Emre Neftci
Orcid: 0000-0002-0332-3273Affiliations:
- University of California, Irvine, Department of Computer Science, CA, USA
- University of California, San Diego, Insitute of Neural Computation, CA, USA
- ETH Zurich, Institute of Neuroinformatics, Switzerland (PhD)
According to our database1,
Emre Neftci
authored at least 92 papers
between 2007 and 2024.
Collaborative distances:
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on twitter.com
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on orcid.org
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on nmi-lab.org
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on github.com
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Bibliography
2024
Guest Editorial: Special Issue on Advancing Machine Intelligence With Neuromorphic Computing.
IEEE Trans. Cogn. Dev. Syst., October, 2024
ETLP: event-based three-factor local plasticity for online learning with neuromorphic hardware.
Neuromorph. Comput. Eng., 2024
Gain Cell-Based Analog Content Addressable Memory for Dynamic Associative tasks in AI.
CoRR, 2024
Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models.
CoRR, 2024
Distributed Representations Enable Robust Multi-Timescale Computation in Neuromorphic Hardware.
CoRR, 2024
A Hybrid SNN-ANN Network for Event-based Object Detection with Spatial and Temporal Attention.
CoRR, 2024
Proceedings of the Neuro Inspired Computational Elements Conference, 2024
Proceedings of the International Conference on Neuromorphic Systems, 2024
Proceedings of the International Conference on Neuromorphic Systems, 2024
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
HyperSpikeASIC: Accelerating Event-Based Workloads With HyperDimensional Computing and Spiking Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023
Proc. IEEE, September, 2023
Neuromorph. Comput. Eng., September, 2023
Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization.
Neural Networks, April, 2023
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.
CoRR, 2023
Proceedings of the IEEE International Smart Cities Conference, 2023
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023
Patient Privacy Protecting Physics Informed Neural Network for Cardiovascular Monitoring.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
2022
Neuromorph. Comput. Eng., December, 2022
Neuromorph. Comput. Eng., 2022
Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Encoding Event-Based Data With a Hybrid SNN Guided Variational Auto-encoder in Neuromorphic Hardware.
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022
Skipper: Enabling efficient SNN training through activation-checkpointing and time-skipping.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
HyperSpike: HyperDimensional Computing for More Efficient and Robust Spiking Neural Networks.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
2021
CoRR, 2021
Gesture Similarity Analysis on Event Data Using a Hybrid Guided Variational Auto Encoder.
CoRR, 2021
Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference.
CoRR, 2021
Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021
Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021
Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Memory Organization for Energy-Efficient Learning and Inference in Digital Neuromorphic Accelerators.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020
On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020
Live Demonstration: On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020
High-Speed, Real-Time, Spike-Based Object Tracking and Path Prediction on Google Edge TPU.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020
2019
Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-based optimization to spiking neural networks.
IEEE Signal Process. Mag., 2019
Nat. Mach. Intell., 2019
Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Effect of Asymmetric Nonlinearity Dynamics in RRAMs on Spiking Neural Network Performance.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
A Recurrent Neural Network Based Model of Predictive Smooth Pursuit Eye Movement in Primates.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning.
CoRR, 2017
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
2016
CoRR, 2016
Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses.
CoRR, 2016
Proceedings of the 17th International Symposium on Quality Electronic Design, 2016
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware.
Proceedings of the IEEE International Conference on Rebooting Computing, 2016
Proceedings of the 34th IEEE International Conference on Computer Design, 2016
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016
2015
Proceedings of the 3rd International Conference on Learning Representations, 2015
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
2014
PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems.
Frontiers Neuroinformatics, 2014
A 65k-neuron 73-Mevents/s 22-pJ/event asynchronous micro-pipelined integrate-and-fire array transceiver.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014
2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
2012
Neural Comput., 2012
Proceedings of the Biomimetic and Biohybrid Systems - First International Conference, 2012
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012
Function approximation with uncertainty propagation in a VLSI spiking neural network.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2011
Neural Comput., 2011
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011
2010
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010
Live demonstration: State-dependent sensory processing in networks of VLSI spiking neurons.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010
2007
Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007