Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons. - Emre Neftci; Elisabetta Chicca; Giacomo Indiveri; Jean-Jacques E. Slotine; Rodney J. Douglas (NIPS, 2007)

Live demonstration: State-dependent sensory processing in networks of VLSI spiking neurons. - Emre Neftci; Elisabetta Chicca; Matthew Cook 001; Giacomo Indiveri; Rodney J. Douglas (ISCAS, 2010)

State-dependent sensory processing in networks of VLSI spiking neurons. - Emre Neftci; Elisabetta Chicca; Matthew Cook 001; Giacomo Indiveri; Rodney J. Douglas (ISCAS, 2010)

Systematic configuration and automatic tuning of neuromorphic systems. - Sadique Sheik; Fabio Stefanini; Emre Neftci; Elisabetta Chicca; Giacomo Indiveri (ISCAS, 2011)

A Systematic Method for Configuring VLSI Networks of Spiking Neurons. - Emre Neftci; Elisabetta Chicca; Giacomo Indiveri; Rodney J. Douglas (Neural Comput., 2011)

Function approximation with uncertainty propagation in a VLSI spiking neural network. - Dane S. Corneil; Daniel Sonnleithner; Emre Neftci; Elisabetta Chicca; Matthew Cook 001; Giacomo Indiveri; Rodney J. Douglas (IJCNN, 2012)

Real-time inference in a VLSI spiking neural network. - Dane S. Corneil; Daniel Sonnleithner; Emre Neftci; Elisabetta Chicca; Matthew Cook 001; Giacomo Indiveri; Rodney J. Douglas (ISCAS, 2012)

Systematic Construction of Finite State Automata Using VLSI Spiking Neurons. - Emre Neftci; Jonathan Binas; Elisabetta Chicca; Giacomo Indiveri; Rodney J. Douglas (Living Machines, 2012)

Dynamic State and Parameter Estimation Applied to Neuromorphic Systems. - Emre Ozgur Neftci; Bryan A. Toth; Giacomo Indiveri; Henry D. I. Abarbanel (Neural Comput., 2012)

Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks. - Bruno U. Pedroni; Srinjoy Das; Emre Neftci; Kenneth Kreutz-Delgado; Gert Cauwenberghs (IJCNN, 2013)

Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems. - Emre Neftci; Srinjoy Das; Bruno U. Pedroni; Kenneth Kreutz-Delgado; Gert Cauwenberghs (CoRR, 2013)

A 65k-neuron 73-Mevents/s 22-pJ/event asynchronous micro-pipelined integrate-and-fire array transceiver. - Jongkil Park 001; Sohmyung Ha; Theodore Yu; Emre Neftci; Gert Cauwenberghs (BioCAS, 2014)

PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems. - Fabio Stefanini; Emre Neftci; Sadique Sheik; Giacomo Indiveri (Frontiers Neuroinformatics, 2014)

Inherently stochastic spiking neurons for probabilistic neural computation. - Maruan Al-Shedivat; Rawan Naous; Emre Neftci; Gert Cauwenberghs; Khaled N. Salama (NER, 2015)

Learning Non-deterministic Representations with Energy-based Ensembles. - Maruan Al-Shedivat; Emre Neftci; Gert Cauwenberghs (ICLR (Workshop), 2015)

Unsupervised Learning in Synaptic Sampling Machines. - Emre Neftci; Bruno U. Pedroni; Siddharth Joshi 001; Maruan Al-Shedivat; Gert Cauwenberghs (CoRR, 2015)

Learning of Chunking Sequences in Cognition and Behavior. - Jordi Fonollosa; Emre Neftci; Mikhail I. Rabinovich (PLoS Comput. Biol., 2015)

Forward table-based presynaptic event-triggered spike-timing-dependent plasticity. - Bruno U. Pedroni; Sadique Sheik; Siddharth Joshi 001; Georgios Detorakis; Somnath Paul; Charles Augustine; Emre Neftci; Gert Cauwenberghs (BioCAS, 2016)

