Emre Neftci - RankMe

121 papers A* 7A 1B 6C 10Misc 1Journal 65Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dissecting Linear Recurrent Models: How Different Gating Strategies Drive Selectivity and Generalization. CoRR Younes Bouhadjar, Maxime Fabre, Felix Schmidt, Emre Neftci
2026	J	`jnl`	Hybrid guided variational autoencoder for visual place recognition. CoRR Ni Wang, Zihan You, Emre Neftci, Thorben Schoepe
2026	J	`jnl`	Learning to Remember, Learn, and Forget in Attention-Based Models. CoRR Djohan Bonnet, Jamie Lohoff, Jan Finkbeiner, Elidona Skhikerujah, Emre Neftci
2026	J	`jnl`	Sparse Axonal and Dendritic Delays Enable Competitive SNNs for Keyword Classification. CoRR Younes Bouhadjar, Emre Neftci
2026	J	`jnl`	Zero-shot temporal resolution domain adaptation for spiking neural networks. Neural Networks Sanja Karilanova, Maxime Fabre, Emre Neftci, Ayça Özçelikkale
2025	—	`conf`	A Grid Cell-Inspired Structured Vector Algebra for Cognitive Maps. NICE Sven Krausse, Emre Neftci, Friedrich T. Sommer, Alpha Renner
2025	J	`jnl`	A Grid Cell-Inspired Structured Vector Algebra for Cognitive Maps. CoRR Sven Krausse, Emre Neftci, Friedrich T. Sommer, Alpha Renner
2025	—	`conf`	A Reconfigurable Event Driven Accelerator for SNN Inference. AICAS Yuankang Zhao, Arne Heittman, Emre Neftci
2025	—	`conf`	A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity. NICE Jamie Lohoff, Anil Kaya, Florian Assmuth, Emre Neftci
2025	J	`jnl`	A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity. CoRR Jamie Lohoff, Anil Kaya, Florian Assmuth, Emre Neftci
2025	J	`jnl`	Analog in-memory computing attention mechanism for fast and energy-efficient large language models. Nat. Comput. Sci. Nathan Leroux, Paul-Philipp Manea, Chirag Sudarshan, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan, Emre Neftci
2025	J	`jnl`	Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning. CoRR Viet Anh Khoa Tran, Emre Neftci, Willem A. M. Wybo
2025	J	`jnl`	Distributed representations enable robust multi-timescale symbolic computation in neuromorphic hardware. Neuromorph. Comput. Eng. Madison Cotteret, Hugh Greatorex, Alpha Renner, Junren Chen, Emre Neftci, Huaqiang Wu, Giacomo Indiveri, Martin Ziegler, Elisabetta Chicca
2025	A*	`conf`	Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention. CVPR Soikat Hasan Ahmed, Jan Finkbeiner, Emre Neftci
2025	C	`conf`	Gain Cell-based Analog Content Addressable Memory for Dynamic Associative Tasks in AI. ISCAS Paul-Philipp Manea, Nathan Leroux, Emre Neftci, John Paul Strachan
2025	—	`conf`	Improved Memristor Control using Device Physics and Deep Reinforcement Learning. AICAS Ming-Jay Yang, Zhenming Yu, Giacomo Pedretti, Emre Neftci, John Paul Strachan
2025	J	`jnl`	Neuromorphic principles in self-attention hardware for efficient transformers. Nat. Comput. Sci. Nathan Leroux, Jan Finkbeiner, Emre Neftci
2025	—	`conf`	On-Chip Learning via Transformer In-Context Learning. AICAS Jan Finkbeiner, Emre Neftci
2025	J	`jnl`	QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models. CoRR Sebastian Siegel, Ming-Jay Yang, Younes Bouhadjar, Maxime Fabre, Emre Neftci, John Paul Strachan
2025	J	`jnl`	Structured State Space Model Dynamics and Parametrization for Spiking Neural Networks. CoRR Maxime Fabre, Lyubov Dudchenko, Emre Neftci
