Emre Neftci

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 76

Top Topics

Distributed Representations

Traffic Surveillance

Top Venues

Publications

Zhenming Yu, Ming-Jay Yang, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan, Emre Neftci
The Ouroboros of Memristors: Neural Networks Facilitating Memristor Programming. AICAS (2024)
Soikat Hasan Ahmed, Jan Finkbeiner, Emre Neftci
A Hybrid SNN-ANN Network for Event-based Object Detection with Spatial and Temporal Attention. CoRR (2024)
Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models. AAAI (2024)
Jamie Lohoff, Emre Neftci
Optimizing Automatic Differentiation with Deep Reinforcement Learning. CoRR (2024)
Karthik Charan Raghunathan, Yigit Demirag, Emre Neftci, Melika Payvand
Hardware-aware Few-shot Learning on a Memristor-based Small-world Architecture. NICE (2024)
Zhenming Yu, Ming-Jay Yang, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan, Emre Neftci
The Ouroboros of Memristors: Neural Networks Facilitating Memristor Programming. CoRR (2024)
Zhenming Yu, Stephan Menzel, John Paul Strachan, Emre Neftci
Integration of Physics-Derived Memristor Models with Machine Learning Frameworks. CoRR (2024)
Nicholas Alonso, Jeffrey L. Krichmar, Emre Neftci
Understanding and Improving Optimization in Predictive Coding Networks. AAAI (2024)
Madison Cotteret, Hugh Greatorex, Alpha Renner, Junren Chen, Emre Neftci, Huaqiang Wu, Giacomo Indiveri, Martin Ziegler, Elisabetta Chicca
Distributed Representations Enable Robust Multi-Timescale Computation in Neuromorphic Hardware. CoRR (2024)
Melika Payvand, Emre Neftci, Friedemann Zenke
Editorial: Focus issue on machine learning for neuromorphic engineering. Neuromorph. Comput. Eng. 3 (3) (2023)
Hin Wai Lui, Eric Gallo, Emre Neftci
Patient Privacy Protecting Physics Informed Neural Network for Cardiovascular Monitoring. BioCAS (2023)
Nick Alonso, Jeff Krichmar, Emre Neftci
Understanding and Improving Optimization in Predictive Coding Networks. CoRR (2023)
Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar
Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization. Neural Networks 161 (2023)
Dhireesha Kudithipudi, Anurag Reddy Daram, Abdullah M. Zyarah, Fatima Tuz Zohora, James B. Aimone, Angel Yanguas-Gil, Nicholas Soures, Emre Neftci, Matthew Mattina, Vincenzo Lomonaco, Clare D. Thiem, Benjamin R. Epstein
Design Principles for Lifelong Learning AI Accelerators. CoRR (2023)
Nathan Leroux, Jan Finkbeiner, Emre Neftci
Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control. BioCAS (2023)
Tobias Fleck, Svetlana Pavlitska, Sven Nitzsche, Brian Pachideh, Federico Nicolás Peccia, Soikat Hasan Ahmed, Svea Marie Meyer, Mathis Richter, Kevin Broertjes, Emre Neftci, Jürgen Becker, Oliver Bringmann, J. Marius Zöllner
Low-Power Traffic Surveillance using Multiple RGB and Event Cameras: A Survey. ISC2 (2023)
Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models. CoRR (2023)
Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR (2023)
Jamie Lohoff, Zhenming Yu, Jan Finkbeiner, Anil Kaya, Kenneth Michael Stewart, Hin Wai Lui, Emre Neftci
Interfacing Neuromorphic Hardware with Machine Learning Frameworks - A Review. ICONS (2023)
Nathan Leroux, Jan Finkbeiner, Emre Neftci
Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control. CoRR (2023)
Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar
Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability. CoRR (2022)
Kenneth Stewart, Andreea Danielescu, Timothy M. Shea, Emre Neftci
Encoding Event-Based Data With a Hybrid SNN Guided Variational Auto-encoder in Neuromorphic Hardware. NICE (2022)
