P. Michael Furlong

According to our database, P. Michael Furlong authored at least 30 papers between 2009 and 2026.

Collaborative distances:

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

2026

Neuromorphic visual attention for Sign-language recognition on SpiNNaker.

Sarka Liskova, Olha Vedmedenko, Mazdak Fatahi, Matej Hoffmann, P. Michael Furlong, Giulia D'Angelo

CoRR, May, 2026

2025

Developing a Foundation of Vector Symbolic Architectures Using Category Theory.

Nolan P. Shaw, P. Michael Furlong, Britt Anderson, Jeff Orchard

CoRR, January, 2025

Wandering around: a bioinspired approach to visual attention through object motion sensitivity.

Giulia D'Angelo, Victoria Clerico, Chiara Bartolozzi, Matej Hoffmann, P. Michael Furlong, Alexander Hadjiivanov

Neuromorph. Comput. Eng., 2025

A Cognitively Plausible Visual Working Memory Model.

Anna Penzkofer, P. Michael Furlong, Chris Eliasmith, Andreas Bulling

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

2024

Efficient Hyperdimensional Computing With Spiking Phasors.

Jeff Orchard, P. Michael Furlong, Kathryn Simone

Neural Comput., 2024

A Recurrent Dynamic Model for Efficient Bayesian Optimization^*.

P. Michael Furlong, Nicole Sandra-Yaffa Dumont, Jeff Orchard

Proceedings of the Neuro Inspired Computational Elements Conference, 2024

Biologically-Plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-Encoded Distributions.

P. Michael Furlong, Kathryn Simone, Nicole Sandra-Yaffa Dumont, Madeleine Bartlett, Terrence C. Stewart, Jeff Orchard, Chris Eliasmith

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Using Vector Symbolic Architectures for Distributed Action Representations in a Spiking Model of the Basal Ganglia.

Madeleine Bartlett, P. Michael Furlong, Terrence C. Stewart, Jeff Orchard

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

2023

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

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

CoRR, 2023

2022

Fractional Binding in Vector Symbolic Architectures as Quasi-Probability Statements.

P. Michael Furlong, Chris Eliasmith

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Human-Aware Reinforcement Learning for Fault Recovery Using Contextual Gaussian Processes.

Steve McGuire, P. Michael Furlong, Christoffer Heckman, Simon Julier, Nisar R. Ahmed

J. Aerosp. Inf. Syst., July, 2021

Continuous then discrete: A recommendation for building robotic brains.

Chris Eliasmith, P. Michael Furlong

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics.

Somrita Banerjee, James Harrison, P. Michael Furlong, Marco Pavone

CoRR, 2020

Advancing the Scientific Frontier with Increasingly Autonomous Systems.

Rashied B. Amini, Abigail Azari, Shyam Bhaskaran, Patricia Beauchamp, Julie C. Castillo-Rogez, Rebecca Castaño, Seung Chung, John C. Day, Richard J. Doyle, Martin Feather, Lorraine M. Fesq, Jeremy Frank, P. Michael Furlong, Michel D. Ingham, Brian M. Kennedy, Ksenia Kolcio, Issa Nesnas, Robert Rasmussen, Glenn Reeves, Cristina Sorice, Bethany Theiling, Jay Wyatt

CoRR, 2020

Search Tree Pruning for Progressive Neural Architecture Search (Student Abstract).

Deanna Flynn, P. Michael Furlong, Brian Coltin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Everybody Needs Somebody Sometimes: Validation of Adaptive Recovery in Robotic Space Operations.

Steve McGuire, P. Michael Furlong, Terry Fong, Christoffer Heckman, Daniel Szafir, Simon J. Julier, Nisar R. Ahmed

IEEE Robotics Autom. Lett., 2019

Multi-modal active perception for information gathering in science missions.

Akash Arora, P. Michael Furlong, Robert Fitch, Salah Sukkarieh, Terrence Fong

Auton. Robots, 2019

Belief Space Planning for Reducing Terrain Relative Localization Uncertainty in Noisy Elevation Maps.

Eugene Fang, P. Michael Furlong, William Whittaker

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Foraging, Prospecting, and Falsification - Improving Three Aspects of Autonomous Science.

P. Michael Furlong

PhD thesis, 2018

Failure is Not an Option: Policy Learning for Adaptive Recovery in Space Operations.

Steve McGuire, P. Michael Furlong, Christoffer Heckman, Simon Julier, Daniel Szafir, Nisar R. Ahmed

IEEE Robotics Autom. Lett., 2018

2017

Online Multi-modal Learning and Adaptive Informative Trajectory Planning for Autonomous Exploration.

Akash Arora, P. Michael Furlong, Robert Fitch, Terry Fong, Salah Sukkarieh, Richard Elphic

Proceedings of the Field and Service Robotics, 2017

Adaptive Sample Selection for Hypothesis Falsification.

P. Michael Furlong

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Safeguarding a lunar rover with Wald's sequential probability ratio test.

P. Michael Furlong, Michael Dille, Uland Y. Wong, Ara Nefian

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Spatio-Spectral Exploration Combining In Situ and Remote Measurements.

David Ray Thompson, David Wettergreen, Greydon T. Foil, P. Michael Furlong, Anatha Ravi Kiran

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Dissociable contributions of ventromedial prefrontal and posterior parietal cortex to value-guided choice.

Gerhard Jocham, P. Michael Furlong, Inga L. Kröger, Martin C. Kahn, Laurence T. Hunt, Tim E. J. Behrens

NeuroImage, 2014

Science Autonomy for Rover Subsurface Exploration of the Atacama Desert.

David Wettergreen, Greydon T. Foil, P. Michael Furlong, David R. Thompson

AI Mag., 2014

Sequential allocation of sampling budgets in unknown environments.

P. Michael Furlong, David Wettergreen

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013

Adaptive sensing of time series with application to remote exploration.

David R. Thompson, Nathalie Cabrol, P. Michael Furlong, Craig Hardgrove, Kian Hsiang Low, Jeffrey Moersch, David Wettergreen

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Multi-armed recommendation bandits for selecting state machine policies for robotic systems.

Pyry Matikainen, P. Michael Furlong, Rahul Sukthankar, Martial Hebert

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2009

Model Predictive Control for Mobile Robots with Actively Reconfigurable Chassis.

P. Michael Furlong, Thomas M. Howard, David Wettergreen

Proceedings of the Field and Service Robotics, Results of the 7th International Conference, 2009