John J. Wade

According to our database, John J. Wade authored at least 27 papers between 2008 and 2024.

Collaborative distances:

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

2024

Mathematical Modeling of PI3K/Akt Pathway in Microglia.

Alireza Poshtkohi, John J. Wade, Liam McDaid, Junxiu Liu, Mark Dallas, Angela Bithell

Neural Comput., April, 2024

2021

Mathematical modelling of human P2X-mediated plasma membrane electrophysiology and calcium dynamics in microglia.

Alireza Poshtkohi, John J. Wade, Liam McDaid, Junxiu Liu, Mark Dallas, Angela Bithell

PLoS Comput. Biol., 2021

2020

Computational Study of Astroglial Calcium Homeostasis in a Semi-isolated Synaptic Cleft.

Marinus Toman, John Joseph Wade, Liam McDaid, Jim Harkin

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018

SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture.

Junxiu Liu, Jim Harkin, Liam P. Maguire, Liam McDaid, John J. Wade

IEEE Trans. Neural Networks Learn. Syst., 2018

A computational study of astrocytic glutamate influence on post-synaptic neuronal excitability.

Bronac Flanagan, Liam McDaid, John J. Wade, KongFatt Wong-Lin, Jim Harkin

PLoS Comput. Biol., 2018

Potassium and sodium microdomains in thin astroglial processes: A computational model study.

Kevin Breslin, John Joseph Wade, KongFatt Wong-Lin, Jim Harkin, Bronac Flanagan, Harm Van Zalinge, Steve Hall, Matthew C. Walker, Alexei Verkhratsky, Liam McDaid

PLoS Comput. Biol., 2018

On-chip communication for neuro-glia networks.

George Martin, Jim Harkin, L. J. McDaid, John J. Wade, Junxiu Liu

IET Comput. Digit. Tech., 2018

2017

Self-repairing Learning Rule for Spiking Astrocyte-Neuron Networks.

Junxiu Liu, Liam McDaid, Jim Harkin, John J. Wade, Shvan Karim, Anju P. Johnson, Alan G. Millard, David M. Halliday, Andy M. Tyrrell, Jon Timmis

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Scalable Networks-on-Chip Interconnected Architecture for Astrocyte-Neuron Networks.

Junxiu Liu, Jim Harkin, Liam P. Maguire, Liam McDaid, John J. Wade, George Martin

IEEE Trans. Circuits Syst. I Regul. Pap., 2016

Astrocyte to spiking neuron communication using Networks-on-Chip ring topology.

George Martin, Jim Harkin, Liam McDaid, John J. Wade, Junxiu Liu, Fearghal Morgan

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Self-repairing hardware with astrocyte-neuron networks.

Junxiu Liu, Jim Harkin, Liam P. Maguire, Liam McDaid, John J. Wade, Malachy McElholm

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

2015

On the Role of Astroglial Syncytia in Self-Repairing Spiking Neural Networks.

Muhammad Naeem, Liam McDaid, Jim Harkin, John J. Wade, John Marsland

IEEE Trans. Neural Networks Learn. Syst., 2015

Si elegans: Hardware architecture and communications protocol.

Pedro Machado, Kofi Appiah, T. Martin McGinnity, John J. Wade

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Si elegans - Computational Modelling of C. elegans Nematode Nervous System using FPGAs.

Pedro Machado, John J. Wade, T. Martin McGinnity

Proceedings of the 2nd International Congress on Neurotechnology, 2014

Exploring Neural Principles with Si elegans, a Neuromimetic Representation of the Nematode Caenorhabditis elegans.

Axel W. Blau, Frank Callaly, Seamus Cawley, Aedan Coffey, Alessandro De Mauro, Gorka Epelde, Lorenzo Ferrara, Finn Krewer, Carlo Liberale, Pedro Machado, Gregory Maclair, Thomas Martin McGinnity, Fearghal Morgan, Andoni Mujika, Alexey Petrushin, Gautier Robin, John J. Wade

Proceedings of the 2nd International Congress on Neurotechnology, 2014

Si elegans: FPGA hardware emulation of C. elegans nematode nervous system.

Pedro Machado, John J. Wade, T. Martin McGinnity

Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

The Si elegans Project - The Challenges and Prospects of Emulating Caenorhabditis elegans.

Axel W. Blau, Frank Callaly, Seamus Cawley, Aedan Coffey, Alessandro De Mauro, Gorka Epelde, Lorenzo Ferrara, Finn Krewer, Carlo Liberale, Pedro Machado, Gregory Maclair, Thomas Martin McGinnity, Fearghal Morgan, Andoni Mujika, Alessandro Petrushin, Gautier Robin, John J. Wade

Proceedings of the Biomimetic and Biohybrid Systems - Third International Conference, 2014

2013

Biophysically based computational models of astrocyte ~ neuron coupling and their functional significance.

John J. Wade, Liam McDaid, Jim Harkin, Vincenzo Crunelli, J. A. Scott Kelso

Frontiers Comput. Neurosci., 2013

2012

Synchrony: A spiking-based mechanism for processing sensory stimuli.

Cornelius Glackin, Liam P. Maguire, Liam McDaid, John J. Wade

Neural Networks, 2012

Self-repair in a Bidirectionally Coupled Astrocyte-Neuron (AN) System based on Retrograde Signaling.

John J. Wade, Liam McDaid, Jim Harkin, Vincenzo Crunelli, J. A. Scott Kelso

Frontiers Comput. Neurosci., 2012

2011

Exploring retrograde signaling via astrocytes as a mechanism for self repair.

John J. Wade, Liam McDaid, Jim Harkin, Vincenzo Crunelli, J. A. Scott Kelso, Valeriu Beiu

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Lateral inhibitory networks: Synchrony, edge enhancement, and noise reduction.

Cornelius Glackin, Liam P. Maguire, Liam McDaid, John J. Wade

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

A Biologically Inspired Training Algorithm for Spiking Neural Networks.

John J. Wade

PhD thesis, 2010

SWAT: A Spiking Neural Network Training Algorithm for Classification Problems.

John J. Wade, L. J. McDaid, Jose A. Santos, Heather M. Sayers

IEEE Trans. Neural Networks, 2010

Problem solving techniques in cognitive science.

Joan Condell, John J. Wade, Leo Galway, Michael McBride, Padhraig Gormley, Joseph Brennan, Thiyagesan Somasundram

Artif. Intell. Rev., 2010

2009

Online Remote Control of a Wireless Home Automation Network.

John J. Wade, Jose Santos, Noel Evans

Int. J. Ambient Comput. Intell., 2009

2008

SWAT: An unsupervised SNN training algorithm for classification problems.

John J. Wade, Liam McDaid, Jose A. Santos, Heather M. Sayers

Proceedings of the International Joint Conference on Neural Networks, 2008