Emre Neftci

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All published works

Action	Title	Year	Authors
+ PDF Chat	A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity	2025	Jamie Lohoff A. Kaya Florian Assmuth Emre Neftci
+	Distributed representations enable robust multi-timescale symbolic computation in neuromorphic hardware	2025	Madison Cotteret Hugh Greatorex Alpha Renner Junren Chen Emre Neftci Huaqiang Wu Giacomo Indiveri Martin Ziegler Elisabetta Chicca
+ PDF Chat	Optimal Gradient Checkpointing for Sparse and Recurrent Architectures using Off-Chip Memory	2024	Wadjih Bencheikh Jan Finkbeiner Emre Neftci
+ PDF Chat	Zero-Shot Temporal Resolution Domain Adaptation for Spiking Neural Networks	2024	Sanja Karilanova Maxime Fabre Emre Neftci Ayça Özçelikkale
+ PDF Chat	Gain Cell-Based Analog Content Addressable Memory for Dynamic Associative tasks in AI	2024	Paul-Philipp Manea Nathan Leroux Emre Neftci John Paul Strachan
+ PDF Chat	On-Chip Learning via Transformer In-Context Learning	2024	Jan Finkbeiner Emre Neftci
+ PDF Chat	Unsupervised Learning of Spatio-Temporal Patterns in Spiking Neuronal Networks	2024	Florian Feiler Emre Neftci Younes Bouhadjar
+ PDF Chat	Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models	2024	Nathan Leroux Paul-Philipp Manea Chirag Sudarshan Jan Finkbeiner Sebastian Siegel John Paul Strachan Emre Neftci
+ PDF Chat	SNNAX -- Spiking Neural Networks in JAX	2024	Jamie Lohoff Jan Finkbeiner Emre Neftci
+ PDF Chat	Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing	2024	Kenneth Stewart M. Neumeier Sumit Bam Shrestha Garrick Orchard Emre Neftci
+ PDF Chat	SNNAX - Spiking Neural Networks in JAX	2024	Jamie Lohoff Jan Finkbeiner Emre Neftci
+	ETLP: Event-based Three-factor Local Plasticity for online learning with neuromorphic hardware	2024	Fernando M. Quintana Fernando Perez‐Peña Pedro L. Galindo Emre Neftci Elisabetta Chicca Lyes Khacef
+ PDF Chat	Optimizing Automatic Differentiation with Deep Reinforcement Learning	2024	Jamie Lohoff Emre Neftci
+ PDF Chat	Distributed Representations Enable Robust Multi-Timescale Computation in Neuromorphic Hardware	2024	Madison Cotteret Hugh Greatorex Alpha Renner Junren Chen Emre Neftci Huaqiang Wu Giacomo Indiveri Martin Ziegler Elisabetta Chicca
+ PDF Chat	Understanding and Improving Optimization in Predictive Coding Networks	2024	Nicholas Alonso Jeffrey L. Krichmar Emre Neftci
+ PDF Chat	Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models	2024	Jan Finkbeiner Thomas Gmeinder Mark Pupilli Alexander Titterton Emre Neftci
+ PDF Chat	Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing	2024	Kenneth Stewart M. Neumeier Sumit Bam Shrestha Garrick Orchard Emre Neftci
+ PDF Chat	A Hybrid SNN-ANN Network for Event-based Object Detection with Spatial and Temporal Attention	2024	Soikat Hasan Ahmed Jan Finkbeiner Emre Neftci
+ PDF Chat	The Ouroboros of Memristors: Neural Networks Facilitating Memristor Programming	2024	Zhenming Yu Ming-Jay Yang Jan Finkbeiner Sebastian Siegel John Paul Strachan Emre Neftci
+ PDF Chat	The Ouroboros of Memristors: Neural Networks Facilitating Memristor Programming	2023	Zhenming Yu Ming-Jay Yang Jan Finkbeiner Sebastian Siegel John Paul Strachan Emre Neftci
