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==Main contributions==
==Main contributions==
[[File:New brain learning.webm|thumb|Dendritic learning as an alternative to synaptic plasticity (with audio)|thumbtime=0|289x289px]]Using a combination of theoretical and experimental methods<ref>{{cite web | url=https://kanterlabsite.wixsite.com/idokanter/about-me | title=About Me }}</ref>, Kanter has made contributions to various fields ranging from statistical physics and communication to neural cryptography and neuroscience<ref>{{cite web | url=https://physics.biu.ac.il/en/node/578 | title=Kanter Ido &#124; Department of Physics }}</ref>. These include work on a field of statistical physics known as the inverse problem<ref>Kanter, I. & Gotesdyner, R. Do classical spin systems with the same metastable states have identical Hamiltonians? Physical review letters 72, 2678 (1994).</ref>, bridging between Shannon theory and the second thermodynamic law<ref>Shental, O. &amp;
[[File:New brain learning.webm|thumb|Dendritic learning as an alternative to synaptic plasticity (with audio)|thumbtime=0|289x289px]]Using a combination of theoretical and experimental methods<ref>{{cite web | url=https://kanterlabsite.wixsite.com/idokanter/about-me | title=About Me }}</ref>, Kanter has made contributions to various fields ranging from statistical physics and communication to neural cryptography and neuroscience<ref>{{cite web | url=https://physics.biu.ac.il/en/node/578 | title=Kanter Ido &#124; Department of Physics }}</ref>. These include work on a field of statistical physics known as the inverse problem,<ref>{{cite journal | last=Kanter | first=I. | last2=Gotesdyner | first2=R. | title=Do classical spin systems with the same metastable states have identical Hamiltonians? | journal=Physical Review Letters | volume=72 | issue=17 | date=1994 | doi=10.1103/PhysRevLett.72.2678 | pages=2678–2681}}</ref> bridging between Shannon theory and the second thermodynamic law,<ref>{{cite journal | last=Shental | first=O. | last2=Kanter | first2=I. | title=Shannon meets Carnot: Generalized second thermodynamic law | journal=EPL (Europhysics Letters) | volume=85 | issue=1 | date=2009 | doi=10.1209/0295-5075/85/10006 | page=10006}}</ref> presenting a cryptographic key exchange protocol based on neural networks,<ref>{{cite journal | last=Kanter | first=Ido | last2=Kopelowitz | first2=Evi | last3=Kinzel | first3=Wolfgang | title=Public Channel Cryptography: Chaos Synchronization and Hilbert’s Tenth Problem | journal=Physical Review Letters | volume=101 | issue=8 | date=2008 | doi=10.1103/PhysRevLett.101.084102}}</ref> and creating an ultrafast non-deterministic random bit generator (RBG).<ref>{{cite journal | last1=Kanter | first1=Ido | last2=Aviad | first2=Yaara | last3=Reidler | first3=Igor | last4=Cohen | first4=Elad | last5=Rosenbluh | first5=Michael | title=An optical ultrafast random bit generator | journal=Nature Photonics | volume=4 | issue=1 | date=2010 | doi=10.1038/nphoton.2009.235 | pages=58–61| bibcode=2010NaPho...4...58K }}</ref>

Kanter, I. Shannon meets Carnot: Generalized second thermodynamic law.
Kanter is currently focusing on the field of experimental and theoretical neuroscience, Kanter studies a variety of topics including the new neuron,<ref>{{cite journal | last=Sardi | first=Shira | last2=Vardi | first2=Roni | last3=Sheinin | first3=Anton | last4=Goldental | first4=Amir | last5=Kanter | first5=Ido | title=New Types of Experiments Reveal that a Neuron Functions as Multiple Independent Threshold Units | journal=Scientific Reports | publisher=Springer Science and Business Media LLC | volume=7 | issue=1 | date=2017 | doi=10.1038/s41598-017-18363-1}}</ref> dendritic learning,<ref>{{cite journal | last=Sardi | first=Shira | last2=Vardi | first2=Roni | last3=Goldental | first3=Amir | last4=Tugendhaft | first4=Yael | last5=Uzan | first5=Herut | last6=Kanter | first6=Ido | title=Dendritic Learning as a Paradigm Shift in Brain Learning | journal=ACS Chemical Neuroscience | volume=9 | issue=6 | date=2018 | doi=10.1021/acschemneuro.8b00204 | pages=1230–1232}}</ref> neural interfaces, and machine learning.<ref>{{cite web | url=https://gondabrain.biu.ac.il/en/node/317 | title=Reverberating Modes in Neural Networks &#124; the Gonda Multidisciplinary Brain Research Center }}</ref>
Europhysics Letters 85, 10006 (2009).</ref>, presenting a cryptographic key exchange protocol based on neural networks<ref>Kanter, I., Kopelowitz, E. & Kinzel, W. Public channel cryptography: chaos synchronization and Hilbert’s tenth problem. Phys Rev Lett 101, 084102 (2008).</ref>, and creating an ultrafast non-deterministic random bit generator (RBG)<ref>Kanter, I., Aviad, Y., Reidler, I., Cohen, E. & Rosenbluh, M. An optical ultrafast random bit generator. Nature Photonics 4, 58-61 (2010).</ref>.
Kanter is currently focusing on the field of experimental and theoretical neuroscience, Kanter studies a variety of topics including the new neuron<ref>Sardi, S., Vardi, R., Sheinin, A., Goldental, A. &amp; Kanter, I. New Types of
Experiments Reveal that a Neuron Functions as Multiple Independent Threshold
Units. Scientific reports 7, 18036 (2017)</ref>, dendritic learning<ref>Sardi, S. et al.
Dendritic learning as a paradigm shift in brain learning. ACS chemical neuroscience 9,
1230-1232 (2018).</ref>, neural interfaces, and machine learning<ref>{{cite web | url=https://gondabrain.biu.ac.il/en/node/317 | title=Reverberating Modes in Neural Networks &#124; the Gonda Multidisciplinary Brain Research Center }}</ref>.


