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Bioinformatics (Oxford, England)
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May 26, 2021
Hardware acceleration of genomics data analysis: challenges and opportunities
Tony Robinson, Jim Harkin, Priyank Shukla
Frontiers in Computational Neuroscience
|
May 16, 2013
Biophysically based computational models of astrocyte ~ neuron coupling and their functional significance
John Wade, Liam McDaid, Jim Harkin, et al.
Frontiers in Computational Neuroscience
|
October 12, 2012
Self-repair in a bidirectionally coupled astrocyte-neuron (AN) system based on retrograde signaling
John Wade, Liam McDaid, Jim Harkin, et al.
Plos Computational Biology
|
April 17, 2018
A computational study of astrocytic glutamate influence on post-synaptic neuronal excitability
Bronac Flanagan, Liam McDaid, John Wade, et al.
Journal of Imaging Informatics in Medicine
|
March 4, 2025
A Novel Pipeline for Adrenal Gland Segmentation: Integration of a Hybrid Post-Processing Technique with Deep Learning
Michael Fayemiwo, Bryan Gardiner, Jim Harkin, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
January 11, 2015
On the role of astroglial syncytia in self-repairing spiking neural networks
Muhammad Naeem, Liam J McDaid, Jim Harkin, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
March 14, 2017
SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture
Junxiu Liu, Jim Harkin, Liam P Maguire, et al.
Frontiers in Cellular Neuroscience
|
July 29, 2021
A Computational Study of Astrocytic GABA Release at the Glutamatergic Synapse: EAAT-2 and GAT-3 Coupled Dynamics
Bronac Flanagan, Liam McDaid, John Joseph Wade, et al.
Plos One
|
January 14, 2012
Bidirectional coupling between astrocytes and neurons mediates learning and dynamic coordination in the brain: a multiple modeling approach
John J Wade, Liam J McDaid, Jim Harkin, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
May 8, 2012
Advancing interconnect density for spiking neural network hardware implementations using traffic-aware adaptive network-on-chip routers
Snaider Carrillo, Jim Harkin, Liam McDaid, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 19) with videos related to
Sort By:
Page
of 2
Bioinformatics (Oxford, England)
|
May 26, 2021
Hardware acceleration of genomics data analysis: challenges and opportunities
Tony Robinson, Jim Harkin, Priyank Shukla
Frontiers in Computational Neuroscience
|
May 16, 2013
Biophysically based computational models of astrocyte ~ neuron coupling and their functional significance
John Wade, Liam McDaid, Jim Harkin, et al.
Frontiers in Computational Neuroscience
|
October 12, 2012
Self-repair in a bidirectionally coupled astrocyte-neuron (AN) system based on retrograde signaling
John Wade, Liam McDaid, Jim Harkin, et al.
Plos Computational Biology
|
April 17, 2018
A computational study of astrocytic glutamate influence on post-synaptic neuronal excitability
Bronac Flanagan, Liam McDaid, John Wade, et al.
Journal of Imaging Informatics in Medicine
|
March 4, 2025
A Novel Pipeline for Adrenal Gland Segmentation: Integration of a Hybrid Post-Processing Technique with Deep Learning
Michael Fayemiwo, Bryan Gardiner, Jim Harkin, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
January 11, 2015
On the role of astroglial syncytia in self-repairing spiking neural networks
Muhammad Naeem, Liam J McDaid, Jim Harkin, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
March 14, 2017
SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture
Junxiu Liu, Jim Harkin, Liam P Maguire, et al.
Frontiers in Cellular Neuroscience
|
July 29, 2021
A Computational Study of Astrocytic GABA Release at the Glutamatergic Synapse: EAAT-2 and GAT-3 Coupled Dynamics
Bronac Flanagan, Liam McDaid, John Joseph Wade, et al.
Plos One
|
January 14, 2012
Bidirectional coupling between astrocytes and neurons mediates learning and dynamic coordination in the brain: a multiple modeling approach
John J Wade, Liam J McDaid, Jim Harkin, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
May 8, 2012
Advancing interconnect density for spiking neural network hardware implementations using traffic-aware adaptive network-on-chip routers
Snaider Carrillo, Jim Harkin, Liam McDaid, et al.
Page
of 2