+ PDF Chat	Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control	2023	Nathan Leroux Jan Finkbeiner Emre Neftci
+ PDF Chat	Training Spiking Neural Networks Using Lessons From Deep Learning	2023	Jason K. Eshraghian Max Ward Emre Neftci Xinxin Wang Gregor Lenz Girish Dwivedi Mohammed Bennamoun Doo Seok Jeong Wei Lü
+ PDF Chat	Integration of physics-derived memristor models with machine learning frameworks	2023	Zhenming Yu Stephan Menzel John Paul Strachan Emre Neftci
+	ETLP: Event-based Three-factor Local Plasticity for online learning with neuromorphic hardware	2023	Fernando M. Quintana Fernando Perez‐Peña Pedro L. Galindo Emre Neftci Elisabetta Chicca Lyes Khacef
+	Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control	2023	Nathan Leroux Jan Finkbeiner Emre Neftci
+	NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking	2023	Jason Yik Soikat Hasan Ahmed Zergham Ahmed B. J. Anderson Andreas G. Andreou Chiara Bartolozzi Arindam Basu Douwe den Blanken Petrut Bogdan Sander M. Bohté
+	Understanding and Improving Optimization in Predictive Coding Networks	2023	Nick Alonso Jeff Krichmar Emre Neftci
+	Design Principles for Lifelong Learning AI Accelerators	2023	Dhireesha Kudithipudi Anurag Daram Abdullah M. Zyarah Fatima Tuz Zohora James B. Aimone Ángel Yanguas-Gil Nicholas Soures Emre Neftci Matthew Mattina Vincenzo Lomonaco
+	Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models	2023	Jan Finkbeiner Thomas Gmeinder Mark Pupilli Alexander Titterton Emre Neftci
+ PDF Chat	Integration of Physics-Derived Memristor Models with Machine Learning Frameworks	2022	Zhenming Yu Stephan Menzel John Paul Strachan Emre Neftci
+	Meta-learning spiking neural networks with surrogate gradient descent	2022	Kenneth Stewart Emre Neftci
+ PDF Chat	Neural sampling machine with stochastic synapse allows brain-like learning and inference	2022	Sourav Dutta Georgios Detorakis Abhishek Khanna Benjamin Grisafe Emre Neftci Suman Datta
+ PDF Chat	Encoding Event-Based Data With a Hybrid SNN Guided Variational Auto-encoder in Neuromorphic Hardware	2022	Kenneth Stewart Andreea Danielescu Timothy M. Shea Emre Neftci
+ PDF Chat	2022 roadmap on neuromorphic computing and engineering	2022	Dennis Valbjørn Christensen Regina Dittmann B. Linares-Barranco Abu Sebastian Manuel Le Gallo Andrea Redaelli Stefan Slesazeck Thomas Mikolajick Sabina Spiga Stephan Menzel
+	Meta-learning Spiking Neural Networks with Surrogate Gradient Descent	2022	Kenneth W. Stewart Emre Neftci
+	Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability	2022	Jinwei Xing Takashi Nagata Xinyun Zou Emre Neftci Jeffrey L. Krichmar
+	A Theoretical Framework for Inference Learning	2022	Nick Alonso Beren Millidge Jeff Krichmar Emre Neftci
+	Hessian Aware Quantization of Spiking Neural Networks	2021	Hin Wai Lui Emre Neftci
+	Tightening the Biological Constraints on Gradient-Based Predictive Coding	2021	Nicholas Alonso Emre Neftci
+ PDF Chat	Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation	2021	Jinwei Xing Takashi Nagata Kexin Chen Xinyun Zou Emre Neftci Jeffrey L. Krichmar