==Selected publications==
==Selected publications==
Line 119: Line 114:
* {{cite journal | last1=Reidler | first1=I. | last2=Aviad | first2=Y. | last3=Rosenbluh | first3=M. | last4=Kanter | first4=I. | title=Ultrahigh-Speed Random Number Generation Based on a Chaotic Semiconductor Laser | journal=Physical Review Letters | volume=103 | issue=2 | date=2009 | page=024102 | doi=10.1103/PhysRevLett.103.024102| pmid=19659208 | bibcode=2009PhRvL.103b4102R }}
* {{cite journal | last1=Reidler | first1=I. | last2=Aviad | first2=Y. | last3=Rosenbluh | first3=M. | last4=Kanter | first4=I. | title=Ultrahigh-Speed Random Number Generation Based on a Chaotic Semiconductor Laser | journal=Physical Review Letters | volume=103 | issue=2 | date=2009 | page=024102 | doi=10.1103/PhysRevLett.103.024102| pmid=19659208 | bibcode=2009PhRvL.103b4102R }}
* {{cite journal | last1=Kanter | first1=Ido | last2=Aviad | first2=Yaara | last3=Reidler | first3=Igor | last4=Cohen | first4=Elad | last5=Rosenbluh | first5=Michael | title=An optical ultrafast random bit generator | journal=Nature Photonics | volume=4 | issue=1 | date=2010 | doi=10.1038/nphoton.2009.235 | pages=58–61| bibcode=2010NaPho...4...58K }}
* {{cite journal | last1=Kanter | first1=Ido | last2=Aviad | first2=Yaara | last3=Reidler | first3=Igor | last4=Cohen | first4=Elad | last5=Rosenbluh | first5=Michael | title=An optical ultrafast random bit generator | journal=Nature Photonics | volume=4 | issue=1 | date=2010 | doi=10.1038/nphoton.2009.235 | pages=58–61| bibcode=2010NaPho...4...58K }}
* Kanter, I. & Gotesdyner, R. Do classical spin systems with the same metastable states have identical Hamiltonians? Physical review letters 72, 2678 (1994).
* Shental, O. & Kanter, I. Shannon meets Carnot: Generalized second thermodynamic law. Europhysics Letters 85, 10006 (2009).
* Nixon, M. et al. Synchronized cluster formation in coupled laser networks. Physical review letters 106, 223901 (2011).
* Kanter, I., Kopelowitz, E. & Kinzel, W. Public channel cryptography: chaos synchronization and Hilbert’s tenth problem. Phys Rev Lett 101, 084102 (2008).
* Sardi, S. et al. Dendritic learning as a paradigm shift in brain learning. ACS chemical neuroscience 9, 1230-1232 (2018).


==References==
==References==

Revision as of 20:12, 26 April 2024

  • Comment: Unfortunately this article is written almost completely ignoring Wikipedia standards, and many prior declinations. It contains overlong descriptions of his work which read like a CV. There are far too many claims which are bragging, WP:PUFFERY. Looking deeper, with a Google Scholar h-factor of 51 and no major awards he does not pass the notability bar, WP:NPROF. Plus there are large parts of his career which are unsourced.
    If you want to try again treat this as a serious research problem. Read other pages. Remove the claims and masses of less useful information; I estimate 1/4 the current size. Add awards (if they exist). Ldm1954 (talk) 12:45, 4 March 2024 (UTC)
  • Comment: The coverage of Ido Kanter is about the research and does not demonstrate significant notability about them. Needs references specifically about Kanter and not using the authors own papers for references to show notability. At the moment appears to be a bit of a CV. KeepItGoingForward (talk) 18:03, 1 November 2023 (UTC)
  • Comment: "Follow your dreams"??? OLI 09:23, 2 September 2023 (UTC)
Professor
Ido Kanter
Professor Ido Kanter
Born (1959-11-21) November 21, 1959 (age 64)
Israel
Alma materBar-Ilan University
Awards
Weizmann Postdoctoral Fellowship (1988-1989)