Stochastic neuromorphic learning machines for weakly labeled data. - Emre Neftci (ICCD, 2016)

Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware. - Peter U. Diehl; Guido Zarrella; Andrew Cassidy; Bruno U. Pedroni; Emre Neftci (ICRC, 2016)

TrueHappiness: Neuromorphic emotion recognition on TrueNorth. - Peter U. Diehl; Bruno U. Pedroni; Andrew Cassidy; Paul Merolla; Emre Neftci; Guido Zarrella (IJCNN, 2016)

Stochastic synaptic plasticity with memristor crossbar arrays. - Rawan Naous; Maruan Al-Shedivat; Emre Neftci; Gert Cauwenberghs; Khaled Nabil Salama (ISCAS, 2016)

Synaptic sampling in hardware spiking neural networks. - Sadique Sheik; Somnath Paul; Charles Augustine; Chinnikrishna Kothapalli; Muhammad M. Khellah; Gert Cauwenberghs; Emre Neftci (ISCAS, 2016)

Neuromorphic architectures with electronic synapses. - Sukru Burc Eryilmaz; Siddharth Joshi 001; Emre Neftci; Weier Wan; Gert Cauwenberghs; H.-S. Philip Wong (ISQED, 2016)

Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses. - Sukru Burc Eryilmaz; Emre Neftci; Siddharth Joshi 001; SangBum Kim; Matthew BrightSky; Hsiang-Lan Lung; Chung Lam; Gert Cauwenberghs; H.-S. Philip Wong (CoRR, 2016)

Event-driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines. - Emre Neftci; Charles Augustine; Somnath Paul; Georgios Detorakis (CoRR, 2016)

Event-driven random backpropagation: Enabling neuromorphic deep learning machines. - Emre Neftci; Charles Augustine; Somnath Paul; Georgios Detorakis (ISCAS, 2017)

Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning. - Georgios Detorakis; Sadique Sheik; Charles Augustine; Somnath Paul; Bruno U. Pedroni; Nikil D. Dutt; Jeffrey L. Krichmar; Gert Cauwenberghs; Emre Neftci (CoRR, 2017)

A Recurrent Neural Network Based Model of Predictive Smooth Pursuit Eye Movement in Primates. - Hirak Jyoti Kashyap; Georgios Detorakis; Nikil D. Dutt; Jeffrey L. Krichmar; Emre Neftci (IJCNN, 2018)

Synaptic Plasticity Dynamics for Deep Continuous Local Learning. - Jacques Kaiser; Hesham Mostafa; Emre Neftci (CoRR, 2018)

Effect of Asymmetric Nonlinearity Dynamics in RRAMs on Spiking Neural Network Performance. - Mohammed E. Fouda; Emre Neftci; Ahmed M. Eltawil; Fadi J. Kurdahi (ACSSC, 2019)

Inherent Weight Normalization in Stochastic Neural Networks. - Georgios Detorakis; Sourav Dutta; Abhishek Khanna; Matthew Jerry; Suman Datta; Emre Neftci (NeurIPS, 2019)

Surrogate Gradient Learning in Spiking Neural Networks. - Emre O. Neftci; Hesham Mostafa; Friedemann Zenke (CoRR, 2019)

Embodied Event-Driven Random Backpropagation. - Jacques Kaiser; Alexander Friedrich; Juan Camilo Vasquez Tieck; Daniel Reichard; Arne Roennau; Emre Neftci; Rüdiger Dillmann (CoRR, 2019)

Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective. - Mohamed E. Fouda; Fadi J. Kurdahi; Ahmed M. Eltawil; Emre Neftci (CoRR, 2019)

Reinforcement learning in artificial and biological systems. - Emre O. Neftci; Bruno B. Averbeck (Nat. Mach. Intell., 2019)

Contrastive Hebbian learning with random feedback weights. - Georgios Detorakis; Travis Bartley; Emre Neftci (Neural Networks, 2019)

Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-based optimization to spiking neural networks. - Emre O. Neftci; Hesham Mostafa; Friedemann Zenke (IEEE Signal Process. Mag., 2019)

Error-triggered Three-Factor Learning Dynamics for Crossbar Arrays. - Melika Payvand; Mohammed E. Fouda; Fadi J. Kurdahi; Ahmed M. Eltawil; Emre O. Neftci (AICAS, 2020)

High-Speed, Real-Time, Spike-Based Object Tracking and Path Prediction on Google Edge TPU. - Jonah Sengupta; Rajkumar Kubendran; Emre Neftci; Andreas G. Andreou (AICAS, 2020)

Live Demonstration: On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. - Kenneth Michael Stewart; Garrick Orchard; Sumit Bam Shrestha; Emre Neftci (AICAS, 2020)

On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. - Kenneth Michael Stewart; Garrick Orchard; Sumit Bam Shrestha; Emre Neftci (AICAS, 2020)

Embodied Neuromorphic Vision with Continuous Random Backpropagation. - Jacques Kaiser; Alexander Friedrich; Juan Camilo Vasquez Tieck; Daniel Reichard; Arne Roennau; Emre Neftci; Rüdiger Dillmann (BioRob, 2020)

Building a Better Lie Detector with BERT: The Difference Between Truth and Lies. - Dan Barsever; Sameer Singh 001; Emre Neftci (IJCNN, 2020)

Memory Organization for Energy-Efficient Learning and Inference in Digital Neuromorphic Accelerators. - Clemens J. S. Schaefer; Patrick Faley; Emre O. Neftci; Siddharth Joshi 001 (ISCAS, 2020)

Terrain Classification with a Reservoir-Based Network of Spiking Neurons. - Xinyun Zou; Tiffany Hwu; Jeffrey L. Krichmar; Emre Neftci (ISCAS, 2020)

On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks. - Melika Payvand; Mohammed E. Fouda; Fadi J. Kurdahi; Ahmed M. Eltawil; Emre O. Neftci (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

Online Few-Shot Gesture Learning on a Neuromorphic Processor. - Kenneth Michael Stewart; Garrick Orchard; Sumit Bam Shrestha; Emre Neftci (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation. - Jinwei Xing; Takashi Nagata; Kexin Chen 002; Xinyun Zou; Emre Neftci; Jeffrey L. Krichmar (AAAI, 2021)

Improving full-FORCE with dynamical data coupling and multilayer architecture. - Yue Yin; Emre Neftci (BioCAS, 2021)

Tightening the Biological Constraints on Gradient-Based Predictive Coding. - Nicholas Alonso; Emre Neftci (ICONS, 2021)

Hessian Aware Quantization of Spiking Neural Networks. - Hin Wai Lui; Emre Neftci (ICONS, 2021)

Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference. - Sourav Dutta; Georgios Detorakis; Abhishek Khanna; Benjamin Grisafe; Emre Neftci; Suman Datta (CoRR, 2021)

Gesture Similarity Analysis on Event Data Using a Hybrid Guided Variational Auto Encoder. - Kenneth Michael Stewart; Andreea Danielescu 001; Lazar Supic; Timothy M. Shea; Emre Neftci (CoRR, 2021)

Tightening the Biological Constraints on Gradient-Based Predictive Coding. - Nick Alonso; Emre Neftci (CoRR, 2021)

2021 Roadmap on Neuromorphic Computing and Engineering. - 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; et al. (CoRR, 2021)

Brain-Inspired Learning on Neuromorphic Substrates. - Friedemann Zenke; Emre O. Neftci (Proc. IEEE, 2021)

Integration of Physics-Derived Memristor Models with Machine Learning Frameworks. - Zhenming Yu; Stephan Menzel; John Paul Strachan; Emre Neftci (IEEECONF, 2022)

HyperSpike: HyperDimensional Computing for More Efficient and Robust Spiking Neural Networks. - Justin Morris; Hin Wai Lui; Kenneth Michael Stewart; Behnam Khaleghi; Anthony Thomas; Thiago Marback; Baris Aksanli; Emre Neftci; Tajana Rosing (DATE, 2022)

