiv preprint arXiv:2404.19165

Julian Göltz

Jimmy Weber

Laura Kriener

Peter Lake

Melika Payvand

...

2024/4/30

Neural network circuit with delay line

2024/4/25

DenRAM: neuromorphic dendritic architecture with RRAM for efficient temporal processing with delays

Nature Communications

Simone D’Agostino

Filippo Moro

Tristan Torchet

Yiğit Demirağ

Laurent Grenouillet

...

2024/4/24

Spike frequency adaptation: bridging neural models and neuromorphic applications

Chittotosh Ganguly

Sai Sukruth Bezugam

Elisabeth Abs

Melika Payvand

Sounak Dey

...

2024/2/1

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

2024/1/4

Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks

Arianna Rubino

Matteo Cartiglia

Melika Payvand

Giacomo Indiveri

2023/6/11

Scaling limits of memristor-based routers for asynchronous neuromorphic systems

IEEE Transactions on Circuits and Systems II: Express Briefs

Junren Chen

Siyao Yang

Huaqiang Wu

Giacomo Indiveri

Melika Payvand

2023/12/14

Synaptic metaplasticity with multi-level memristive devices

Simone D’Agostino

Filippo Moro

Tifenn Hirtzlin

Julien Arcamone

Niccolò Castellani

...

2023/6/11

Flexible Unipolar IGZO Transistor-Based Integrate and Fire Neurons for Spiking Neuromorphic Applications

IEEE Transactions on Biomedical Circuits and Systems

Ana Lebanov

Mauricio Velazquez Lopez

Florian De Roose

Nikolas P Papadopoulos

Giacomo Indiveri

...

2023/10/2

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

Focus issue on machine learning for neuromorphic engineering

Neuromorphic Computing and Engineering

Melika Payvand

Emre Neftci

Friedemann Zenke

2023/9/1

The neuromorphic Mosaic: in-memory computing and routing for small-world graphical networks

Thomas Dalgaty

Filippo Moro

Yiğit Demirağ

Alessio De Pra

Giacomo Indiveri

...

2023/3/21

GMap: An Open-source Efficient Compiler for Mapping any Network onto any Neuromophic Chip

Jimmy Weber

Chenxi Wu

Melika Payvand

2023/8/1

Dendritic computation through exploiting resistive memory as both delays and weights

Melika Payvand

Simone D'Agostino

Filippo Moro

Yigit Demirag

Giacomo Indiveri

...

2023/8/1

Prediction: An algorithmic principle meeting neuroscience and machine learning halfway

Proceedings of the 3rd Human-Like Computing Workshop (HLC 2022)

Younes Bouhadjar

Caterina Moruzzi

Melika Payvand

2022

Self-organization of an inhomogeneous memristive hardware for sequence learning

Nature communications

Melika Payvand

Filippo Moro

Kumiko Nomura

Thomas Dalgaty

Elisa Vianello

...

2022/10/2

A 120dB Programmable-Range On-Chip Pulse Generator for Characterizing Ferroelectric Devices

Shyam Narayanan

Erika Covi

Viktor Havel

Charlotte Frenkel

Suzanne Lancaster

...

2022/5/27

Hardware for artificial intelligence

Frontiers in Neuroscience

Irem Boybat

Melika Payvand

Oliver Rhodes

Alexander Serb

2022/8/9

Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems

Matteo Cartiglia

Arianna Rubino

Shyam Narayanan

Charlotte Frenkel

Germain Haessig

...

2022/5/27

See List of Professors in Melika Payvand University(Universität Zürich)

Co-Authors

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