Humboldt Senior Research Prize (2001)

Scientific career
Fields
  • Theory of neural networks
  • Physical random number generators
  • Neuroscience in-vitro
  • Deep learning
  • Synchronization of neurons and lasers
  • Neural cryptography
InstitutionsPostdoc: Princeton University, with P. W. Anderson
Doctoral advisorHaim Sompolinsky

Ido Kanter (born: 21 Nov. 1959) is an Israeli professor of physics at and the head of the Lab for Reverberating Modes in Neural Networks at the Gonda Brain Research Center at Bar-Ilan University. He specializes in models of disorder magnetic systems, physical random number generators, theory of neural networks, deep learning and synchronization among neurons and lasers.

Early life and education

Kanter was born and raised in Rehovot, Israel and served in the Israeli Defense Force from 1978 to 1981.[1]

He attended Bar-Ilan University and gradutated with a bachelor's degree in physics and computer science in 1983. In 1987, he received his Ph.D. from Bar-Ilan University. His thesis was Theory of Spin Glasses and its Applications to Complex Problems in Mathematics and Biology, under the supervision of Professor Haim Sompolinsky.[1]

He was a visiting research fellow at Princeton University from 1988 to 1989, working with Phil W. Anderson. He was also a visiting research fellow at AT&T Bell Labs, with Yann le Cun, then 1989 joined the faculty at Bar-Ilan University in 1989.[1]

Research

Ido Kanter specializes in models of disorder magnetic systems, ultrafast physical random number generators, theory of neural networks, neural cryptography, deep learning and synchronization among neurons and lasers and experimental and theoretical neuroscience, documented in more than 220 publications.[2]

Main contributions

Dendritic learning as an alternative to synaptic plasticity (with audio)

Using a combination of theoretical and experimental methods[3], Kanter has made contributions to various fields ranging from statistical physics and communication to neural cryptography and neuroscience[4]. These include work on a field of statistical physics known as the inverse problem,[5] bridging between Shannon theory and the second thermodynamic law,[6] presenting a cryptographic key exchange protocol based on neural networks,[7] and creating an ultrafast non-deterministic random bit generator (RBG).[8]

Kanter is currently focusing on the field of experimental and theoretical neuroscience, Kanter studies a variety of topics including the new neuron,[9] dendritic learning,[10] neural interfaces, and machine learning.[11]

Selected publications

References

  1. ^ a b c "About me". Kanter Lab. Download Main Contributions. Retrieved 25 April 2024.
  2. ^ Ido Kanter's Google Scholar profile
  3. ^ "About Me".
  4. ^ "Kanter Ido | Department of Physics".
  5. ^ Kanter, I.; Gotesdyner, R. (1994). "Do classical spin systems with the same metastable states have identical Hamiltonians?". Physical Review Letters. 72 (17): 2678–2681. doi:10.1103/PhysRevLett.72.2678.
  6. ^ Shental, O.; Kanter, I. (2009). "Shannon meets Carnot: Generalized second thermodynamic law". EPL (Europhysics Letters). 85 (1): 10006. doi:10.1209/0295-5075/85/10006.
  7. ^ Kanter, Ido; Kopelowitz, Evi; Kinzel, Wolfgang (2008). "Public Channel Cryptography: Chaos Synchronization and Hilbert's Tenth Problem". Physical Review Letters. 101 (8). doi:10.1103/PhysRevLett.101.084102.
  8. ^ Kanter, Ido; Aviad, Yaara; Reidler, Igor; Cohen, Elad; Rosenbluh, Michael (2010). "An optical ultrafast random bit generator". Nature Photonics. 4 (1): 58–61. Bibcode:2010NaPho...4...58K. doi:10.1038/nphoton.2009.235.
  9. ^ Sardi, Shira; Vardi, Roni; Sheinin, Anton; Goldental, Amir; Kanter, Ido (2017). "New Types of Experiments Reveal that a Neuron Functions as Multiple Independent Threshold Units". Scientific Reports. 7 (1). Springer Science and Business Media LLC. doi:10.1038/s41598-017-18363-1.
  10. ^ Sardi, Shira; Vardi, Roni; Goldental, Amir; Tugendhaft, Yael; Uzan, Herut; Kanter, Ido (2018). "Dendritic Learning as a Paradigm Shift in Brain Learning". ACS Chemical Neuroscience. 9 (6): 1230–1232. doi:10.1021/acschemneuro.8b00204.
  11. ^ "Reverberating Modes in Neural Networks | the Gonda Multidisciplinary Brain Research Center".

External links

source: https://en.wikipedia.org/w/index.php?title=Ido_Kanter&diff=prev&oldid=1220931646

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