+	2021 Roadmap on Neuromorphic Computing and Engineering.	2021	Dennis Valbjørn Christensen Regina Dittmann B. Linares-Barranco Abu Sebastian Manuel Le Gallo Andrea Redaelli Stefan Slesazeck Thomas Mikolajick Sabina Spiga Stephan Menzel
+	2022 Roadmap on Neuromorphic Computing and Engineering	2021	Dennis Valbjørn Christensen Regina Dittmann B. Linares-Barranco Abu Sebastian Manuel Le Gallo Andrea Redaelli Stefan Slesazeck Thomas Mikolajick Sabina Spiga Stephan Menzel
+	Tightening the Biological Constraints on Gradient-Based Predictive Coding	2021	Nick Alonso Emre Neftci
+	Hessian Aware Quantization of Spiking Neural Networks	2021	Hin Wai Lui Emre Neftci
+	Gesture Similarity Analysis on Event Data Using a Hybrid Guided Variational Auto Encoder.	2021	Kenneth Stewart Andreea Danielescu Lazar Supic Timothy M. Shea Emre Neftci
+ PDF Chat	Brain-Inspired Learning on Neuromorphic Substrates	2021	Friedemann Zenke Emre Neftci
+	Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation	2021	Jinwei Xing Takashi Nagata Kexin Chen Xinyun Zou Emre Neftci Jeffrey L. Krichmar
+	Hessian Aware Quantization of Spiking Neural Networks	2021	Hin Wai Lui Emre Neftci
+	Training Spiking Neural Networks Using Lessons From Deep Learning	2021	Jason K. Eshraghian Max Ward Emre Neftci Xinxin Wang Gregor Lenz Girish Dwivedi Mohammed Bennamoun Doo Seok Jeong Wei Lü
+	On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks	2020	Melika Payvand Mohammed E. Fouda Fadi Kurdahi Ahmed M. Eltawil Emre Neftci
+	Brain-Inspired Learning on Neuromorphic Substrates	2020	Friedemann Zenke Emre Neftci
+	Online Few-Shot Gesture Learning on a Neuromorphic Processor	2020	Kenneth Stewart Garrick Orchard Sumit Bam Shrestha Emre Neftci
+ PDF Chat	Memory Organization for Energy-Efficient Learning and Inference in Digital Neuromorphic Accelerators	2020	Clemens Schaefer Patrick Faley Emre Neftci Siddharth Joshi
+	Online Few-shot Gesture Learning on a Neuromorphic Processor	2020	Kenneth Stewart Garrick Orchard Sumit Bam Shrestha Emre Neftci
+ PDF Chat	Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE)	2020	Jacques Kaiser Hesham Mostafa Emre Neftci
+ PDF Chat	Error-triggered Three-Factor Learning Dynamics for Crossbar Arrays	2020	Melika Payvand Mohammed E. Fouda Fadi Kurdahi Ahmed M. Eltawil Emre Neftci
+	Memory Organization for Energy-Efficient Learning and Inference in Digital Neuromorphic Accelerators	2020	Clemens Schaefer Patrick Faley Emre Neftci Siddharth Joshi
+ PDF Chat	Spiking neural networks for inference and learning: a memristor-based design perspective	2020	Mohammed E. Fouda Fadi Kurdahi Ahmed M. Eltawil Emre Neftci
+	On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks	2020	Melika Payvand Mohammed E. Fouda Fadi Kurdahi Ahmed M. Eltawil Emre Neftci
+	Brain-Inspired Learning on Neuromorphic Substrates	2020	Friedemann Zenke Emre Neftci
+	Online Few-shot Gesture Learning on a Neuromorphic Processor	2020	Kenneth W. Stewart Garrick Orchard Sumit Bam Shrestha Emre Neftci
+	Memory Organization for Energy-Efficient Learning and Inference in Digital Neuromorphic Accelerators	2020	Clemens JS Schaefer Patrick Faley Emre Neftci Siddharth Joshi