Takashi Nagata, Jinwei Xing, Tsutomu Kumazawa, Emre Neftci
Uncertainty Aware Model Integration on Reinforcement Learning. IJCNN (2022)
Zhenming Yu, Stephan Menzel, John Paul Strachan, Emre Neftci
Integration of Physics-Derived Memristor Models with Machine Learning Frameworks. IEEECONF (2022)
Justin Morris, Hin Wai Lui, Kenneth Stewart, Behnam Khaleghi, Anthony Thomas, Thiago Marback, Baris Aksanli, Emre Neftci, Tajana Rosing
HyperSpike: HyperDimensional Computing for More Efficient and Robust Spiking Neural Networks. DATE (2022)
Nick Alonso, Beren Millidge, Jeff Krichmar, Emre Neftci
A Theoretical Framework for Inference Learning. CoRR (2022)
Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Steve B. Furber, Emre Neftci, Franz Scherr, Wolfgang Maass, Srikanth Ramaswamy, Jonathan Tapson, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Gabriella Panuccio, Mufti Mahmud, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds
2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 2 (2) (2022)
Kenneth Stewart, Emre Neftci
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent. CoRR (2022)
Sonali Singh, Anup Sarma, Sen Lu, Abhronil Sengupta, Mahmut T. Kandemir, Emre Neftci, Vijaykrishnan Narayanan, Chita R. Das
Skipper: Enabling efficient SNN training through activation-checkpointing and time-skipping. MICRO (2022)
Hin Wai Lui, Emre Neftci
Hessian Aware Quantization of Spiking Neural Networks. ICONS (2021)
Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Emre Neftci, Srikanth Ramaswamy, Jonathan Tapson, Franz Scherr, Wolfgang Maass, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds
2021 Roadmap on Neuromorphic Computing and Engineering. CoRR (2021)
Kenneth Stewart, Andreea Danielescu, Lazar Supic, Timothy M. Shea, Emre Neftci
Gesture Similarity Analysis on Event Data Using a Hybrid Guided Variational Auto Encoder. CoRR (2021)
Sourav Dutta, Georgios Detorakis, Abhishek Khanna, Benjamin Grisafe, Emre Neftci, Suman Datta
Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference. CoRR (2021)
Jason Kamran Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu
Training Spiking Neural Networks Using Lessons From Deep Learning. CoRR (2021)
Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation. AAAI (2021)
Nick Alonso, Emre Neftci
Tightening the Biological Constraints on Gradient-Based Predictive Coding. CoRR (2021)
Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation. CoRR (2021)
Hin Wai Lui, Emre Neftci
Hessian Aware Quantization of Spiking Neural Networks. CoRR (2021)
Nicholas Alonso, Emre Neftci
Tightening the Biological Constraints on Gradient-Based Predictive Coding. ICONS (2021)
Yue Yin, Emre Neftci
Improving full-FORCE with dynamical data coupling and multilayer architecture. BioCAS (2021)
Kenneth Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci
Live Demonstration: On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. AICAS (2020)
Kenneth Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci
Online Few-shot Gesture Learning on a Neuromorphic Processor. CoRR (2020)
Kenneth Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci
On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. AICAS (2020)
Xinyun Zou, Tiffany Hwu, Jeffrey L. Krichmar, Emre Neftci
Terrain Classification with a Reservoir-Based Network of Spiking Neurons. ISCAS (2020)
Kenneth Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci
Online Few-Shot Gesture Learning on a Neuromorphic Processor. IEEE J. Emerg. Sel. Topics Circuits Syst. 10 (4) (2020)
Dan Barsever, Sameer Singh, Emre Neftci
