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{{COI|date=September 2023}}
{{COI|date=September 2023}}


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| citizenship = [[Israel]] <!-- use only when necessary per [[WP:INFONAT]] -->
| nationality = [[Israelis|Israeli]] <!-- use only when necessary per [[WP:INFONAT]] -->
| fields = {{plainlist|*Theory of neural networks
| fields = {{plainlist|*Theory of neural networks
*Physical random number generators
*Physical random number generators
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'''Ido Kanter''' (born: 21 Nov. 1959) is an Israeli professor of [[physics]] 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]], documented in more than 200 publications.
'''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]].
[[File:Ido Kanter Experimental setup.jpg|thumb|left|303px]]
[[File:Ido Kanter Experimental setup.jpg|thumb|left|303px]]


==Early life and education==
<br>
⚫
Kanter was born and raised in [[Rehovot]], [[Israel]] and served in the [[Israeli Defense Force]] from 1978 to 1981. He graduated from [[Bar-Ilan University]] 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]].
<br>


⚫
Kanter joined [[Phil W. Anderson]]'s group at Princeton University as a visiting research fellow (1988-1989). He was also a visiting research fellow at AT&T Bell Labs, collaborating with [[Yann LeCun|Yann le Cun]] (1989). In 1989 Kanter joined the faculty at Bar-Ilan University.
==Education==
⚫
Kanter graduated from [[Bar-Ilan University]] with a bachelor's degree in [[physics]] and [[computer science]] in 1983. In 1987, he received his direct [[Ph.D.]] from Bar-Ilan University with his [[thesis]], “Theory of Spin Glasses and its Applications to Complex Problems in Mathematics and Biology,” under the supervision of Professor [[Haim Sompolinsky]].


⚫
==Research==
⚫
After completing his Ph.D., Kanter joined Professor [[Phil W. Anderson|Phil W. Anderson’s]] group at Princeton University as a visiting research fellow (1988-1989). He was also a visiting research fellow at AT&T Bell Labs, collaborating with [[Yann LeCun|Yann le Cun]] (1989). In 1989, Kanter became a senior lecturer at Bar-Ilan University. He became an associate professor in 1991 and a full professor in 1996.

==Personal Life==
Ido Kanter was born and raised in [[Rehovot]], [[Israel]] and served in the [[Israeli Defense Force]] from 1978 to 1981.
⚫
==Research Interests==
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.<ref>[https://scholar.google.com/citations?user=0MdAUb0AAAAJ&hl=en Ido Kanter's Google Scholar profile]</ref>
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.<ref>[https://scholar.google.com/citations?user=0MdAUb0AAAAJ&hl=en Ido Kanter's Google Scholar profile]</ref>


==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>https://kanterlabsite.wixsite.com/idokanter/about-me</ref>, Kanter has made several major contributions to a wide range of fields ranging from statistical physics and communication to neural cryptography and neuroscience<ref>https://physics.biu.ac.il/en/node/578</ref>. These include pioneering a new 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>https://kanterlabsite.wixsite.com/idokanter/about-me</ref>, Kanter has made several major contributions to a wide range of fields ranging from statistical physics and communication to neural cryptography and neuroscience<ref>https://physics.biu.ac.il/en/node/578</ref>. These include pioneering a new 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;
Kanter, I. Shannon meets Carnot: Generalized second thermodynamic law.
Kanter, I. Shannon meets Carnot: Generalized second thermodynamic law.
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Dendritic learning as a paradigm shift in brain learning. ACS chemical neuroscience 9,
Dendritic learning as a paradigm shift in brain learning. ACS chemical neuroscience 9,
1230-1232 (2018).</ref>, neural interfaces, and machine learning<ref>https://gondabrain.biu.ac.il/en/node/317</ref>.
1230-1232 (2018).</ref>, neural interfaces, and machine learning<ref>https://gondabrain.biu.ac.il/en/node/317</ref>.

