Emre Neftci

Orcid: 0000-0002-0332-3273

Affiliations:
  • 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.

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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

On-Chip Learning via Transformer In-Context Learning.
CoRR, 2024

Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models.
CoRR, 2024

Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing.
CoRR, 2024

Optimizing Automatic Differentiation with Deep Reinforcement Learning.
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

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

SNNAX - Spiking Neural Networks in JAX.
Proceedings of the International Conference on Neuromorphic Systems, 2024

Unsupervised Learning of Spatio-Temporal Patterns in Spiking Neuronal Networks.
Proceedings of the International Conference on Neuromorphic Systems, 2024

The Ouroboros of Memristors: Neural Networks Facilitating Memristor Programming.
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

Understanding and Improving Optimization in Predictive Coding Networks.
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

Training Spiking Neural Networks Using Lessons From Deep Learning.
Proc. IEEE, September, 2023

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

Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization.
Neural Networks, April, 2023

Design Principles for Lifelong Learning AI Accelerators.
CoRR, 2023

Understanding and Improving Optimization in Predictive Coding Networks.
CoRR, 2023

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

Low-Power Traffic Surveillance using Multiple RGB and Event Cameras: A Survey.
Proceedings of the IEEE International Smart Cities Conference, 2023

Interfacing Neuromorphic Hardware with Machine Learning Frameworks - A Review.
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

Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2022
Meta-learning spiking neural networks with surrogate gradient descent.
Neuromorph. Comput. Eng., December, 2022

2022 roadmap on neuromorphic computing and engineering.
Neuromorph. Comput. Eng., 2022

Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability.
CoRR, 2022

A Theoretical Framework for Inference Learning.
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

Uncertainty Aware Model Integration on Reinforcement Learning.
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

Integration of Physics-Derived Memristor Models with Machine Learning Frameworks.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Brain-Inspired Learning on Neuromorphic Substrates.
Proc. IEEE, 2021

2021 Roadmap on Neuromorphic Computing and Engineering.
CoRR, 2021

Tightening the Biological Constraints on Gradient-Based Predictive Coding.
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

Hessian Aware Quantization of Spiking Neural Networks.
Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Tightening the Biological Constraints on Gradient-Based Predictive Coding.
Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Improving full-FORCE with dynamical data coupling and multilayer architecture.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021

Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Online Few-Shot Gesture Learning on a Neuromorphic Processor.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

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

Terrain Classification with a Reservoir-Based Network of Spiking Neurons.
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

Building a Better Lie Detector with BERT: The Difference Between Truth and Lies.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Embodied Neuromorphic Vision with Continuous Random Backpropagation.
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

Error-triggered Three-Factor Learning Dynamics for Crossbar Arrays.
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

Contrastive Hebbian learning with random feedback weights.
Neural Networks, 2019

Reinforcement learning in artificial and biological systems.
Nat. Mach. Intell., 2019

Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective.
CoRR, 2019

Embodied Event-Driven Random Backpropagation.
CoRR, 2019

Surrogate Gradient Learning in Spiking Neural Networks.
CoRR, 2019

Inherent Weight Normalization in Stochastic Neural Networks.
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
Synaptic Plasticity Dynamics for Deep Continuous Local Learning.
CoRR, 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

Event-driven random backpropagation: Enabling neuromorphic deep learning machines.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2016
Event-driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines.
CoRR, 2016

Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses.
CoRR, 2016

Neuromorphic architectures with electronic synapses.
Proceedings of the 17th International Symposium on Quality Electronic Design, 2016

Synaptic sampling in hardware spiking neural networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Stochastic synaptic plasticity with memristor crossbar arrays.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

TrueHappiness: Neuromorphic emotion recognition on TrueNorth.
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

Stochastic neuromorphic learning machines for weakly labeled data.
Proceedings of the 34th IEEE International Conference on Computer Design, 2016

Forward table-based presynaptic event-triggered spike-timing-dependent plasticity.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016

2015
Learning of Chunking Sequences in Cognition and Behavior.
PLoS Comput. Biol., 2015

Unsupervised Learning in Synaptic Sampling Machines.
CoRR, 2015

Learning Non-deterministic Representations with Energy-based Ensembles.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Inherently stochastic spiking neurons for probabilistic neural computation.
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
Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems.
CoRR, 2013

Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Dynamic State and Parameter Estimation Applied to Neuromorphic Systems.
Neural Comput., 2012

Systematic Construction of Finite State Automata Using VLSI Spiking Neurons.
Proceedings of the Biomimetic and Biohybrid Systems - First International Conference, 2012

Real-time inference in a VLSI spiking neural network.
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
A Systematic Method for Configuring VLSI Networks of Spiking Neurons.
Neural Comput., 2011

Systematic configuration and automatic tuning of neuromorphic systems.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

2010
State-dependent sensory processing in networks of VLSI spiking neurons.
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


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