Uncertainty Aware Model Integration on Reinforcement Learning. - Takashi Nagata; Jinwei Xing; Tsutomu Kumazawa; Emre Neftci (IJCNN, 2022)

Skipper: Enabling efficient SNN training through activation-checkpointing and time-skipping. - Sonali Singh; Anup Sarma; Sen Lu; Abhronil Sengupta; Mahmut T. Kandemir; Emre Neftci; Vijaykrishnan Narayanan; Chita R. Das (MICRO, 2022)

Encoding Event-Based Data With a Hybrid SNN Guided Variational Auto-encoder in Neuromorphic Hardware. - Kenneth Michael Stewart; Andreea Danielescu 001; Timothy M. Shea; Emre Neftci (NICE, 2022)

A Theoretical Framework for Inference Learning. - Nick Alonso; Beren Millidge; Jeffrey L. Krichmar; Emre O. Neftci (NeurIPS, 2022)

Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability. - Jinwei Xing; Takashi Nagata; Xinyun Zou; Emre Neftci; Jeffrey L. Krichmar (CoRR, 2022)

2022 roadmap on neuromorphic computing and engineering. - 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; et al. (Neuromorph. Comput. Eng., 2022)

Meta-learning spiking neural networks with surrogate gradient descent. - Kenneth Michael Stewart; Emre O. Neftci (Neuromorph. Comput. Eng., 2022)

Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control. - Nathan Leroux; Jan Finkbeiner; Emre Neftci (BioCAS, 2023)

Patient Privacy Protecting Physics Informed Neural Network for Cardiovascular Monitoring. - Hin Wai Lui; Eric M. Gallo; Emre Neftci (BioCAS, 2023)

Interfacing Neuromorphic Hardware with Machine Learning Frameworks - A Review. - Jamie Lohoff; Zhenming Yu; Jan Finkbeiner; Anil Kaya; Kenneth Michael Stewart; Hin Wai Lui; Emre Neftci (ICONS, 2023)

Low-Power Traffic Surveillance using Multiple RGB and Event Cameras: A Survey. - 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 001; Oliver Bringmann 001; et al. (ISC2, 2023)

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. - 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; et al. (CoRR, 2023)

Understanding and Improving Optimization in Predictive Coding Networks. - Nick Alonso; Jeff Krichmar; Emre Neftci (CoRR, 2023)

Design Principles for Lifelong Learning AI Accelerators. - 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 (CoRR, 2023)

Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization. - Jinwei Xing; Takashi Nagata; Xinyun Zou; Emre Neftci; Jeffrey L. Krichmar (Neural Networks, 2023)

Editorial: Focus issue on machine learning for neuromorphic engineering. - Melika Payvand; Emre Neftci; Friedemann Zenke (Neuromorph. Comput. Eng., 2023)

Training Spiking Neural Networks Using Lessons From Deep Learning. - Jason K. Eshraghian; Max Ward 001; Emre O. Neftci; Xinxin Wang 002; Gregor Lenz; Girish Dwivedi; Mohammed Bennamoun; Doo Seok Jeong; Wei D. Lu (Proc. IEEE, 2023)

HyperSpikeASIC: Accelerating Event-Based Workloads With HyperDimensional Computing and Spiking Neural Networks. - Tianqi Zhang; Justin Morris; Kenneth Michael Stewart; Hin Wai Lui; Behnam Khaleghi; Anthony Thomas; Thiago Goncalves-Marback; Baris Aksanli; Emre O. Neftci; Tajana Rosing (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Understanding and Improving Optimization in Predictive Coding Networks. - Nicholas Alonso; Jeffrey L. Krichmar; Emre Neftci (AAAI, 2024)

Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models. - Jan Finkbeiner; Thomas Gmeinder; Mark Pupilli; Alexander Titterton; Emre Neftci (AAAI, 2024)