2025	J	`jnl`	SymSeqBench: a unified framework for the generation and analysis of rule-based symbolic sequences and datasets. CoRR Barna Zajzon, Younes Bouhadjar, Maxime Fabre, Felix Schmidt, Noah Ostendorf, Emre Neftci, Abigail Morrison, Renato C. Duarte
2025	—	`conf`	Unsupervised online learning of complex sequences in spiking neuronal networks. ICONS Younes Bouhadjar, Melissa Lober, Emre Neftci, Markus Diesmann, Tom Tetzlaff
2024	J	`jnl`	A Hybrid SNN-ANN Network for Event-based Object Detection with Spatial and Temporal Attention. CoRR Soikat Hasan Ahmed, Jan Finkbeiner, Emre Neftci
2024	J	`jnl`	Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models. CoRR Nathan Leroux, Paul-Philipp Manea, Chirag Sudarshan, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan, Emre Neftci
2024	J	`jnl`	Distributed Representations Enable Robust Multi-Timescale Computation in Neuromorphic Hardware. CoRR Madison Cotteret, Hugh Greatorex, Alpha Renner, Junren Chen, Emre Neftci, Huaqiang Wu, Giacomo Indiveri, Martin Ziegler, Elisabetta Chicca
2024	J	`jnl`	Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing. CoRR Kenneth Michael Stewart, Michael Neumeier, Sumit Bam Shrestha, Garrick Orchard, Emre Neftci
2024	J	`jnl`	Gain Cell-Based Analog Content Addressable Memory for Dynamic Associative tasks in AI. CoRR Paul-Philipp Manea, Nathan Leroux, Emre Neftci, John Paul Strachan
2024	J	`jnl`	Guest Editorial: Special Issue on Advancing Machine Intelligence With Neuromorphic Computing. IEEE Trans. Cogn. Dev. Syst. Guoqi Li, Emre Neftci, Rong Xiao, Pablo Lanillos, Kaushik Roy
2024	—	`conf`	Hardware-aware Few-shot Learning on a Memristor-based Small-world Architecture. NICE Karthik Charan Raghunathan, Yigit Demirag, Emre Neftci, Melika Payvand
2024	A*	`conf`	Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models. AAAI Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci
2024	J	`jnl`	Integration of Physics-Derived Memristor Models with Machine Learning Frameworks. CoRR Zhenming Yu, Stephan Menzel, John Paul Strachan, Emre Neftci
2024	J	`jnl`	On-Chip Learning via Transformer In-Context Learning. CoRR Jan Finkbeiner, Emre Neftci
2024	J	`jnl`	Optimal Gradient Checkpointing for Sparse and Recurrent Architectures using Off-Chip Memory. CoRR Wadjih Bencheikh, Jan Finkbeiner, Emre Neftci
2024	A*	`conf`	Optimizing Automatic Differentiation with Deep Reinforcement Learning. NeurIPS Jamie Lohoff, Emre Neftci
2024	J	`jnl`	Optimizing Automatic Differentiation with Deep Reinforcement Learning. CoRR Jamie Lohoff, Emre Neftci
2024	—	`conf`	SNNAX - Spiking Neural Networks in JAX. ICONS Jamie Lohoff, Jan Finkbeiner, Emre Neftci
2024	J	`jnl`	SNNAX - Spiking Neural Networks in JAX. CoRR Jamie Lohoff, Jan Finkbeiner, Emre Neftci
2024	—	`conf`	The Ouroboros of Memristors: Neural Networks Facilitating Memristor Programming. AICAS Zhenming Yu, Ming-Jay Yang, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan, Emre Neftci
2024	J	`jnl`	The Ouroboros of Memristors: Neural Networks Facilitating Memristor Programming. CoRR Zhenming Yu, Ming-Jay Yang, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan, Emre Neftci
2024	A*	`conf`	Understanding and Improving Optimization in Predictive Coding Networks. AAAI Nicholas Alonso, Jeffrey L. Krichmar, Emre Neftci
