Melika Payvand
Orcid: 0000-0001-5400-067XAffiliations:
- University of Zürich, Switzerland
According to our database1,
Melika Payvand
authored at least 40 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on ini.uzh.ch
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on orcid.org
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on dl.acm.org
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Bibliography
2024
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
2023
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
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
IEEE Trans. Circuits Syst. I Regul. Pap., 2021
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
IEEE Trans. Circuits Syst., 2020
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications.
IEEE Trans. Biomed. Circuits Syst., 2020
IEEE J. Emerg. Sel. Topics Circuits Syst., 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
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
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
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
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
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