E. Neftci

发表

Inherently stochastic spiking neurons for probabilistic neural computation

Gert Cauwenberghs, Emre Neftci, Rawan Naous, 2015, 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER).

Learning Non-deterministic Representations with Energy-based Ensembles pdf

Gert Cauwenberghs, Emre Neftci, Maruan Al-Shedivat, 2014, ICLR.

Stochastic synaptic plasticity with memristor crossbar arrays

Gert Cauwenberghs, Emre Neftci, Rawan Naous, 2016, 2016 IEEE International Symposium on Circuits and Systems (ISCAS).

Memristor-based neural networks: Synaptic versus neuronal stochasticity

G. Cauwenberghs, K. Salama, Maruan Al-Shedivat, 2016 .

PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems

Giacomo Indiveri, Sadique Sheik, Emre Neftci, 2014, Front. Neuroinform..

2021 Roadmap on Neuromorphic Computing and Engineering pdf

Gouhei Tanaka, Chiara Bartolozzi, Giacomo Indiveri, 2021, ArXiv.

A Theoretical Framework for Inference Learning

Beren Millidge, J. Krichmar, E. Neftci, 2022, NeurIPS.

Training Spiking Neural Networks Using Lessons From Deep Learning pdf

Mohammed Bennamoun, Emre Neftci, Doo Seok Jeong, 2021, ArXiv.

HyperSpike: HyperDimensional Computing for More Efficient and Robust Spiking Neural Networks

T. Simunic, E. Neftci, Behnam Khaleghi, 2022, 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Neuromorphic Deep Learning Machines

C. Augustine, Somnath Paul, E. Neftci, 2017 .

Neuro-Inspired Computing with Stochastic Electronics

Gert Cauwenberghs, Emre Neftci, Rawan Naous, 2016 .

TRAINING SPIKING NEURAL NETWORKS USING LESSONS

D. Jeong, Wei Lu, J. Eshraghian, 2021 .

Skipper: Enabling efficient SNN training through activation-checkpointing and time-skipping

Mahmut T. Kandemir, C. Das, N. Vijaykrishnan, 2022, 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO).

Editorial: Spiking Neural Network Learning, Benchmarking, Programming and Executing

Yansong Chua, Haizhou Li, Guoqi Li, 2020, Frontiers in Neuroscience.

Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity

Siddharth Joshi, Gert Cauwenberghs, Sadique Sheik, 2019, Front. Neurosci..

Tightening the Biological Constraints on Gradient-Based Predictive Coding

Emre Neftci, Nick Alonso, E. Neftci, 2021, ICONS.

A Recurrent Neural Network Based Model of Predictive Smooth Pursuit Eye Movement in Primates

Nikil D. Dutt, Jeffrey L. Krichmar, Emre Neftci, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Reinforcement learning in artificial and biological systems

B. Averbeck, E. Neftci, 2019, Nature Machine Intelligence.

Learning of Chunking Sequences in Cognition and Behavior

Mikhail Rabinovich, Emre Neftci, Jordi Fonollosa, 2015, PLoS Comput. Biol..

Towards VLSI spiking neuron assemblies as general-purpose processors

Emre Neftci, E. Neftci, 2010 .

Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware

Andrew S. Cassidy, Peter U. Diehl, Guido Zarrella, 2016, 2016 IEEE International Conference on Rebooting Computing (ICRC).

Dynamic State and Parameter Estimation Applied to Neuromorphic Systems

Giacomo Indiveri, Bryan A. Toth, Henry D. I. Abarbanel, 2012, Neural Computation.

Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-based optimization to spiking neural networks

Hesham Mostafa, Friedemann Zenke, Emre O. Neftci, 2019, IEEE Signal Processing Magazine.

Contrastive Hebbian Learning with Random Feedback Weights

Travis Bartley, Emre Neftci, Georgios Detorakis, 2018, Neural Networks.

Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective pdf

E. Neftci, M. E. Fouda, F. Kurdahi, 2019, Memristive Devices for Brain-Inspired Computing.

A Systematic Method for Configuring VLSI Networks of Spiking Neurons

Giacomo Indiveri, Rodney J. Douglas, Emre Neftci, 2011, Neural Computation.

Hessian Aware Quantization of Spiking Neural Networks

Emre Neftci, Hin Wai Lui, E. Neftci, 2021, ICONS.

