physics

Ido Kanter

Ido Kanter is a physics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Ido Kanter rather than just read about it. In short: Ido Kanter (born 21 November 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.

Key takeaways

Ido Kanter belongs to physics; place it in that map before memorising details.
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Reproduce the core statement of Ido Kanter from memory before moving on to harder problems.

Reference excerpt

Ido Kanter (born 21 November 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 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 Haim Sompolinsky. 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.

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.

Main contributions Using a combination of theoretical and experimental methods, Kanter has made contributions to various fields ranging from statistical physics and communication to neural cryptography and neuroscience. These include work on a field of statistical physics known as the inverse problem, bridging between Shannon theory and the second thermodynamic law, presenting a cryptographic key exchange protocol based on neural networks, and creating an ultrafast non-deterministic random bit generator (RBG). Kanter is currently focusing on the field of experimental and theoretical neuroscience, Kanter studies a variety of topics including the new neuron, dendritic learning, neural interfaces, and machine learning.

Selected publications 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. 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

External links Faculty website Ido Kanter Lab

Illustrations

Worked examples

Example 1 — a first encounter with Ido Kanter

Start with the simplest possible case. Write down what Ido Kanter claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In physics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Ido Kanter before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Ido Kanter ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Ido Kanter

In research: Ido Kanter appears in physics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Ido Kanter in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Ido Kanter is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1959 births, Academic staff of Bar-Ilan University, Israeli physicists, so understanding it makes those chapters shorter.
In everyday life: Look for Ido Kanter outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Ido Kanter in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Ido Kanter means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Ido Kanter out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Ido Kanter in simple terms?

Why does Ido Kanter matter?

Because it connects several physics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Ido Kanter?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Ido Kanter.