2024	—	`conf`	Unsupervised Learning of Spatio-Temporal Patterns in Spiking Neuronal Networks. ICONS Florian Feiler, Emre Neftci, Younes Bouhadjar
2024	J	`jnl`	Zero-Shot Temporal Resolution Domain Adaptation for Spiking Neural Networks. CoRR Sanja Karilanova, Maxime Fabre, Emre Neftci, Ayça Özçelikkale
2023	J	`jnl`	Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization. Neural Networks Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar
2023	J	`jnl`	Design Principles for Lifelong Learning AI Accelerators. CoRR 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
2023	J	`jnl`	Editorial: Focus issue on machine learning for neuromorphic engineering. Neuromorph. Comput. Eng. Melika Payvand, Emre Neftci, Friedemann Zenke
2023	J	`jnl`	Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models. CoRR Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci
2023	—	`conf`	Interfacing Neuromorphic Hardware with Machine Learning Frameworks - A Review. ICONS Jamie Lohoff, Zhenming Yu, Jan Finkbeiner, Anil Kaya, Kenneth Michael Stewart, Hin Wai Lui, Emre Neftci
2023	—	`conf`	Low-Power Traffic Surveillance using Multiple RGB and Event Cameras: A Survey. ISC2 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
2023	J	`jnl`	NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR 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, P. 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 Michael 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
2023	—	`conf`	Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control. BioCAS Nathan Leroux, Jan Finkbeiner, Emre Neftci
2023	J	`jnl`	Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control. CoRR Nathan Leroux, Jan Finkbeiner, Emre Neftci
2023	—	`conf`	Patient Privacy Protecting Physics Informed Neural Network for Cardiovascular Monitoring. BioCAS Hin Wai Lui, Eric M. Gallo, Emre Neftci
2023	J	`jnl`	Understanding and Improving Optimization in Predictive Coding Networks. CoRR Nick Alonso, Jeff Krichmar, Emre Neftci
2022	J	`jnl`	2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 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, Nini Pryds
2022	J	`jnl`	A Theoretical Framework for Inference Learning. CoRR Nick Alonso, Beren Millidge, Jeff Krichmar, Emre Neftci
2022	—	`conf`	Encoding Event-Based Data With a Hybrid SNN Guided Variational Auto-encoder in Neuromorphic Hardware. NICE Kenneth Michael Stewart, Andreea Danielescu, Timothy M. Shea, Emre Neftci
2022	A	`conf`	HyperSpike: HyperDimensional Computing for More Efficient and Robust Spiking Neural Networks. DATE Justin Morris, Hin Wai Lui, Kenneth Michael Stewart, Behnam Khaleghi, Anthony Thomas, Thiago Marback, Baris Aksanli, Emre Neftci, Tajana Rosing
2022	—	`conf`	Integration of Physics-Derived Memristor Models with Machine Learning Frameworks. IEEECONF Zhenming Yu, Stephan Menzel, John Paul Strachan, Emre Neftci
2022	J	`jnl`	Meta-learning Spiking Neural Networks with Surrogate Gradient Descent. CoRR Kenneth Michael Stewart, Emre Neftci
2022	J	`jnl`	Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability. CoRR Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar
2022	A*	`conf`	Skipper: Enabling efficient SNN training through activation-checkpointing and time-skipping. MICRO Sonali Singh, Anup Sarma, Sen Lu, Abhronil Sengupta, Mahmut T. Kandemir, Emre Neftci, Vijaykrishnan Narayanan, Chita R. Das