+	Inherent Weight Normalization in Stochastic Neural Networks	2019	Georgios Detorakis Sourav Dutta Abhishek Khanna Matthew Jerry Suman Datta Emre Neftci
+	On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor	2019	Kenneth Stewart Garrick Orchard Sumit Bam Shrestha Emre Neftci
+	Embodied Event-Driven Random Backpropagation.	2019	Jacques Kaiser Alexander W. Friedrich J. Camilo Vasquez Tieck Daniel Reichard Arne Rönnau Emre Neftci Rüdiger Dillmann
+	Embodied Neuromorphic Vision with Event-Driven Random Backpropagation	2019	Jacques Kaiser Alexander W. Friedrich J. Camilo Vasquez Tieck Daniel Reichard Arne Roennau Emre Neftci Rüdiger Dillmann
+ PDF Chat	Contrastive Hebbian learning with random feedback weights	2019	Georgios Detorakis Travis Bartley Emre Neftci
+	Surrogate Gradient Learning in Spiking Neural Networks	2019	Emre Neftci Hesham Mostafa Friedemann Zenke
+	Inherent Weight Normalization in Stochastic Neural Networks	2019	Georgios Detorakis Sourav Dutta Abhishek Khanna Matthew Jerry Suman Datta Emre Neftci
+	Error-triggered Three-Factor Learning Dynamics for Crossbar Arrays	2019	Melika Payvand Mohammed E. Fouda Fadi Kurdahi Ahmed M. Eltawil Emre Neftci
+	On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor	2019	Kenneth W. Stewart Garrick Orchard Sumit Bam Shrestha Emre Neftci
+	Embodied Neuromorphic Vision with Event-Driven Random Backpropagation	2019	Jacques Kaiser Alexander W. Friedrich J. Camilo Vasquez Tieck Daniel Reichard Arne Roennau Emre Neftci Rüdiger Dillmann
+	Synaptic Plasticity Dynamics for Deep Continuous Local Learning.	2018	Jacques Kaiser Hesham Mostafa Emre Neftci
+ PDF Chat	Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning	2018	Georgios Detorakis Sadique Sheik Charles Augustine Somnath Paul Bruno U. Pedroni Nikil Dutt Jeffrey L. Krichmar Gert Cauwenberghs Emre Neftci
+	Contrastive Hebbian Learning with Random Feedback Weights	2018	Georgios Detorakis Travis Bartley Emre Neftci
+	Contrastive Hebbian Learning with Random Feedback Weights	2018	Georgios Detorakis Travis Bartley Emre Neftci
+ PDF Chat	Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines	2017	Emre Neftci Charles Augustine Somnath Paul Georgios Detorakis
+	Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning	2017	Georgios Detorakis Sadique Sheik Charles Augustine Somnath Paul Bruno U. Pedroni Nikil Dutt Jeffrey L. Krichmar Gert Cauwenberghs Emre Neftci
+ PDF Chat	Training a Probabilistic Graphical Model With Resistive Switching Electronic Synapses	2016	Sukru Burc Eryilmaz Emre Neftci Siddharth Joshi Sang‐Bum Kim M. BrightSky Hsiang-Lan Lung Chung Lam Gert Cauwenberghs H.‐S. Philip Wong
+ PDF Chat	Forward table-based presynaptic event-triggered spike-timing-dependent plasticity	2016	Bruno U. Pedroni Sadique Sheik Siddharth Joshi Georgios Detorakis Somnath Paul Charles Augustine Emre Neftci Gert Cauwenberghs
+ PDF Chat	Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware	2016	Peter U. Diehl Guido Zarrella Andrew Cassidy Bruno U. Pedroni Emre Neftci
+	Forward Table-Based Presynaptic Event-Triggered Spike-Timing-Dependent Plasticity	2016	Bruno U. Pedroni Sadique Sheik Siddharth Joshi Georgios Detorakis Somnath Paul Charles Augustine Emre Neftci Gert Cauwenberghs
