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258 results on '"Harkin, Jim"'

1. Artificial Neural Microcircuits as Building Blocks: Concept and Challenges

Author

Walter, Andrew, Wu, Shimeng, Tyrrell, Andy M., McDaid, Liam, McElholm, Malachy, Sumithran, Nidhin Thandassery, Harkin, Jim, and Trefzer, Martin A.

Subjects
Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Artificial Neural Networks (ANNs) are one of the most widely employed forms of bio-inspired computation. However the current trend is for ANNs to be structurally homogeneous. Furthermore, this structural homogeneity requires the application of complex training and learning tools that produce application specific ANNs, susceptible to pitfalls such as overfitting. In this paper, an new approach is explored, inspired by the role played in biology by Neural Microcircuits, the so called ``fundamental processing elements'' of organic nervous systems. How large neural networks, particularly Spiking Neural Networks (SNNs) can be assembled using Artificial Neural Microcircuits (ANMs), intended as off-the-shelf components, is articulated; the results of initial work to produce a catalogue of such Microcircuits though the use of Novelty Search is shown; followed by efforts to expand upon this initial work, including a discussion of challenges uncovered during these efforts and explorations of methods by which they might be overcome., Comment: 12 pages, 31 figures, 3 tables, submitted to A-Life Journal for review

Published
2024

5. Autonomous Learning Paradigm for Spiking Neural Networks

Author

Liu, Junxiu, McDaid, Liam J., Harkin, Jim, Karim, Shvan, Johnson, Anju P., Halliday, David M., Tyrrell, Andy M., Timmis, Jon, Millard, Alan G., Hilder, James, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Tetko, Igor V., editor, Kůrková, Věra, editor, Karpov, Pavel, editor, and Theis, Fabian, editor

Published
2019
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6. Hardware/Software Co-Design for Spike Based Recognition

Author

Ghani, Arfan, McGinnity, Martin, Maguire, Liam, and Harkin, Jim

Subjects
Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence, Computer Science - Computational Engineering, Finance, and Science, C.1.3
Abstract

The practical applications based on recurrent spiking neurons are limited due to their non-trivial learning algorithms. The temporal nature of spiking neurons is more favorable for hardware implementation where signals can be represented in binary form and communication can be done through the use of spikes. This work investigates the potential of recurrent spiking neurons implementations on reconfigurable platforms and their applicability in temporal based applications. A theoretical framework of reservoir computing is investigated for hardware/software implementation. In this framework, only readout neurons are trained which overcomes the burden of training at the network level. These recurrent neural networks are termed as microcircuits which are viewed as basic computational units in cortical computation. This paper investigates the potential of recurrent neural reservoirs and presents a novel hardware/software strategy for their implementation on FPGAs. The design is implemented and the functionality is tested in the context of speech recognition application., Comment: 6 pages

Published
2008

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

Author

Liu, Junxiu, McDaid, Liam J., Harkin, Jim, Wade, John J., Karim, Shvan, Johnson, Anju P., Millard, Alan G., Halliday, David M., Tyrrell, Andy M., Timmis, Jon, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Liu, Derong, editor, Xie, Shengli, editor, Li, Yuanqing, editor, Zhao, Dongbin, editor, and El-Alfy, El-Sayed M., editor

Published
2017
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8. An Extended Algorithm Using Adaptation of Momentum and Learning Rate for Spiking Neurons Emitting Multiple Spikes

Author

Luo, Yuling, Fu, Qiang, Liu, Junxiu, Harkin, Jim, McDaid, Liam, Cao, Yi, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Rojas, Ignacio, editor, Joya, Gonzalo, editor, and Catala, Andreu, editor

Published
2017
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9. Hierarchical Networks-on-Chip Interconnect for Astrocyte-Neuron Network Hardware

Author

Liu, Junxiu, Harkin, Jim, McDaid, Liam, Martin, George, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Villa, Alessandro E.P., editor, Masulli, Paolo, editor, and Pons Rivero, Antonio Javier, editor

Published
2016
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11. Autonomous Learning Paradigm for Spiking Neural Networks

Author

Liu, Junxiu, primary, McDaid, Liam J., additional, Harkin, Jim, additional, Karim, Shvan, additional, Johnson, Anju P., additional, Halliday, David M., additional, Tyrrell, Andy M., additional, Timmis, Jon, additional, Millard, Alan G., additional, and Hilder, James, additional

Published
2019
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13. Fine-Grained Fault-Tolerant Adaptive Routing for Networks-on-Chip

Author

Liu, Junxiu, Harkin, Jim, Maguire, Liam, Li, Yuhua, Wan, Lei, Luo, Yuling, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Wang, Guojun, editor, Zomaya, Albert, editor, Martinez, Gregorio, editor, and Li, Kenli, editor

Published
2015
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14. Bio-Inspired Hybrid Framework for Multi-view Face Detection

Author

McCarroll, Niall, Belatreche, Ammar, Harkin, Jim, Li, Yuhua, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Arik, Sabri, editor, Huang, Tingwen, editor, Lai, Weng Kin, editor, and Liu, Qingshan, editor

Published
2015
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16. LIPSFUS: A neuromorphic dataset for audio-visual sensory fusion of lip reading

