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Colloque Interfaces

What’s Common Among Statistical Physics, Consciousness, Artificial Intelligence, and Atrial Fibrillation?

"Interfaces", Aquitaine scientific symposium for digital sciences. This serie of talks will host several times a year, scientists from entire world, recognized for the quality of their work and the results they produce. Topics will treat about computer sciences and applied mathematics but mostly about their intersections with others sciences and fields. Medicine, Social sciences and humanities, art, etc. are such topics that are addressed.

  • Date : 5/04/2018
  • Place : Centre de Recherche Inria - Bordeaux - Sud-Ouest, room Ada Lovelace at 1:30pm
  • Guest(s) : Hiroshi Ashikaga
  • Organiser(s) : Inria - Bordeaux - Sud-Ouest

For its next edition, Interfaces •  Aquitaine scientific symposium for digital sciences , welcomes :

Hiroshi Ashikaga

Assistant Professor of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA

Attending Physician, Cardiac Arrhythmia Service, Johns Hopkins Hospital, Baltimore, Maryland, USA

The talk will be held in English.  

Atrial fibrillation (AF) is a powerful risk factor of stroke, dementia, myocardial infarction, and death.The objective of our research is to elucidate the fundamental mechanisms of AF and to exploit that knowledge to develop and evaluate novel interventional therapies. Our research specializes in multidisciplinary approaches to studying AF at the intersection of applied mathematics, statistical physics and computer science. I will discuss an overview of recent projects in our laboratory.

Dr. Ashikaga received an M.D. and a Ph.D. degrees from the University of Tokyo, Japan.

He completed his cardiology and cardiac electrophysiology training at the Johns Hopkins Hospital.

He received his scientific training at the University of California, San Diego, the National Institutes of Health, and the Santa Fe Institute.

References:

  1. Ashikaga H, Aguilar-Rodríguez J, Gorsky S, Lusczek E, Marquitti FM, Thompson B, Wu D, Garland J. Modeling the heart as a communication system. J R Soc Interface. 2015;12:20141201.
  2. "" lang="EN-US">Ashikaga H"" lang="EN-US">, James RG. Hidden structures of information transport underlying spiral wave dynamics. Chaos. 2017;27:013106.
  3. Tao S, Way S, Garland J, Chrispin J, Ciuffo, LA, Balouch MA, Nazarian S, Spragg DD, Marine J, Berger RD, Calkins H,Ashikaga H. Ablation as targeted perturbation to rewire communication networks of persistent atrial fibrillation. PLoS One. 2017;12:e0179459.
  4. Ashikaga H, Asgari-Targhi A. Locating order-disorder phase transition in a cardiac system. Sci Rep. 2018;8:1967.
  5. "" lang="EN-US">Ashikaga H"" lang="EN-US">, James RG. Inter-scale information flow as a surrogate for downward causation that maintains spiral waves. arXiv preprint 1711.10126, 2017. https://arxiv.org/abs/1711.10126
  6. Ashikaga H, Prieto-Castrillo F, Kawakatsu M, Dehghani N. Causal unit of rotors in a cardiac system. arXiv preprint 1712.02203, 2017. https://arxiv.org/abs/1712.02203

Keywords: Fibrillation cardiaque Intelligence artificial Intelligence

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