+ PDF Chat	TrueHappiness: Neuromorphic emotion recognition on TrueNorth	2016	Peter U. Diehl Bruno U. Pedroni Andrew Cassidy Paul Merolla Emre Neftci Guido Zarrella
+ PDF Chat	Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines	2016	Emre Neftci Bruno U. Pedroni Siddharth Joshi Maruan Al-Shedivat Gert Cauwenberghs
+	Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware	2016	Peter U. Diehl Guido Zarrella Andrew Cassidy Bruno U. Pedroni Emre Neftci
+	TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth	2016	Peter U. Diehl Bruno U. Pedroni Andrew Cassidy Paul Merolla Emre Neftci Guido Zarrella
+	TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth	2016	Peter U. Diehl Bruno U. Pedroni Andrew Cassidy Paul Merolla Emre Neftci Guido Zarrella
+	Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware	2016	Peter U. Diehl Guido Zarrella Andrew Cassidy Bruno U. Pedroni Emre Neftci
+	Unsupervised Learning in Synaptic Sampling Machines.	2015	Emre Neftci Bruno U. Pedroni Siddharth Joshi Maruan Al-Shedivat Gert Cauwenberghs
+	Learning Non-deterministic Representations with Energy-based Ensembles	2014	Maruan Al-Shedivat Emre Neftci Gert Cauwenberghs
+ PDF Chat	Event-driven contrastive divergence for spiking neuromorphic systems	2014	Emre Neftci Srinjoy Das Bruno U. Pedroni Kenneth Kreutz-Delgado Gert Cauwenberghs
+	Learning Non-deterministic Representations with Energy-based Ensembles	2014	Maruan Al-Shedivat Emre Neftci Gert Cauwenberghs

Common Coauthors

Coauthor	Papers Together
Bruno U. Pedroni	13
Jan Finkbeiner	12
Georgios Detorakis	11
Gert Cauwenberghs	11
Siddharth Joshi	9
John Paul Strachan	9
Kenneth Stewart	8
Sumit Bam Shrestha	8
Garrick Orchard	7
Peter U. Diehl	6
Guido Zarrella	6
Suman Datta	6
Jeffrey L. Krichmar	6
Giacomo Indiveri	6
Melika Payvand	5
Jacques Kaiser	5
Mohammed E. Fouda	5
Somnath Paul	5
Charles Augustine	5
Fadi Kurdahi	5
Stephan Menzel	5
Sadique Sheik	5
Ahmed M. Eltawil	5
C. Posch	4
Andrew Cassidy	4
Jamie Lohoff	4
Kenneth W. Stewart	4
Friedemann Zenke	4
Nathan Leroux	4
Maruan Al-Shedivat	4
Chiara Bartolozzi	4
Elisabetta Chicca	4
Priyadarshini Panda	4
Zhenming Yu	4
Sabina Spiga	3
Wolfram H. P. Pernice	3
Srikanth Ramaswamy	3
Thomas A. Cleland	3
Sourav Dutta	3
Wolfgang Maass	3
Carlo Ricciardi	3
Manuel Le Gallo	3
B. Linares-Barranco	3
Shi‐Jun Liang	3
Tyler J. Quill	3
Gouhei Tanaka	3
Ilia Valov	3
Simon J. Thorpe	3
Dennis Valbjørn Christensen	3
Thomas Mikolajick	3

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks	2018	Friedemann Zenke Surya Ganguli	21
+	SLAYER: Spike Layer Error Reassignment in Time	2018	Sumit Bam Shrestha Garrick Orchard	15
+ PDF Chat	Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE)	2020	Jacques Kaiser Hesham Mostafa Emre Neftci	14
+ PDF Chat	Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines	2017	Emre Neftci Charles Augustine Somnath Paul Georgios Detorakis	12
+ PDF Chat	Deep Supervised Learning Using Local Errors	2018	Hesham Mostafa Vishwajith Ramesh Gert Cauwenberghs	11
+ PDF Chat	Brain-Inspired Learning on Neuromorphic Substrates	2021	Friedemann Zenke Emre Neftci	11