2022 roadmap on neuromorphic computing and engineering

Gouhei Tanaka, Mufti Mahmud, Chiara Bartolozzi, 2021, Neuromorph. Comput. Eng..

Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE)

Jacques Kaiser, Emre Neftci, Hesham Mostafa, 2018, Frontiers in Neuroscience.

Stochastic neuromorphic learning machines for weakly labeled data

Emre Neftci, E. Neftci, 2016, 2016 IEEE 34th International Conference on Computer Design (ICCD).

Error-triggered Three-Factor Learning Dynamics for Crossbar Arrays

Melika Payvand, Ahmed Eltawil, Fadi Kurdahi, 2019, 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS).

Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-based optimization to spiking neural networks pdf

Emre Neftci, Hesham Mostafa, Friedemann Zenke, 2019, IEEE Signal Processing Magazine.

Brain-Inspired Learning on Neuromorphic Substrates pdf

Friedemann Zenke, Emre O. Neftci, Friedemann Zenke, 2020, Proceedings of the IEEE.

Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines

Somnath Paul, Charles Augustine, Emre Neftci, 2016, Front. Neurosci..

TrueHappiness: Neuromorphic emotion recognition on TrueNorth

Andrew S. Cassidy, Peter U. Diehl, Guido Zarrella, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A device mismatch compensation method for VLSI neural networks

Giacomo Indiveri, Emre Neftci, G. Indiveri, 2010, 2010 Biomedical Circuits and Systems Conference (BioCAS).

Event-driven contrastive divergence for spiking neuromorphic systems

Gert Cauwenberghs, Kenneth Kreutz-Delgado, Bruno U. Pedroni, 2013, Front. Neurosci..

Meta-learning spiking neural networks with surrogate gradient descent

Emre Neftci, Kenneth Stewart, E. Neftci, 2022, Neuromorph. Comput. Eng..

On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor

Garrick Orchard, Emre Neftci, Sumit Bam Shrestha, 2019, 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS).

Reinforcement learning in artificial and biological systems

B. Averbeck, E. Neftci, 2019, Nature Machine Intelligence.

Training Spiking Neural Networks Using Lessons From Deep Learning

D. Jeong, Bennamoun, J. Eshraghian, 2021, ArXiv.

Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control

E. Neftci, N. Leroux, Jan Finkbeiner, 2023, 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS).

On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks

Ahmed M. Eltawil, Melika Payvand, Mohammed E. Fouda, 2020, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

Data and Power Efficient Intelligence with Neuromorphic Learning Machines

Emre O. Neftci, E. Neftci, 2018, iScience.

A 65k-neuron 73-Mevents/s 22-pJ/event asynchronous micro-pipelined integrate-and-fire array transceiver

Jongkil Park, Gert Cauwenberghs, Emre Neftci, 2014, 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings.

Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability

J. Krichmar, Xinyun Zou, E. Neftci, 2022, ArXiv.

Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation pdf

Jeffrey L. Krichmar, Takashi Nagata, Emre Neftci, 2021, AAAI.

Synthesizing cognition in neuromorphic electronic systems

Giacomo Indiveri, Ueli Rutishauser, Jonathan Binas, 2013, Proceedings of the National Academy of Sciences.

Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines

Siddharth Joshi, Gert Cauwenberghs, Bruno U. Pedroni, 2015, Front. Neurosci..

On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor

Garrick Orchard, Emre Neftci, Sumit Bam Shrestha, 2019, 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS).

Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization

J. Krichmar, Xinyun Zou, E. Neftci, 2023, Neural Networks.

Building a Better Lie Detector with BERT: The Difference Between Truth and Lies

Sameer Singh, Emre Neftci, Dan Barsever, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning

Gert Cauwenberghs, Nikil D. Dutt, Jeffrey L. Krichmar, 2017, Front. Neurosci..

Systematic configuration and automatic tuning of neuromorphic systems

Giacomo Indiveri, Sadique Sheik, Emre Neftci, 2011, 2011 IEEE International Symposium of Circuits and Systems (ISCAS).

Online Few-Shot Gesture Learning on a Neuromorphic Processor

Garrick Orchard, Emre Neftci, Sumit Bam Shrestha, 2020, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

Training Spiking Neural Networks Using Lessons From Deep Learning

D. Jeong, Wei Lu, Bennamoun, 2021, Proceedings of the IEEE.