Building a Better Lie Detector with BERT: The Difference Between Truth and Lies. IJCNN (2020)
Jonah Sengupta, Rajkumar Kubendran, Emre Neftci, Andreas G. Andreou
High-Speed, Real-Time, Spike-Based Object Tracking and Path Prediction on Google Edge TPU. AICAS (2020)
Jacques Kaiser, Alexander Friedrich, Juan Camilo Vasquez Tieck, Daniel Reichard, Arne Roennau, Emre Neftci, Rüdiger Dillmann
Embodied Neuromorphic Vision with Continuous Random Backpropagation. BioRob (2020)
Mohamed E. Fouda, Fadi J. Kurdahi, Ahmed M. Eltawil, Emre Neftci
Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective. CoRR (2019)
Georgios Detorakis, Sourav Dutta, Abhishek Khanna, Matthew Jerry, Suman Datta, Emre Neftci
Inherent Weight Normalization in Stochastic Neural Networks. CoRR (2019)
Kenneth Stewart, Emre Neftci, Garrick Orchard, Sumit Bam Shrestha
On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. CoRR (2019)
Mohammed E. Fouda, Emre Neftci, Ahmed M. Eltawil, Fadi J. Kurdahi
Effect of Asymmetric Nonlinearity Dynamics in RRAMs on Spiking Neural Network Performance. ACSSC (2019)
Jacques Kaiser, Alexander Friedrich, Juan Camilo Vasquez Tieck, Daniel Reichard, Arne Roennau, Emre Neftci, Rüdiger Dillmann
Embodied Event-Driven Random Backpropagation. CoRR (2019)
Georgios Detorakis, Sourav Dutta, Abhishek Khanna, Matthew Jerry, Suman Datta, Emre Neftci
Inherent Weight Normalization in Stochastic Neural Networks. NeurIPS (2019)
Georgios Detorakis, Travis Bartley, Emre Neftci
Contrastive Hebbian learning with random feedback weights. Neural Networks 114 (2019)
Hirak Jyoti Kashyap, Georgios Detorakis, Nikil D. Dutt, Jeffrey L. Krichmar, Emre Neftci
A Recurrent Neural Network Based Model of Predictive Smooth Pursuit Eye Movement in Primates. IJCNN (2018)
Jacques Kaiser, Hesham Mostafa, Emre Neftci
Synaptic Plasticity Dynamics for Deep Continuous Local Learning. CoRR (2018)
Georgios Detorakis, Travis Bartley, Emre Neftci
Contrastive Hebbian Learning with Random Feedback Weights. CoRR (2018)
Georgios Detorakis, Sadique Sheik, Charles Augustine, Somnath Paul, Bruno U. Pedroni, Nikil D. Dutt, Jeffrey L. Krichmar, Gert Cauwenberghs, Emre Neftci
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning. CoRR (2017)
Emre Neftci, Charles Augustine, Somnath Paul, Georgios Detorakis
Event-driven random backpropagation: Enabling neuromorphic deep learning machines. ISCAS (2017)
Sukru Burc Eryilmaz, Emre Neftci, Siddharth Joshi, SangBum Kim, Matthew BrightSky, Hsiang-Lan Lung, Chung Lam, Gert Cauwenberghs, H.-S. Philip Wong
Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses. CoRR (2016)
Bruno U. Pedroni, Sadique Sheik, Siddharth Joshi, Georgios Detorakis, Somnath Paul, Charles Augustine, Emre Neftci, Gert Cauwenberghs
Forward Table-Based Presynaptic Event-Triggered Spike-Timing-Dependent Plasticity. CoRR (2016)
Peter U. Diehl, Bruno U. Pedroni, Andrew Cassidy, Paul Merolla, Emre Neftci, Guido Zarrella
TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth. CoRR (2016)
Peter U. Diehl, Bruno U. Pedroni, Andrew Cassidy, Paul Merolla, Emre Neftci, Guido Zarrella
TrueHappiness: Neuromorphic emotion recognition on TrueNorth. IJCNN (2016)
Peter U. Diehl, Guido Zarrella, Andrew S. Cassidy, Bruno U. Pedroni, Emre Neftci
Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware. CoRR (2016)
Sukru Burc Eryilmaz, Siddharth Joshi, Emre Neftci, Weier Wan, Gert Cauwenberghs, H.-S. Philip Wong
Neuromorphic architectures with electronic synapses. ISQED (2016)
Peter U. Diehl, Guido Zarrella, Andrew Cassidy, Bruno U. Pedroni, Emre Neftci
Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware. ICRC (2016)
Emre Neftci
Stochastic neuromorphic learning machines for weakly labeled data. ICCD (2016)
Emre Neftci, Charles Augustine, Somnath Paul, Georgios Detorakis
Event-driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines. CoRR (2016)
Bruno U. Pedroni, Sadique Sheik, Siddharth Joshi, Georgios Detorakis, Somnath Paul, Charles Augustine, Emre Neftci, Gert Cauwenberghs
Forward table-based presynaptic event-triggered spike-timing-dependent plasticity. BioCAS (2016)
Rawan Naous, Maruan Al-Shedivat, Emre Neftci, Gert Cauwenberghs, Khaled Nabil Salama
Stochastic synaptic plasticity with memristor crossbar arrays. ISCAS (2016)
Sadique Sheik, Somnath Paul, Charles Augustine, Chinnikrishna Kothapalli, Muhammad M. Khellah, Gert Cauwenberghs, Emre Neftci
Synaptic sampling in hardware spiking neural networks. ISCAS (2016)
Maruan Al-Shedivat, Emre Neftci, Gert Cauwenberghs
Learning Non-deterministic Representations with Energy-based Ensembles. ICLR (Workshop) (2015)
Emre Neftci, Bruno U. Pedroni, Siddharth Joshi, Maruan Al-Shedivat, Gert Cauwenberghs
Unsupervised Learning in Synaptic Sampling Machines. CoRR (2015)
Maruan Al-Shedivat, Rawan Naous, Emre Neftci, Gert Cauwenberghs, Khaled N. Salama
Inherently stochastic spiking neurons for probabilistic neural computation. NER (2015)
Jordi Fonollosa, Emre Neftci, Mikhail Rabinovich
Learning of Chunking Sequences in Cognition and Behavior. PLoS Comput. Biol. 11 (11) (2015)
Fabio Stefanini, Emre Neftci, Sadique Sheik, Giacomo Indiveri
PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems. Frontiers Neuroinformatics 8 (2014)
Jongkil Park, Sohmyung Ha, Theodore Yu, Emre Neftci, Gert Cauwenberghs
A 65k-neuron 73-Mevents/s 22-pJ/event asynchronous micro-pipelined integrate-and-fire array transceiver. BioCAS (2014)
Bruno U. Pedroni, Srinjoy Das, Emre Neftci, Kenneth Kreutz-Delgado, Gert Cauwenberghs
Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks. IJCNN (2013)
Emre Neftci, Srinjoy Das, Bruno U. Pedroni, Kenneth Kreutz-Delgado, Gert Cauwenberghs
Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems. CoRR (2013)
Emre Neftci, Jonathan Binas, Elisabetta Chicca, Giacomo Indiveri, Rodney J. Douglas
Systematic Construction of Finite State Automata Using VLSI Spiking Neurons. Living Machines (2012)
Dane S. Corneil, Daniel Sonnleithner, Emre Neftci, Elisabetta Chicca, Matthew Cook, Giacomo Indiveri, Rodney J. Douglas
Function approximation with uncertainty propagation in a VLSI spiking neural network. IJCNN (2012)
Dane S. Corneil, Daniel Sonnleithner, Emre Neftci, Elisabetta Chicca, Matthew Cook, Giacomo Indiveri, Rodney J. Douglas
Real-time inference in a VLSI spiking neural network. ISCAS (2012)
Emre Neftci, Elisabetta Chicca, Giacomo Indiveri, Rodney J. Douglas
A Systematic Method for Configuring VLSI Networks of Spiking Neurons. Neural Comput. 23 (10) (2011)
Sadique Sheik, Fabio Stefanini, Emre Neftci, Elisabetta Chicca, Giacomo Indiveri
Systematic configuration and automatic tuning of neuromorphic systems. ISCAS (2011)
Emre Neftci, Elisabetta Chicca, Matthew Cook, Giacomo Indiveri, Rodney J. Douglas
State-dependent sensory processing in networks of VLSI spiking neurons. ISCAS (2010)
Emre Neftci, Elisabetta Chicca, Matthew Cook, Giacomo Indiveri, Rodney J. Douglas
Live demonstration: State-dependent sensory processing in networks of VLSI spiking neurons. ISCAS (2010)
Emre Neftci, Elisabetta Chicca, Giacomo Indiveri, Jean-Jacques E. Slotine, Rodney J. Douglas
Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons. NIPS (2007)