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Fingerprint Dive into the research topics where Garrett Katz is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Robots Engineering & Materials Science
Cystoviridae Medicine & Life Sciences
bacteriophages Physics & Astronomy
Fluorescence spectroscopy Engineering & Materials Science
tryptophan Physics & Astronomy
Consciousness Medicine & Life Sciences
Bacteriophages Medicine & Life Sciences
fluorescence Physics & Astronomy

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Projects 2018 2021

Research Output 2011 2019

  • 74 Citations
  • 5 h-Index
  • 12 Article
  • 10 Conference contribution

A programmable neural virtual machine based on a fast store-erase learning rule

Katz, G., Davis, G. P., Gentili, R. J. & Reggia, J. A., Nov 1 2019, In : Neural Networks. 119, p. 10-30 21 p.

Research output: Contribution to journalArticle

Learning
Computer Systems
Computer architecture
Language
Plasticity

Encoding of a Chaotic Attractor in a Reservoir Computer: A Directional Fiber Investigation

Krishnagopal, S., Katz, G., Girvan, M. & Reggia, J., Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8851853. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fibers
Learning systems
Time series
1 Citation (Scopus)

Learning in a Continuous-Valued Attractor Network

Sosis, B., Katz, G. & Reggia, J., Jan 15 2019, Proceedings - 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018. Wani, M. A., Sayed-Mouchaweh, M., Lughofer, E., Gama, J. & Kantardzic, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 278-284 7 p. 8614073. (Proceedings - 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data storage equipment
Associative storage
Attractor
Neural networks
Experiments
1 Citation (Scopus)

A novel parsimonious cause-effect reasoning algorithm for robot imitation and plan recognition

Katz, G., Huang, D. W., Hauge, T., Gentili, R. & Reggia, J., Jun 1 2018, In : IEEE Transactions on Cognitive and Developmental Systems. 10, 2, p. 177-193 17 p.

Research output: Contribution to journalArticle

Robots
Robot programming
Learning systems
Robotics
Experiments

Autonomous Causally-Driven Explanation of Actions

Katz, G., Dullnig, D., Davis, G. P., Gentili, R. J. & Reggia, J. A., Dec 4 2018, Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017. Tinetti, F. G., Tran, Q-N., Deligiannidis, L., Yang, M. Q., Yang, M. Q. & Arabnia, H. R. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 772-778 7 p. 8560892

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Planning