Daniel Ben Dayan Rubin

According to our database, Daniel Ben Dayan Rubin authored at least 11 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

The Intel neuromorphic DNS challenge.

Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy M. Shea, Mike Davies

Neuromorph. Comput. Eng., September, 2023

2022

Efficient Neuromorphic Signal Processing with Resonator Neurons.

Edward Paxon Frady, Sophia Sanborn, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Garrick Orchard, Friedrich T. Sommer, Mike Davies

J. Signal Process. Syst., 2022

2021

Efficient Neuromorphic Signal Processing with Loihi 2.

Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies

Proceedings of the IEEE Workshop on Signal Processing Systems, 2021

2015

Neuromorphic accelerators: a comparison between neuroscience and machine-learning approaches.

Zidong Du, Daniel D. Ben-Dayan Rubin, Yunji Chen, Liqiang He, Tianshi Chen, Lei Zhang, Chengyong Wu, Olivier Temam

Proceedings of the 48th International Symposium on Microarchitecture, 2015

2013

Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores.

Andrew S. Cassidy, Paul Merolla, John V. Arthur, Steven K. Esser, Bryan L. Jackson, Rodrigo Alvarez-Icaza, Pallab Datta, Jun Sawada, Theodore M. Wong, Vitaly Feldman, Arnon Amir, Daniel Ben Dayan Rubin, Filipp Akopyan, Emmett McQuinn, William P. Risk, Dharmendra S. Modha

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Building block of a programmable neuromorphic substrate: A digital neurosynaptic core.

John V. Arthur, Paul Merolla, Filipp Akopyan, Rodrigo Alvarez-Icaza, Andrew Cassidy, Shyamal Chandra, Steven K. Esser, Nabil Imam, William P. Risk, Daniel Ben Dayan Rubin, Rajit Manohar, Dharmendra S. Modha

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2010

Attractor concretion as a mechanism for the formation of context representations.

Mattia Rigotti, Daniel Ben Dayan Rubin, Sara E. Morrison, C. Daniel Salzman, Stefano Fusi

NeuroImage, 2010

Internal Representation of Task Rules by Recurrent Dynamics: The Importance of the Diversity of Neural Responses.

Mattia Rigotti, Daniel Ben Dayan Rubin, Xiao-Jing Wang, Stefano Fusi

Frontiers Comput. Neurosci., 2010

2007

Long memory lifetimes require complex synapses and limited sparseness.

Daniel Ben Dayan Rubin, Stefano Fusi

Frontiers Comput. Neurosci., 2007

2004

Synaptic value bounds for optimizing retrieval in recurrent neural networks.

Daniel Ben Dayan Rubin

Neurocomputing, 2004

Characterizing the Firing Properties of an Adaptive Analog VLSI Neuron.

Daniel Ben Dayan Rubin, Elisabetta Chicca, Giacomo Indiveri

Proceedings of the Biologically Inspired Approaches to Advanced Information Technology, 2004