• Northlands Road, Magee Campus

    BT48 7JL Londonderry

    United Kingdom

  • 2869 Citations
  • 27 h-Index
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Fingerprint Dive into the research topics where Martin Mc Ginnity is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 9 Similar Profiles
Neural networks Engineering & Materials Science
Brain computer interface Engineering & Materials Science
Robots Engineering & Materials Science
Neurons Engineering & Materials Science
Fuzzy neural networks Engineering & Materials Science
Electroencephalography Engineering & Materials Science
Robotics Engineering & Materials Science
Field programmable gate arrays (FPGA) Engineering & Materials Science

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Research Output 1999 2019

Feature Extraction and Classification using Leading Eigenvectors: Applications in Biomedical and Multi-Modal mHealth Data

McGinnity, T. M. & Cosma, G., 10 Jul 2019, (Accepted/In press) In : IEEE Access. 7, 1, p. 17400-107412 13 p., Access-2019-23455.

Research output: Contribution to journalArticle

Eigenvalues and eigenfunctions
Feature extraction

Optimization of output spike train encoding for a spiking neuron based on its spatiotemporal input pattern

McGinnity, T. M., Cosma, G. & Takerkhani, A., 29 Mar 2019, (Accepted/In press) In : IEEE Transactions on Cognitive and Developmental Systems. TCDS-2018-0127.R2.

Research output: Contribution to journalArticle

Open Access
Learning algorithms

Reliable robotic handovers through tactile sensing

Gomez, A., Rano, I., Coleman, S. & McGinnity, T. M., 15 Oct 2019, In : Autonomous Robots. 43, 7, p. 1623-1637 15 p.

Research output: Contribution to journalArticle

End effectors
Open Access
Hearing Loss
Auditory Pathways
Signal Transduction

A neuro-inspired visual tracking method based on programmable system-on-chip platform

Yang, S., Wong-Lin, K., Andrew, J., Mak, T. & McGinnity, TM., Nov 2018, In : Neural Computing and Applications. 30, 9, p. 2697-2708

Research output: Contribution to journalArticle

Open Access
Image processing
Computer vision
Electric power utilization
Neural networks