2022	B	`conf`	Uncertainty Aware Model Integration on Reinforcement Learning. IJCNN Takashi Nagata, Jinwei Xing, Tsutomu Kumazawa, Emre Neftci
2021	J	`jnl`	2021 Roadmap on Neuromorphic Computing and Engineering. CoRR 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, Nini Pryds
2021	A*	`conf`	Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation. AAAI Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar
2021	J	`jnl`	Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation. CoRR Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar
2021	J	`jnl`	Gesture Similarity Analysis on Event Data Using a Hybrid Guided Variational Auto Encoder. CoRR Kenneth Michael Stewart, Andreea Danielescu, Lazar Supic, Timothy M. Shea, Emre Neftci
2021	—	`conf`	Hessian Aware Quantization of Spiking Neural Networks. ICONS Hin Wai Lui, Emre Neftci
2021	J	`jnl`	Hessian Aware Quantization of Spiking Neural Networks. CoRR Hin Wai Lui, Emre Neftci
2021	—	`conf`	Improving full-FORCE with dynamical data coupling and multilayer architecture. BioCAS Yue Yin, Emre Neftci
2021	J	`jnl`	Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference. CoRR Sourav Dutta, Georgios Detorakis, Abhishek Khanna, Benjamin Grisafe, Emre Neftci, Suman Datta
2021	—	`conf`	Tightening the Biological Constraints on Gradient-Based Predictive Coding. ICONS Nicholas Alonso, Emre Neftci
2021	J	`jnl`	Tightening the Biological Constraints on Gradient-Based Predictive Coding. CoRR Nick Alonso, Emre Neftci
2021	J	`jnl`	Training Spiking Neural Networks Using Lessons From Deep Learning. CoRR Jason Kamran Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu
2020	B	`conf`	Building a Better Lie Detector with BERT: The Difference Between Truth and Lies. IJCNN Dan Barsever, Sameer Singh, Emre Neftci
2020	—	`conf`	Embodied Neuromorphic Vision with Continuous Random Backpropagation. BioRob Jacques Kaiser, Alexander Friedrich, Juan Camilo Vasquez Tieck, Daniel Reichard, Arne Roennau, Emre Neftci, Rüdiger Dillmann
2020	—	`conf`	High-Speed, Real-Time, Spike-Based Object Tracking and Path Prediction on Google Edge TPU. AICAS Jonah Sengupta, Rajkumar Kubendran, Emre Neftci, Andreas G. Andreou
2020	—	`conf`	Live Demonstration: On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. AICAS Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci
2020	—	`conf`	On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. AICAS Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci
2020	J	`jnl`	Online Few-Shot Gesture Learning on a Neuromorphic Processor. IEEE J. Emerg. Sel. Topics Circuits Syst. Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci
2020	J	`jnl`	Online Few-shot Gesture Learning on a Neuromorphic Processor. CoRR Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci
2020	C	`conf`	Terrain Classification with a Reservoir-Based Network of Spiking Neurons. ISCAS Xinyun Zou, Tiffany Hwu, Jeffrey L. Krichmar, Emre Neftci
2019	J	`jnl`	Contrastive Hebbian learning with random feedback weights. Neural Networks Georgios Detorakis, Travis Bartley, Emre Neftci
2019	Misc	`conf`	Effect of Asymmetric Nonlinearity Dynamics in RRAMs on Spiking Neural Network Performance. ACSSC Mohammed E. Fouda, Emre Neftci, Ahmed M. Eltawil, Fadi J. Kurdahi
