I. Kanter

发表

Parallel versus sequential updating for belief propagation decoding

H. Kfir, I. Kanter, 2002, cond-mat/0207185.

Graph optimisation problems and the Potts glass

H. Sompolinsky, I. Kanter, 1987 .

Error-correcting codes that nearly saturate Shannon's bound

D. Saad, I. Kanter, 1999, cond-mat/9906011.

Storage Capacity of a Multilayer Neural Network with Binary Weights

I. Kanter, E. Barkai, 1991 .

Zero-lag synchronization and multiple time delays in two coupled chaotic systems.

Wolfgang Kinzel, Ido Kanter, Maria Butkovski, 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

Sublattice synchronization of chaotic networks with delayed couplings.

Wolfgang Kinzel, Ido Kanter, Johannes Kestler, 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

Synchronization with mismatched synaptic delays: A unique role of elastic neuronal latency

Ido Kanter, Shimon Marom, Moshe Abeles, 2012, 1209.2562.

Fast physical random-number generation based on room-temperature chaotic oscillations in weakly coupled superlattices.

I. Kanter, Wen Li, I. Reidler, 2013, Physical review letters.

Noisy time series generation by feed-forward networks

I. Kanter, A. Priel, D. Kessler, 1998, cond-mat/9803267.

Strong and weak chaos in nonlinear networks with time-delayed couplings.

W. Kinzel, I. Kanter, E. Schöll, 2011, Physical review letters.

Book Review: Statistical Mechanics of Learning. By A. Engel and C. Van den Broeck, Cambridge University Press

I. Kanter, 2001 .

Generalization and capacity of extensively large two-layered perceptrons.

A. Engel, I. Kanter, M. Rosen-Zvi, 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

Second Order Properties of Error Surfaces: Learning Time and Generalization

Yann LeCun, S. Solla, I. Kanter, 1990, NIPS 1990.

An optical ultrafast random bit generator

I. Kanter, I. Reidler, Y. Aviad, 2010 .

Synchronization of mutually versus unidirectionally coupled chaotic semiconductor lasers

Wolfgang Kinzel, Ido Kanter, Noam Gross, 2006, nlin/0604068.

Coupled lasers: phase versus chaos synchronization.

I Kanter, A A Friesem, I Reidler, 2013, Optics letters.

Synchronization in Small Networks of Time-delay Coupled Chaotic Diode Lasers References and Links

A. E. Motter, J. Danckaert, I. Kanter, 2022 .

Zero lag synchronization of chaotic systems with time delayed couplings.

I Kanter, I Reidler, Y Aviad, 2010, Physical review letters.

Mutual coupling and synchronization of optically coupled quantum-dot micropillar lasers at ultra-low light levels

Christian Schneider, Ido Kanter, Sven Höfling, 2018, Nature Communications.

Quantum dot — Microlasers with external feedback — A chaotic system close to the quantum limit

W. Kinzel, I. Kanter, M. Kamp, 2012 .

Observing chaos for quantum-dot microlasers with external feedback.

Wolfgang Kinzel, Ido Kanter, Alfred Forchel, 2011, Nature communications.

Coexistence of exponentially many chaotic spin-glass attractors.

W. Kinzel, I. Kanter, M. Zigzag, 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

Broadband macroscopic cortical oscillations emerge from intrinsic neuronal response failures

Ido Kanter, Shira Sardi, Roni Vardi, 2015, Front. Neural Circuits.

Identifying Universal Laws of Text Translation

H. Kfir, I. Kanter, Miriam Shlesinger, 2005 .

Efficient dendritic learning as an alternative to synaptic plasticity hypothesis

I. Kanter, R. Vardi, A. Goldental, 2022, Scientific Reports.

Error correction and fast detectors implemented by ultrafast neuronal plasticity.

Ido Kanter, Roni Vardi, Hagar Marmari, 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

Mutual learning in a tree parity machine and its application to cryptography.

