Emre Neftci
- Surrogate Gradient Learning in Spiking Neural Networks
2019/01/28 by Emre Neftci, Hesham Mostafa, Neftci, Emre O. +3 · 82 citations
Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Biological sciences #FOS: Computer and information sciences #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
- Training Spiking Neural Networks Using Lessons From Deep Learning
2021/09/27 by Jason K. Eshraghian, Eshraghian, Jason K., Max Ward +15 · 1 voice · 56 citations
#cs.NE #cs.ET #cs.LG
- Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks
2019/11/01 by Emre Neftci, Emre O. Neftci, Hesham Mostafa +1 · 69 citations
Engineering · Neuroscience · Computer Science · #Advanced Memory and Neural Computing #Neural dynamics and brain function #Neural Networks and Reservoir Computing
- Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
2016/12/16 by Emre Neftci, Charles Augustine, Somnath Paul +1 · 2 voices · 1 citation
Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural dynamics and brain function #cs.AI #cs.NE
- Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models
2024/09/28 by Nathan Leroux, Leroux, Nathan, Paul-Philipp Manea +11 · 1 voice · 5 citations
Computer Science · Engineering · #Topic Modeling #Advanced Neural Network Applications #Ferroelectric and Negative Capacitance Devices
- NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
2023/04/10 by Jason Yik, Korneel Van den Berghe, Yik, Jason +208 · 1 voice · 7 citations
Computer Science · Engineering · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural Networks and Reservoir Computing #cs.AI
- Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation
2021/02/10 by Jinwei Xing, Takashi Nagata, Xing, Jinwei +9 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
- Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention
2024/03/15 by Soikat Hasan Ahmed, Jan Finkbeiner, Ahmed, Soikat Hasan +3 · 4 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Robotics and Automated Systems #Neural Networks and Applications
- On-Chip Error-triggered Learning of Multi-layer Memristive Spiking\n Neural Networks
2020/11/21 by Melika Payvand, Mohammed E. Fouda, Payvand, Melika +7 · 1 citation
Engineering · Neuroscience · #Advanced Memory and Neural Computing #CCD and CMOS Imaging Sensors #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
- Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models
2023/11/07 by Jan Finkbeiner, Finkbeiner, Jan, Thomas Gmeinder +7 · 1 citation
Engineering · Computer Science · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Stochastic Gradient Optimization Techniques
- Gain Cell-Based Analog Content Addressable Memory for Dynamic Associative tasks in AI
2024/10/13 by Paul-Philipp Manea, Nathan Leroux, Manea, Paul-Philipp +5 · 1 citation
Engineering · Neuroscience · #Advanced Memory and Neural Computing #Brain Tumor Detection and Classification #Emerging Technologies (cs.ET) #FOS: Computer and information sciences