Alert button
Picture for Emre Neftci

Emre Neftci

Alert button

Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models

Nov 07, 2023
Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci

Viaarxiv icon

Design Principles for Lifelong Learning AI Accelerators

Oct 05, 2023
Dhireesha Kudithipudi, Anurag 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 Epstein

Figure 1 for Design Principles for Lifelong Learning AI Accelerators
Figure 2 for Design Principles for Lifelong Learning AI Accelerators
Figure 3 for Design Principles for Lifelong Learning AI Accelerators
Figure 4 for Design Principles for Lifelong Learning AI Accelerators
Viaarxiv icon

Understanding and Improving Optimization in Predictive Coding Networks

May 23, 2023
Nick Alonso, Jeff Krichmar, Emre Neftci

Figure 1 for Understanding and Improving Optimization in Predictive Coding Networks
Figure 2 for Understanding and Improving Optimization in Predictive Coding Networks
Figure 3 for Understanding and Improving Optimization in Predictive Coding Networks
Figure 4 for Understanding and Improving Optimization in Predictive Coding Networks
Viaarxiv icon

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking

Apr 15, 2023
Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander Bohte, Younes Bouhadjar, Sonia Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve 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 Michmizos, Dylan Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayca Ozcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Sun Pao-Sheng, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine Schuman, Jae-sun Seo, Sadique Sheik, 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

Figure 1 for NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking
Viaarxiv icon

Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control

Mar 21, 2023
Nathan Leroux, Jan Finkbeiner, Emre Neftci

Figure 1 for Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control
Figure 2 for Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control
Figure 3 for Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control
Figure 4 for Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control
Viaarxiv icon

A Theoretical Framework for Inference Learning

Jun 01, 2022
Nick Alonso, Beren Millidge, Jeff Krichmar, Emre Neftci

Figure 1 for A Theoretical Framework for Inference Learning
Figure 2 for A Theoretical Framework for Inference Learning
Figure 3 for A Theoretical Framework for Inference Learning
Figure 4 for A Theoretical Framework for Inference Learning
Viaarxiv icon

Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability

May 18, 2022
Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar

Figure 1 for Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability
Figure 2 for Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability
Figure 3 for Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability
Figure 4 for Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability
Viaarxiv icon

Meta-learning Spiking Neural Networks with Surrogate Gradient Descent

Jan 26, 2022
Kenneth Stewart, Emre Neftci

Figure 1 for Meta-learning Spiking Neural Networks with Surrogate Gradient Descent
Figure 2 for Meta-learning Spiking Neural Networks with Surrogate Gradient Descent
Figure 3 for Meta-learning Spiking Neural Networks with Surrogate Gradient Descent
Figure 4 for Meta-learning Spiking Neural Networks with Surrogate Gradient Descent
Viaarxiv icon

Training Spiking Neural Networks Using Lessons From Deep Learning

Oct 01, 2021
Jason K. Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu

Figure 1 for Training Spiking Neural Networks Using Lessons From Deep Learning
Figure 2 for Training Spiking Neural Networks Using Lessons From Deep Learning
Figure 3 for Training Spiking Neural Networks Using Lessons From Deep Learning
Figure 4 for Training Spiking Neural Networks Using Lessons From Deep Learning
Viaarxiv icon