+ PDF Chat	Convolutional networks for fast, energy-efficient neuromorphic computing	2016	Steven K. Esser Paul Merolla John V. Arthur Andrew Cassidy Rathinakumar Appuswamy Alexander Andreopoulos David Van Den Berg Jeffrey L. McKinstry Timothy Melano Davis Barch	11
+ PDF Chat	Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades	2015	Garrick Orchard Ajinkya Jayawant Gregory Cohen Nitish V. Thakor	10
+	Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets	2019	Guillaume Bellec Franz Scherr Elias Hajek Darjan Salaj Robert Legenstein Wolfgang Maass	10
+ PDF Chat	Error-triggered Three-Factor Learning Dynamics for Crossbar Arrays	2020	Melika Payvand Mohammed E. Fouda Fadi Kurdahi Ahmed M. Eltawil Emre Neftci	9
+ PDF Chat	Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System	2016	Simon Friedmann Johannes Schemmel Andreas Grübl Andreas Hartel Matthias Hock Karlheinz Meier	9
+	Online Few-Shot Gesture Learning on a Neuromorphic Processor	2020	Kenneth Stewart Garrick Orchard Sumit Bam Shrestha Emre Neftci	9
+ PDF Chat	Training Deep Spiking Neural Networks Using Backpropagation	2016	Jun Haeng Lee Tobi Delbrück Michael Pfeiffer	8
+ PDF Chat	Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning Rules	2018	Wulfram Gerstner Marco P. Lehmann Vasiliki Liakoni Dane Corneil Johanni Brea	8
+	Surrogate Gradient Learning in Spiking Neural Networks	2019	Emre Neftci Hesham Mostafa Friedemann Zenke	8
+ PDF Chat	Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems	2014	Elisabetta Chicca Fabio Stefanini Chiara Bartolozzi Giacomo Indiveri	7
+	Synaptic Plasticity Dynamics for Deep Continuous Local Learning.	2018	Jacques Kaiser Hesham Mostafa Emre Neftci	7
+	Rounding Methods for Neural Networks with Low Resolution Synaptic Weights	2015	Lorenz K. Müller Giacomo Indiveri	7
+ PDF Chat	Event-driven contrastive divergence for spiking neuromorphic systems	2014	Emre Neftci Srinjoy Das Bruno U. Pedroni Kenneth Kreutz-Delgado Gert Cauwenberghs	7
+	Direct Feedback Alignment Provides Learning in Deep Neural Networks	2016	Arild Nøkland	7
+	A Learning Algorithm for Boltzmann Machines*	1985	David H. Ackley Geoffrey E. Hinton Terrence J. Sejnowski	7
+	Improving neural networks by preventing co-adaptation of feature detectors	2012	Geoffrey E. Hinton Nitish Srivastava Alex Krizhevsky Ilya Sutskever Ruslan Salakhutdinov	6
+	Gradient Descent for Spiking Neural Networks	2017	Dongsung Huh Terrence J. Sejnowski	6
+ PDF Chat	Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines	2016	Emre Neftci Bruno U. Pedroni Siddharth Joshi Maruan Al-Shedivat Gert Cauwenberghs	6
+ PDF Chat	Learning in the machine: The symmetries of the deep learning channel	2017	Pierre Baldi Peter Sadowski Zhiqin Lu	6
+	Overcoming catastrophic forgetting in neural networks	2017	James Kirkpatrick Razvan Pascanu Neil C. Rabinowitz Joel Veness Guillaume Desjardins Andrei A. Rusu Kieran Milan John Quan Tiago Ramalho Agnieszka Grabska‐Barwińska	6
+ PDF Chat	Event-Based Vision: A Survey	2020	Guillermo Gallego Tobi Delbrück Garrick Orchard Chiara Bartolozzi Brian Taba Andrea Censi Stefan Leutenegger Andrew J. Davison Jörg Conradt Kostas Daniilidis	5
+	SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes	2019	Johannes Thiele Olivier Bichler Antoine Dupret	5
