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{{Short description|Israeli physicist}}
{{AFC submission|d|v|u=OffekM|ns=118|decliner=KylieTastic|declinets=20240424201816|ts=20240424193006}} <!-- Do not remove this line! -->
{{AFC submission|d|npov|u=OffekM|ns=118|decliner=Shadow311|declinets=20240424191745|small=yes|ts=20240424120322}} <!-- Do not remove this line! -->
{{AFC submission|d|prof|u=OffekM|ns=118|decliner=Ldm1954|declinets=20240304124536|reason2=npov|small=yes|ts=20240301124007}} <!-- Do not remove this line! -->
{{AFC submission|d|adv|u=OffekM|ns=118|decliner=KeepItGoingForward|declinets=20231101180312|reason2=bio|small=yes|ts=20230927113618}} <!-- Do not remove this line! -->
{{AFC submission|d|bio|u=OffekM|ns=118|decliner=Notcharizard|declinets=20230921105422|small=yes|ts=20230921075004}} <!-- Do not remove this line! -->
{{AFC submission|d|reason|Almost no change to the article since the previous decline. The sections on his research are not appropriate for an encyclopedia article - don't explain stuff that we already have articles about like neurons. Don't analyze the papers yourself and draw conclusions about the importance of the research. You need an outside source to say that. Just say what he did.|u=OffekM|ns=118|decliner=StarryGrandma|declinets=20230918220936|small=yes|ts=20230903050605}} <!-- Do not remove this line! -->
{{AFC submission|d|npov|u=OffekM|ns=118|decliner=OlifanofmrTennant|declinets=20230902092343|small=yes|ts=20230826114822}} <!-- Do not remove this line! -->

{{AFC comment|1=Please see the guideline on [[WP:EL|External Links]]. [[User:Shadow311|Shadow311]] ([[User talk:Shadow311|talk]]) 19:17, 24 April 2024 (UTC)}}

{{AFC comment|1=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). [[User:Ldm1954|Ldm1954]] ([[User talk:Ldm1954|talk]]) 12:45, 4 March 2024 (UTC)}}

{{AFC comment|1=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. [[User:KeepItGoingForward|KeepItGoingForward]] ([[User talk:KeepItGoingForward|talk]]) 18:03, 1 November 2023 (UTC)}}

{{AFC comment|1=Every single reference except the scienmag.com one is a [[WP:PST|primary source]]. [[user:Notcharizard|<span style="color:#70A67A">-- NotC</span><span style="color:#396340">hariza</span><span style="color:#0D2311">rd</span>]] <sup>[[User talk:Notcharizard|<span style="color:#0D2311">🗨</span>]]</sup> 10:54, 21 September 2023 (UTC)}}

{{AFC comment|1="Follow your dreams"??? [[User:OlifanofmrTennant|OLI]] 09:23, 2 September 2023 (UTC)}}

{{AFC comment|1="Follow your dreams"???? [[User:Theroadislong|Theroadislong]] ([[User talk:Theroadislong|talk]]) 12:51, 26 August 2023 (UTC)}}

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{{Short description|Israeli Physicist}}
{{Draft topics|biography|computing|physics}}
{{AfC topic|blp}}

{{COI|date=September 2023}}

{{Infobox scientist
{{Infobox scientist
| honorific_prefix = Professor
| honorific_prefix = Professor
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| siglum =
| pronounce =
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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|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.<ref name="About me - contributions"/>
<br>


⚫
He attended [[Bar-Ilan University]] and graduated 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]].<ref name="About me - contributions">{{cite web |title=About me |url=https://kanterlabsite.wixsite.com/idokanter/about-me |publisher=Kanter Lab |at=Download Main Contributions |access-date=25 April 2024}}</ref>
==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]].


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.
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 LeCun|Yann le Cun]], then 1989 joined the physics department at Bar-Ilan University in 1989.<ref name="About me - contributions"/>
⚫
==Research==

==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
[[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| arxiv=0806.3763 }}</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| arxiv=0806.0931 }}</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>

between Shannon theory and the second thermodynamic law<ref>Shental, O. &amp;
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| pmc=5740076 }}</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>
Kanter, I. Shannon meets Carnot: Generalized second thermodynamic law.

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>.
⚫
==Selected publications==
Currently focusing on the field of experimental and
* {{cite journal | last=Gross | first=D. J. | last2=Kanter | first2=I. | last3=Sompolinsky | first3=H. | title=Mean-field theory of the Potts glass | journal=Physical Review Letters | volume=55 | issue=3 | date=1985 | doi=10.1103/PhysRevLett.55.304 | pages=304–307}}
theoretical neuroscience, Kanter studies a variety of topics including the new
* {{cite journal | last1=Sompolinsky | first1=H. | last2=Kanter | first2=I. | title=Temporal Association in Asymmetric Neural Networks | journal=Physical Review Letters | volume=57 | issue=22 | date=1986| doi=10.1103/PhysRevLett.57.2861 | pages=2861–2864| pmid=10033885 | bibcode=1986PhRvL..57.2861S }}
neuron<ref>Sardi, S., Vardi, R., Sheinin, A., Goldental, A. &amp; Kanter, I. New Types of
* {{cite journal | last1=Kanter | first1=I. | last2=Sompolinsky | first2=H. | title=Associative recall of memory without errors | journal=Physical Review A | volume=35 | issue=1 | date=1987| doi=10.1103/PhysRevA.35.380 | pages=380–392| pmid=9897963 | bibcode=1987PhRvA..35..380K }}
Experiments Reveal that a Neuron Functions as Multiple Independent Threshold
* {{cite journal | last=Kanter | first=Ido | title=Potts-glass models of neural networks | journal=Physical Review A | volume=37 | issue=7 | date=1988 | doi=10.1103/PhysRevA.37.2739 | pages=2739–2742}}
Units. Scientific reports 7, 18036 (2017)</ref>, dendritic learning<ref>Sardi, S. et al.
* {{cite journal | last=Kanter | first=I | last2=Kinzel | first2=W | last3=Kanter | first3=E | title=Secure exchange of information by synchronization of neural networks | journal=Europhysics Letters (EPL) | volume=57 | issue=1 | date=2002 | doi=10.1209/epl/i2002-00552-9 | pages=141–147| arxiv=cond-mat/0202112 }}
Dendritic learning as a paradigm shift in brain learning. ACS chemical neuroscience 9,
* {{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 }}
1230-1232 (2018).</ref>, neural interfaces, and machine learning<ref>https://gondabrain.biu.ac.il/en/node/317</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 }}
⚫
==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==
==References==
{{Reflist|30em}}
{{Reflist}}

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

{{DEFAULTSORT:Kanter, Ido}}
[[Category:1959 births]]
[[Category:Living people]]

Latest revision as of 06:48, 29 April 2024

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[edit]

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 graduated 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 physics department at Bar-Ilan University in 1989.[1]

Research[edit]

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[edit]

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[edit]

References[edit]

  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. arXiv:0806.3763. 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). arXiv:0806.0931. 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. PMC 5740076.
  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[edit]

source: https://en.wikipedia.org/w/index.php?title=Ido_Kanter&diff=1221322179&oldid=1220682975

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