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Professor Ioannis Kontoyiannis | Department of Pure Mathematics and…
https://www.dpmms.cam.ac.uk/person/ik35530 Jun 2024: Professor Ioannis Kontoyiannis. Professor Kontoyiannis works in information theory, applied probability, and statistics, including their applications in neuroscience, bioinformatics, and the development of machine learning algorithms. -
Po-Ling Loh
https://www.dpmms.cam.ac.uk/~pll28/pubs.html6 Oct 2022: Frontiers in Neuroscience 12: 861, 2018. P. Loh and X. Tan. -
Ioannis Kontoyiannis was born in Athens, Greece, in 1972
https://www.dpmms.cam.ac.uk/~ik355/ShortBio.htm26 May 2023: His research interests include information theory, applied probability, and statistics, along with their applications in neuroscience, bioinformatics, and the development of machine learning algorithms. -
Po-Ling Loh ContactInformation Statistical Laboratory Phone: +44…
https://www.dpmms.cam.ac.uk/~pll28/cv.pdf3 Oct 2023: Frontiers in Neuroscience 12: 861. 4. Pydi, M., Jog, V., and Loh, P. -
Estimating the Entropy Rate of Spike Trains Yun GaoDiv. ...
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/spikes-CISS.pdf5 Jun 2020: Dept. of Neuroscience. Brown University, Providence, RI 02912elie@dam.brown.edu. 1 Introduction. ... of Neuroscience,19(18):8083–8093, 1999. [5] L. Paninski. Estimation of entropy and mutual infor-mation. -
MI.dvi
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/MI.pdf5 Jun 2020: The concept and the term synergy as defined here areborrowed from the neuroscience literature; see, e.g., [8]. ... II Berry. Synergy, redundancy,and independence in population codes. Journal of Neuroscience,23(37):11539–11553, 2003. -
Lempel-Ziv and CTW entropy estimators forspike trains Yun GaoDiv. ...
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/lznips.pdf2 Apr 2023: Dept. of Neuroscience. Brown University, Providence, RI 02912elie@dam.brown.edu. Abstract. We consider two entropy estimators based on the Lempel-Ziv data com-pression algorithm, and we study their theoretical ... 1 Introduction. Information-theoretic -
Curriculum Vitae Ioannis KontoyiannisChurchill Professor of…
https://www.dpmms.cam.ac.uk/~ik355/cv.pdf17 May 2024: BROWN UNIVERSITY Sept. 2002 – July 2007Visiting Research Associate, Department of Neuroscience. -
nits-NL_0312.indd
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/NLMarch12.pdf5 Jun 2020: fields that are not so close to communication theory, for instance biol-ogy, as a prominent example, or neuroscience. ... The near simultaneous appearance of special issues on “Information Theory in neuroscience” in our Transactions and in the -
Estimating the Entropy of Binary Time Series: Methodology, Some…
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/ent-estJ.pdf5 Jun 2020: and Department of Neuroscience, Brown University, Providence,RI 02912, USAE-Mails: YGao@knight.com; yiannis@aueb.gr; elie@dam.brown.edu? ... Information-theoretic methods have been particularly widely used in neuroscience, in a broad effort toanalyze and -
ent-est.dvi
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/ent-est.pdf5 Jun 2020: yiannis@aueb.gr‡Division of Applied Mathematics and Department of Neuroscience, Brown University, Providence, RI. ... Motivated, in part, by applications in neuroscience, wealso introduce a new method, the renewal entropy estimator. -
neuro.dvi
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/neuro.pdf5 Jun 2020: J. of Neuroscience, 19(18):8083–8093,1999. [7] I. Nemenman, W. Bialek and R. -
1 Estimation of the Rate-Distortion Function Matthew T. Harrison, ...
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/pluginRDjournal.pdf5 Jun 2020: Hisresearch interests include lossy source coding, sta-tistical methods for neuroscience and statistical ap-proaches to computer vision. -
Approximating a Diffusion by a Finite-State Hidden Markov Model ...
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/HMM.pdf5 Jun 2020: Approximating a Diffusion. by a Finite-State Hidden Markov Model. I. Kontoyiannis S.P. Meyn†. November 28, 2016. Abstract. For a wide class of continuous-time Markov processes evolving on an open, connectedsubset of Rd, the following are shown to
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