Ido Kanter

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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]

  • Gross, D. J.; Kanter, I.; Sompolinsky, H. (1985). "Mean-field theory of the Potts glass". Physical Review Letters. 55 (3): 304–307. doi:10.1103/PhysRevLett.55.304.
  • Sompolinsky, H.; Kanter, I. (1986). "Temporal Association in Asymmetric Neural Networks". Physical Review Letters. 57 (22): 2861–2864. Bibcode:1986PhRvL..57.2861S. doi:10.1103/PhysRevLett.57.2861. PMID 10033885.
  • Kanter, I.; Sompolinsky, H. (1987). "Associative recall of memory without errors". Physical Review A. 35 (1): 380–392. Bibcode:1987PhRvA..35..380K. doi:10.1103/PhysRevA.35.380. PMID 9897963.
  • Kanter, Ido (1988). "Potts-glass models of neural networks". Physical Review A. 37 (7): 2739–2742. doi:10.1103/PhysRevA.37.2739.
  • Kanter, I; Kinzel, W; Kanter, E (2002). "Secure exchange of information by synchronization of neural networks". Europhysics Letters (EPL). 57 (1): 141–147. arXiv:cond-mat/0202112. doi:10.1209/epl/i2002-00552-9.
  • Reidler, I.; Aviad, Y.; Rosenbluh, M.; Kanter, I. (2009). "Ultrahigh-Speed Random Number Generation Based on a Chaotic Semiconductor Laser". Physical Review Letters. 103 (2): 024102. Bibcode:2009PhRvL.103b4102R. doi:10.1103/PhysRevLett.103.024102. PMID 19659208.
  • 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.

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]

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