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Ido Kanter

Researcher at Bar-Ilan University

Publications -  251
Citations -  7192

Ido Kanter is an academic researcher from Bar-Ilan University. The author has contributed to research in topics: Artificial neural network & Synchronization (computer science). The author has an hindex of 45, co-authored 242 publications receiving 6632 citations. Previous affiliations of Ido Kanter include The Racah Institute of Physics & Princeton University.

Papers
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Temporal association in asymmetric neural networks.

TL;DR: A neural network model which is capable of recalling time sequences and cycles of patterns is introduced and may be also useful in understanding the generation of rhythmic patterns in biological motor systems.
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An optical ultrafast random bit generator

TL;DR: The generation of random bit sequences at a data rate of up to 300 Gbit s−1 — a rate many orders of magnitude faster than previously achieved — is realized by exploiting the output of a chaotic semiconductor laser.
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Ultrahigh-speed random number generation based on a chaotic semiconductor laser.

TL;DR: The fluctuating intensity of a chaotic semiconductor laser is used for generating random sequences at rates up to 12.5 Gbits/s and the overall rate of generation is much faster than any previously reported random number generator based on a physical mechanism.
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Associative recall of memory without errors

TL;DR: A neural network which is capable of recalling without errors any set of linearly independent patterns is studied, and the spurious states of the network are studied in detail in the case of random uncorrelated patterns.
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Mean-field theory of the Potts glass.

TL;DR: Randomly interacting p-state Potts spins may freeze into a Potts-glass phase in which the Potts symmetry is unbroken, on the average, and the mean-field theory of this phase transition is presented.