2019	J	`jnl`	Embodied Event-Driven Random Backpropagation. CoRR Jacques Kaiser, Alexander Friedrich, Juan Camilo Vasquez Tieck, Daniel Reichard, Arne Roennau, Emre Neftci, Rüdiger Dillmann
2019	A*	`conf`	Inherent Weight Normalization in Stochastic Neural Networks. NeurIPS Georgios Detorakis, Sourav Dutta, Abhishek Khanna, Matthew Jerry, Suman Datta, Emre Neftci
2019	J	`jnl`	Inherent Weight Normalization in Stochastic Neural Networks. CoRR Georgios Detorakis, Sourav Dutta, Abhishek Khanna, Matthew Jerry, Suman Datta, Emre Neftci
2019	J	`jnl`	On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. CoRR Kenneth Michael Stewart, Emre Neftci, Garrick Orchard, Sumit Bam Shrestha
2019	J	`jnl`	Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective. CoRR Mohamed E. Fouda, Fadi J. Kurdahi, Ahmed M. Eltawil, Emre Neftci
2018	B	`conf`	A Recurrent Neural Network Based Model of Predictive Smooth Pursuit Eye Movement in Primates. IJCNN Hirak Jyoti Kashyap, Georgios Detorakis, Nikil D. Dutt, Jeffrey L. Krichmar, Emre Neftci
2018	J	`jnl`	Contrastive Hebbian Learning with Random Feedback Weights. CoRR Georgios Detorakis, Travis Bartley, Emre Neftci
2018	J	`jnl`	Synaptic Plasticity Dynamics for Deep Continuous Local Learning. CoRR Jacques Kaiser, Hesham Mostafa, Emre Neftci
2017	C	`conf`	Event-driven random backpropagation: Enabling neuromorphic deep learning machines. ISCAS Emre Neftci, Charles Augustine, Somnath Paul, Georgios Detorakis
2017	J	`jnl`	Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning. CoRR Georgios Detorakis, Sadique Sheik, Charles Augustine, Somnath Paul, Bruno U. Pedroni, Nikil D. Dutt, Jeffrey L. Krichmar, Gert Cauwenberghs, Emre Neftci
2016	J	`jnl`	Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware. CoRR Peter U. Diehl, Guido Zarrella, Andrew S. Cassidy, Bruno U. Pedroni, Emre Neftci
2016	—	`conf`	Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware. ICRC Peter U. Diehl, Guido Zarrella, Andrew Cassidy, Bruno U. Pedroni, Emre Neftci
2016	J	`jnl`	Event-driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines. CoRR Emre Neftci, Charles Augustine, Somnath Paul, Georgios Detorakis
2016	J	`jnl`	Forward Table-Based Presynaptic Event-Triggered Spike-Timing-Dependent Plasticity. CoRR Bruno U. Pedroni, Sadique Sheik, Siddharth Joshi, Georgios Detorakis, Somnath Paul, Charles Augustine, Emre Neftci, Gert Cauwenberghs
2016	—	`conf`	Forward table-based presynaptic event-triggered spike-timing-dependent plasticity. BioCAS Bruno U. Pedroni, Sadique Sheik, Siddharth Joshi, Georgios Detorakis, Somnath Paul, Charles Augustine, Emre Neftci, Gert Cauwenberghs
2016	—	`conf`	Neuromorphic architectures with electronic synapses. ISQED Sukru Burc Eryilmaz, Siddharth Joshi, Emre Neftci, Weier Wan, Gert Cauwenberghs, H.-S. Philip Wong
2016	C	`conf`	Stochastic neuromorphic learning machines for weakly labeled data. ICCD Emre Neftci
2016	C	`conf`	Stochastic synaptic plasticity with memristor crossbar arrays. ISCAS Rawan Naous, Maruan Al-Shedivat, Emre Neftci, Gert Cauwenberghs, Khaled Nabil Salama
2016	C	`conf`	Synaptic sampling in hardware spiking neural networks. ISCAS Sadique Sheik, Somnath Paul, Charles Augustine, Chinnikrishna Kothapalli, Muhammad M. Khellah, Gert Cauwenberghs, Emre Neftci