Author

Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores, Universidad de Sevilla. TEP108: Robótica y Tecnología de Computadores, Ríos Navarro, José Antonio, Piñero Fuentes, Enrique, Canas Moreno, Salvador, Javed, A., Harkin, Jim, Linares Barranco, Alejandro, Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores, Universidad de Sevilla. TEP108: Robótica y Tecnología de Computadores, Ríos Navarro, José Antonio, Piñero Fuentes, Enrique, Canas Moreno, Salvador, Javed, A., Harkin, Jim, and Linares Barranco, Alejandro

Abstract

This paper presents a sensory fusion neuromorphic dataset collected with precise temporal synchronization using a set of Address-Event-Representation sensors and tools. The target application is the lip reading of several keywords for different machine learning applications, such as digits, robotic commands, and auxiliary rich phonetic short words. The dataset is enlarged with a spiking version of an audio-visual lip reading dataset collected with frame-based cameras. LIPSFUS is publicly available and it has been validated with a deep learning architecture for audio and visual classification. It is intended for sensory fusion architectures based on both artificial and spiking neural network algorithms.

Published
2023

23. Adaptive Routing Strategies for Large Scale Spiking Neural Network Hardware Implementations

Author

Carrillo, Snaider, Harkin, Jim, McDaid, Liam, Pande, Sandeep, Cawley, Seamus, Morgan, Fearghal, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Honkela, Timo, editor, Duch, Włodzisław, editor, Girolami, Mark, editor, and Kaski, Samuel, editor

Published
2011
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24. An Efficient, High-Throughput Adaptive NoC Router for Large Scale Spiking Neural Network Hardware Implementations

Author

Carrillo, Snaider, Harkin, Jim, McDaid, Liam, Pande, Sandeep, Morgan, Fearghal, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Tempesti, Gianluca, editor, Tyrrell, Andy M., editor, and Miller, Julian F., editor

Published
2010
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26. A Hardware Accelerated Simulation Environment for Spiking Neural Networks

Author

Glackin, Brendan, Harkin, Jim, McGinnity, Thomas M., Maguire, Liam P., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Becker, Jürgen, editor, Woods, Roger, editor, Athanas, Peter, editor, and Morgan, Fearghal, editor

Published
2009
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27. Neuro-inspired Speech Recognition with Recurrent Spiking Neurons

Author

Ghani, Arfan, McGinnity, T. Martin, Maguire, Liam P., Harkin, Jim, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Kůrková, Véra, editor, Neruda, Roman, editor, and Koutník, Jan, editor

Published
2008
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28. Investigating the Suitability of FPAAs for Evolved Hardware Spiking Neural Networks

Author

Rocke, Patrick, McGinley, Brian, Maher, John, Morgan, Fearghal, Harkin, Jim, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Hornby, Gregory S., editor, Sekanina, Lukáš, editor, and Haddow, Pauline C., editor

Published
2008
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33. Image-based computer modeling assessment of microwave ablation for treatment of adrenal tumors

Author

Sebek, Jan, primary, Cappiello, Grazia, additional, Rahmani, George, additional, Zeinali, Nooshin, additional, Keating, Muireann, additional, Fayemiwo, Michael, additional, Harkin, Jim, additional, McDaid, Liam, additional, Gardiner, Bryan, additional, Sheppard, Declan, additional, Senanayake, Russell, additional, Gurnell, Mark, additional, O’Halloran, Martin, additional, Dennedy, M. Conall, additional, and Prakash, Punit, additional

Published
2022
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43. Immuno-informatics analysis predicts B and T cell consensus epitopes for designing peptide vaccine against SARS-CoV-2 with 99.82% global population coverage

Author

Shukla, Priyank, primary, Pandey, Preeti, additional, Prasad, Bodhayan, additional, Robinson, Tony, additional, Purohit, Rituraj, additional, D’Cruz, Leon G, additional, Tambuwala, Murtaza M, additional, Mutreja, Ankur, additional, Harkin, Jim, additional, Rai, Taranjit Singh, additional, Murray, Elaine K, additional, Gibson, David S, additional, and Bjourson, Anthony J, additional

Published
2021
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50. Intelligent user support in autonomous remote experimentation environments

Author

Callaghan, Michael J., Harkin, Jim, McGinnity, Thomas Martin, and Maguire, Liam P.

Subjects
Industrial management -- Study and teaching, Distance education -- Methods, School environment -- Technology application, Technology application, Business, Computers, Electronics, Electronics and electrical industries
Abstract

Industrial manufacturing systems and processes-related courses cover subject areas that are as diverse as electrical and product engineering and industrial automation. The proliferation of Web-based distance education courses in this area in recent years poses unique challenges for the teaching of a discipline that traditionally involves a high level of practical work. Increasingly, Web-based distance education courses are on offer, augmented by the provision of remote experimentation laboratories facilitating distant access to campus-based physical resources. The design and implementation of effective and usable remote experimentation facilities is a difficult task, given the inherent complexities of the learning environment and the constraints imposed by a Web-based delivery medium. Developments in recent years have addressed many of these issues as this constant innovation has necessitated educational institutions and other training providers to continually reassess the content and delivery of engineering curricula in the context of this developing field. However, autonomous learning environments, by their very nature, offer minimal educator assistance, and from a student's perspective, it is inevitable that, at some stage of the experimental process, context-specific help will be required. This paper seeks to address this issue in relation to the practical aspect of Web-based engineering-related courses and presents an intelligent help system to support students in the practical use of autonomous learning environments for remote experimentation. Index Terms--Autonomous learning environments, industrial manufacturing systems, remote experimentation.

Published
2008

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