Melika Payvand

Orcid: 0000-0001-5400-067X

Affiliations:
  • University of Zürich, Switzerland


According to our database1, Melika Payvand authored at least 44 papers between 2014 and 2024.

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Bibliography

2024
Scaling Limits of Memristor-Based Routers for Asynchronous Neuromorphic Systems.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

Flexible Unipolar IGZO Transistor-Based Integrate and Fire Neurons for Spiking Neuromorphic Applications.
IEEE Trans. Biomed. Circuits Syst., February, 2024

Editorial: Focus issue on in-memory computing.
Neuromorph. Comput. Eng., 2024

The Role of Temporal Hierarchy in Spiking Neural Networks.
CoRR, 2024

DelGrad: Exact gradients in spiking networks for learning transmission delays and weights.
CoRR, 2024

Hardware-aware Few-shot Learning on a Memristor-based Small-world Architecture.
Proceedings of the Neuro Inspired Computational Elements Conference, 2024

2023
Editorial: Focus issue on machine learning for neuromorphic engineering.
Neuromorph. Comput. Eng., September, 2023

DenRAM: Neuromorphic Dendritic Architecture with RRAM for Efficient Temporal Processing with Delays.
CoRR, 2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.
CoRR, 2023

GMap : An Open-source Efficient Compiler for Mapping any Network onto any Neuromophic Chip.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Dendritic Computation through Exploiting Resistive Memory as both Delays and Weights.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

Synaptic metaplasticity with multi-level memristive devices.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022
A 120dB Programmable-Range On-Chip Pulse Generator for Characterizing Ferroelectric Devices.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Reliability Analysis of Memristor Crossbar Routers: Collisions and On/off Ratio Requirement.
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

Prediction: An Algorithmic Principle Meeting Neuroscience and Machine Learning Halfway.
Proceedings of the 3rd Human-Like Computing Workshop (HLC 2022) co-located with the 2nd International Joint Conference on Learning and Reasoning (IJCLR 2022), 2022

Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021
Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021

NEUROTECH - A European Community of Experts on Neuromorphic Technologies.
ERCIM News, 2021

Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses.
CoRR, 2021

PCM-Trace: Scalable Synaptic Eligibility Traces with Resistivity Drift of Phase-Change Materials.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020
Low-Energy and Fast Spiking Neural Network For Context-Dependent Learning on FPGA.
IEEE Trans. Circuits Syst., 2020

Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications.
IEEE Trans. Biomed. Circuits Syst., 2020

On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Adaptive Extreme Edge Computing for Wearable Devices.
CoRR, 2020

Analog Weight Updates with Compliance Current Modulation of Binary ReRAMs for On-Chip Learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020


Error-triggered Three-Factor Learning Dynamics for Crossbar Arrays.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019
Discrimination of EMG Signals Using a Neuromorphic Implementation of a Spiking Neural Network.
IEEE Trans. Biomed. Circuits Syst., 2019

Spike-Based Plasticity Circuits for Always-on On-Line Learning in Neuromorphic Systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Hybrid CMOS-RRAM Neurons with Intrinsic Plasticity.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Ultra-Low Power Silicon Neuron Circuit for Extreme-Edge Neuromorphic Intelligence.
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

Sensor fusion using EMG and vision for hand gesture classification in mobile applications.
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

Live Demostration: Sensor fusion using EMG and vision for hand gesture classification in mobile applications.
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

2018
From Winner-Takes-All to Winners-Share-All: Exploiting the Information Capacity in Temporal Codes.
Neural Comput., 2018

A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: From mitigation to exploitation.
CoRR, 2018

Event-based circuits for controlling stochastic learning with memristive devices in neuromorphic architectures.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Processing EMG signals using reservoir computing on an event-based neuromorphic system.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

2015
A Low-Power Variation-Aware Adaptive Write Scheme for Access-Transistor-Free Memristive Memory.
ACM J. Emerg. Technol. Comput. Syst., 2015

Exploiting local connectivity of CMOL architecture for highly parallel orientation selective neuromorphic chips.
Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale Architectures, 2015

A configurable CMOS memory platform for 3D-integrated memristors.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

2014
A CMOS-memristive self-learning neural network for pattern classification applications.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2014


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