The Ouroboros of Memristors: Neural Networks Facilitating Memristor Programming. - Zhenming Yu; Ming-Jay Yang; Jan Finkbeiner; Sebastian Siegel; John Paul Strachan; Emre Neftci (AICAS, 2024)

Unsupervised Learning of Spatio-Temporal Patterns in Spiking Neuronal Networks. - Florian Feiler; Emre Neftci; Younes Bouhadjar (ICONS, 2024)

SNNAX - Spiking Neural Networks in JAX. - Jamie Lohoff; Jan Finkbeiner; Emre Neftci (ICONS, 2024)

Hardware-aware Few-shot Learning on a Memristor-based Small-world Architecture. - Karthik Charan Raghunathan; Yigit Demirag; Emre Neftci; Melika Payvand (NICE, 2024)

Optimizing Automatic Differentiation with Deep Reinforcement Learning. - Jamie Lohoff; Emre Neftci (NeurIPS, 2024)

A Hybrid SNN-ANN Network for Event-based Object Detection with Spatial and Temporal Attention. - Soikat Hasan Ahmed; Jan Finkbeiner; Emre Neftci (CoRR, 2024)

Distributed Representations Enable Robust Multi-Timescale Computation in Neuromorphic Hardware. - Madison Cotteret; Hugh Greatorex; Alpha Renner; Junren Chen; Emre Neftci; Huaqiang Wu; Giacomo Indiveri; Martin Ziegler 006; Elisabetta Chicca (CoRR, 2024)

Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing. - Kenneth Michael Stewart; Michael Neumeier; Sumit Bam Shrestha; Garrick Orchard; Emre Neftci (CoRR, 2024)

Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models. - Nathan Leroux; Paul-Philipp Manea; Chirag Sudarshan; Jan Finkbeiner; Sebastian Siegel; John Paul Strachan; Emre Neftci (CoRR, 2024)

On-Chip Learning via Transformer In-Context Learning. - Jan Finkbeiner; Emre Neftci (CoRR, 2024)

Zero-Shot Temporal Resolution Domain Adaptation for Spiking Neural Networks. - Sanja Karilanova; Maxime Fabre; Emre Neftci; Ayça Özçelikkale (CoRR, 2024)

Optimal Gradient Checkpointing for Sparse and Recurrent Architectures using Off-Chip Memory. - Wadjih Bencheikh; Jan Finkbeiner; Emre Neftci (CoRR, 2024)

ETLP: event-based three-factor local plasticity for online learning with neuromorphic hardware. - Fernando M. Quintana; Fernando Perez-Peña; Pedro L. Galindo; Emre O. Neftci; Elisabetta Chicca; Lyes Khacef (Neuromorph. Comput. Eng., 2024)

Guest Editorial: Special Issue on Advancing Machine Intelligence With Neuromorphic Computing. - Guoqi Li; Emre Neftci; Rong Xiao 001; Pablo Lanillos; Kaushik Roy 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention. - Soikat Hasan Ahmed; Jan Finkbeiner; Emre Neftci (CVPR, 2025)

Gain Cell-based Analog Content Addressable Memory for Dynamic Associative Tasks in AI. - Paul-Philipp Manea; Nathan Leroux; Emre Neftci; John Paul Strachan (ISCAS, 2025)

A Grid Cell-Inspired Structured Vector Algebra for Cognitive Maps. - Sven Krausse; Emre Neftci; Friedrich T. Sommer; Alpha Renner (NICE, 2025)

A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity. - Jamie Lohoff; Anil Kaya; Florian Assmuth; Emre Neftci (NICE, 2025)

Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning. - Viet Anh Khoa Tran; Emre Neftci; Willem A. M. Wybo (CoRR, 2025)

Structured State Space Model Dynamics and Parametrization for Spiking Neural Networks. - Maxime Fabre; Lyubov Dudchenko; Emre Neftci (CoRR, 2025)

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models. - Sebastian Siegel; Ming-Jay Yang; Younes Bouhadjar; Maxime Fabre; Emre Neftci; John Paul Strachan (CoRR, 2025)