==Selected Publications==
==Selected publications==
* Reidler, I., Aviad, Y., Rosenbluh, M. & Kanter, I. Ultrahigh-speed random number generation based on a chaotic semiconductor laser. Physical review letters 103, 024102 (2009).
* Reidler, I., Aviad, Y., Rosenbluh, M. & Kanter, I. Ultrahigh-speed random number generation based on a chaotic semiconductor laser. Physical review letters 103, 024102 (2009).
* Kanter, I., Aviad, Y., Reidler, I., Cohen, E. & Rosenbluh, M. An optical ultrafast random bit generator. Nature Photonics 4, 58-61 (2010).
* Kanter, I., Aviad, Y., Reidler, I., Cohen, E. & Rosenbluh, M. An optical ultrafast random bit generator. Nature Photonics 4, 58-61 (2010).
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==References==
==References==
{{Reflist|30em}}
{{Reflist}}

==External links==
* [https://physics.biu.ac.il/en/node/578 Faculty website]
* [https://kanterlabsite.wixsite.com/idokanter Ido Kanter Lab]

Revision as of 20:08, 25 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. He graduated from Bar-Ilan University 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.

Kanter joined Phil W. Anderson's group at Princeton University as a visiting research fellow (1988-1989). He was also a visiting research fellow at AT&T Bell Labs, collaborating with Yann le Cun (1989). In 1989 Kanter joined the faculty at Bar-Ilan University.

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.[1]

Main contributions

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

Using a combination of theoretical and experimental methods[2], Kanter has made several major contributions to a wide range of fields ranging from statistical physics and communication to neural cryptography and neuroscience[3]. These include pioneering a new field of statistical physics known as the inverse problem[4], bridging between Shannon theory and the second thermodynamic law[5], presenting a cryptographic key exchange protocol based on neural networks[6], and creating an ultrafast non-deterministic random bit generator (RBG)[7].

Kanter is currently focusing on the field of experimental and theoretical neuroscience, Kanter studies a variety of topics including the new neuron[8], dendritic learning[9], neural interfaces, and machine learning[10].

Selected publications

  • Reidler, I., Aviad, Y., Rosenbluh, M. & Kanter, I. Ultrahigh-speed random number generation based on a chaotic semiconductor laser. Physical review letters 103, 024102 (2009).
  • Kanter, I., Aviad, Y., Reidler, I., Cohen, E. & Rosenbluh, M. An optical ultrafast random bit generator. Nature Photonics 4, 58-61 (2010).
  • 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

  1. ^ Ido Kanter's Google Scholar profile
  2. ^ https://kanterlabsite.wixsite.com/idokanter/about-me
  3. ^ https://physics.biu.ac.il/en/node/578
  4. ^ Kanter, I. & Gotesdyner, R. Do classical spin systems with the same metastable states have identical Hamiltonians? Physical review letters 72, 2678 (1994).
  5. ^ Shental, O. & Kanter, I. Shannon meets Carnot: Generalized second thermodynamic law. Europhysics Letters 85, 10006 (2009).
  6. ^ Kanter, I., Kopelowitz, E. & Kinzel, W. Public channel cryptography: chaos synchronization and Hilbert’s tenth problem. Phys Rev Lett 101, 084102 (2008).
  7. ^ Kanter, I., Aviad, Y., Reidler, I., Cohen, E. & Rosenbluh, M. An optical ultrafast random bit generator. Nature Photonics 4, 58-61 (2010).
  8. ^ Sardi, S., Vardi, R., Sheinin, A., Goldental, A. & Kanter, I. New Types of Experiments Reveal that a Neuron Functions as Multiple Independent Threshold Units. Scientific reports 7, 18036 (2017)
  9. ^ Sardi, S. et al. Dendritic learning as a paradigm shift in brain learning. ACS chemical neuroscience 9, 1230-1232 (2018).
  10. ^ https://gondabrain.biu.ac.il/en/node/317

External links

source: https://en.wikipedia.org/w/index.php?title=Ido_Kanter&diff=prev&oldid=1220767900

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