+ PDF Chat	The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks	2020	Benjamin Cramer Yannik Stradmann Johannes Schemmel Friedemann Zenke	5
+	Spiking Deep Networks with LIF Neurons	2015	Eric Hunsberger Chris Eliasmith	5
+	Decoupled Neural Interfaces using Synthetic Gradients	2016	Max Jaderberg Wojciech Marian Czarnecki Simon Osindero Oriol Vinyals Alex Graves David Silver Koray Kavukcuoglu	5
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	4
+	Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1	2016	Matthieu Courbariaux Itay Hubara Daniel Soudry Ran El‐Yaniv Yoshua Bengio	4
+ PDF Chat	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	4
+	Online Spatio-Temporal Learning in Deep Neural Networks	2020	Thomas Bohnstingl Stanisław Woźniak Wolfgang Maass Angeliki Pantazi Evangelos Eleftheriou	4
+	Deep Learning with Limited Numerical Precision	2015	Suyog Gupta Ankur Agrawal Kailash Gopalakrishnan Pritish Narayanan	4
+ PDF Chat	Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures	2020	Chankyu Lee Syed Shakib Sarwar Priyadarshini Panda Gopalakrishnan Srinivasan Kaushik Roy	4
+ PDF Chat	Deep learning in spiking neural networks	2018	Amirhossein Tavanaei Masoud Ghodrati Saeed Reza Kheradpisheh Timothée Masquelier Anthony S. Maida	4
+	SMPLR: Deep SMPL reverse for 3D human pose and shape recovery	2018	Meysam Madadi Hugo Bertiche Sérgio Escalera	4
+ PDF Chat	Deep learning incorporating biologically inspired neural dynamics and in-memory computing	2020	Stanisław Woźniak Angeliki Pantazi Thomas Bohnstingl Evangelos Eleftheriou	4
+	Gradient Descent for Spiking Neural Networks	2017	Dongsung Huh Terrence J. Sejnowski	4
+	Learning in the machine: Random backpropagation and the deep learning channel	2018	Pierre Baldi Peter Sadowski Zhiqin Lu	4
+	Learning to learn by gradient descent by gradient descent	2016	Marcin Andrychowicz Misha Denil Sergio Luis Suárez Gómez Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas	4
+ PDF Chat	Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning	2018	Georgios Detorakis Sadique Sheik Charles Augustine Somnath Paul Bruno U. Pedroni Nikil Dutt Jeffrey L. Krichmar Gert Cauwenberghs Emre Neftci	4
+	Long short-term memory and Learning-to-learn in networks of spiking neurons	2018	Guillaume Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass	4
+	EMNIST: an extension of MNIST to handwritten letters	2017	Gregory Cohen Saeed Afshar Jonathan Tapson André van Schaik	4
+ PDF Chat	Is a 4-Bit Synaptic Weight Resolution Enough? – Constraints on Enabling Spike-Timing Dependent Plasticity in Neuromorphic Hardware	2012	Thomas Pfeil Tobias C. Potjans Sven Schrader Wiebke Potjans Johannes Schemmel Markus Diesmann Karlheinz Meier	4
+	Towards deep learning with segregated dendrites	2017	Jordan Guerguiev Timothy Lillicrap Blake A. Richards	4
+ PDF Chat	Supervised Learning Based on Temporal Coding in Spiking Neural Networks	2017	Hesham Mostafa	4
+	Training spiking multi-layer networks with surrogate gradients on an analog neuromorphic substrate	2020	Benjamin Cramer Sebastian Billaudelle Simeon Kanya Aron Leibfried Andreas Grübl Vitali Karasenko Christian Pehle Korbinian Schreiber Yannik Stradmann Johannes Weis	4