2016	J	`jnl`	Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses. CoRR Sukru Burc Eryilmaz, Emre Neftci, Siddharth Joshi, Sangbum Kim, Matthew BrightSky, Hsiang-Lan Lung, Chung Lam, Gert Cauwenberghs, H.-S. Philip Wong
2016	J	`jnl`	TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth. CoRR Peter U. Diehl, Bruno U. Pedroni, Andrew Cassidy, Paul Merolla, Emre Neftci, Guido Zarrella
2016	B	`conf`	TrueHappiness: Neuromorphic emotion recognition on TrueNorth. IJCNN Peter U. Diehl, Bruno U. Pedroni, Andrew Cassidy, Paul Merolla, Emre Neftci, Guido Zarrella
2015	—	`conf`	Inherently stochastic spiking neurons for probabilistic neural computation. NER Maruan Al-Shedivat, Rawan Naous, Emre Neftci, Gert Cauwenberghs, Khaled N. Salama
2015	—	`conf`	Learning Non-deterministic Representations with Energy-based Ensembles. ICLR (Workshop) Maruan Al-Shedivat, Emre Neftci, Gert Cauwenberghs
2015	J	`jnl`	Learning of Chunking Sequences in Cognition and Behavior. PLoS Comput. Biol. Jordi Fonollosa, Emre Neftci, Mikhail I. Rabinovich
2015	J	`jnl`	Unsupervised Learning in Synaptic Sampling Machines. CoRR Emre Neftci, Bruno U. Pedroni, Siddharth Joshi, Maruan Al-Shedivat, Gert Cauwenberghs
2014	—	`conf`	A 65k-neuron 73-Mevents/s 22-pJ/event asynchronous micro-pipelined integrate-and-fire array transceiver. BioCAS Jongkil Park, Sohmyung Ha, Theodore Yu, Emre Neftci, Gert Cauwenberghs
2014	J	`jnl`	PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems. Frontiers Neuroinformatics Fabio Stefanini, Emre Neftci, Sadique Sheik, Giacomo Indiveri
2013	J	`jnl`	Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems. CoRR Emre Neftci, Srinjoy Das, Bruno U. Pedroni, Kenneth Kreutz-Delgado, Gert Cauwenberghs
2013	B	`conf`	Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks. IJCNN Bruno U. Pedroni, Srinjoy Das, Emre Neftci, Kenneth Kreutz-Delgado, Gert Cauwenberghs
2012	B	`conf`	Function approximation with uncertainty propagation in a VLSI spiking neural network. IJCNN Dane S. Corneil, Daniel Sonnleithner, Emre Neftci, Elisabetta Chicca, Matthew Cook, Giacomo Indiveri, Rodney J. Douglas
2012	C	`conf`	Real-time inference in a VLSI spiking neural network. ISCAS Dane S. Corneil, Daniel Sonnleithner, Emre Neftci, Elisabetta Chicca, Matthew Cook, Giacomo Indiveri, Rodney J. Douglas
2012	—	`conf`	Systematic Construction of Finite State Automata Using VLSI Spiking Neurons. Living Machines Emre Neftci, Jonathan Binas, Elisabetta Chicca, Giacomo Indiveri, Rodney J. Douglas
2011	J	`jnl`	A Systematic Method for Configuring VLSI Networks of Spiking Neurons. Neural Comput. Emre Neftci, Elisabetta Chicca, Giacomo Indiveri, Rodney J. Douglas
2011	C	`conf`	Systematic configuration and automatic tuning of neuromorphic systems. ISCAS Sadique Sheik, Fabio Stefanini, Emre Neftci, Elisabetta Chicca, Giacomo Indiveri
2010	C	`conf`	Live demonstration: State-dependent sensory processing in networks of VLSI spiking neurons. ISCAS Emre Neftci, Elisabetta Chicca, Matthew Cook, Giacomo Indiveri, Rodney J. Douglas
2010	C	`conf`	State-dependent sensory processing in networks of VLSI spiking neurons. ISCAS Emre Neftci, Elisabetta Chicca, Matthew Cook, Giacomo Indiveri, Rodney J. Douglas
2007	—	`conf`	Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons. NIPS Emre Neftci, Elisabetta Chicca, Giacomo Indiveri, Jean-Jacques E. Slotine, Rodney J. Douglas