Wolfgang Kinzel, Einat Klein, Ido Kanter, 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

Training a perceptron in a discrete weight space.

I Kanter, M Rosen-Zvi, I. Kanter, 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

Chaotic and non-chaotic phases in experimental responses of a single neuron

I. Kanter, R. Vardi, Hagar Marmari, 2014, 1404.5838.

Second Order Properties of Error Surfaces

Yann LeCun, Ido Kanter, Sara A. Solla, 1990, NIPS.

Nonlocal Mechanism for Synchronization of Time Delay Networks

W. Kinzel, I. Kanter, D. Cohen, 2011 .

Synchronization of chaotic networks with time-delayed couplings: an analytic study.

I Kanter, W Kinzel, A Englert, 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

Less Might Be More: Conduction Failure as a Factor Possibly Limiting the Efficacy of Higher Frequencies in rTMS Protocols

I. Kanter, W. Paulus, Y. Shirota, 2018, Front. Neurosci..

Neural cryptography with queries

W. Kinzel, I. Kanter, Andreas Ruttor, 2004, cond-mat/0411374.

Storage properties of correlated perceptrons

A. Engel, I. Kanter, D. Malzahn, 1998 .

Shannon Meets Carnot: Mutual Information Via Thermodynamics pdf

Ido Kanter, Ori Shental, I. Kanter, 2008, ArXiv.

Possible sets of autocorrelations and the Simplex algorithm

H. Kfir, I. Kanter, Shahar Keren, 2006 .

Can quantization improve error performance in CDMA

I. Kanter, O. Shental, H. Efraim, 2008 .

Dual-Transceiver Quantization Can Improve Error Performance in CDMA

I. Kanter, O. Shental, H. Efraim, 2008, 2008 IEEE 10th International Symposium on Spread Spectrum Techniques and Applications.

Wave Propagation in Finite Rods of Viscoelastic Material

En-Jui Lee, I. Kanter, 1953 .

Transient to zero-lag synchronization in excitable networks

W. Kinzel, I. Kanter, Y. Peleg, 2012, 1210.2901.

Controlling synchronization in large laser networks.

I. Kanter, A. Friesem, N. Davidson, 2011, Physical review letters.

Secure exchange of information by synchronization of neural networks

W. Kinzel, I. Kanter, E. Kanter, 2002, cond-mat/0202112.

Noisy time series generation by feed-forward networks

I. Kanter, A. Priel, D. Kessler, 1998, cond-mat/9803267.

On time's arrow in Ehrenfest models with reversible deterministic dynamics

W. Kinzel, I. Kanter, R. Metzler, 2000, cond-mat/0007382.

Training a perceptron by a bit sequence: storage capacity

W. Kinzel, I. Kanter, M. Schroeder, 1996, cond-mat/9607040.

Generation of unpredictable time series by a neural network.

W. Kinzel, L. Ein-Dor, I. Kanter, 2000, Physical review. E, Statistical, nonlinear, and soft matter physics.

An Efficient MN-Algorithm for Joint Source-Channel Coding

H. Kfir, I. Kanter, Eyal Shpilman, 2004, cond-mat/0412572.

Training a perceptron in a discrete weight space.

I. Kanter, M. Rosen-Zvi, 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

Finite-size effects and error-free communication in Gaussian channels

D. Saad, I. Kanter, 1999, cond-mat/9907424.

Error-correcting codes that nearly saturate Shannon's bound

D. Saad, I. Kanter, 1999, cond-mat/9906011.

Utilizing hidden Markov processes as a tool for experimental physics

I. Kanter, A. Frydman, Asaf Ater, 2004, cond-mat/0402546.

Brain inspired neuronal silencing mechanism to enable reliable sequence identification

I. Kanter, R. Vardi, A. Goldental, 2022, Scientific Reports.

Public-channel cryptography using chaos synchronization.

W. Kinzel, I. Kanter, Einat Klein, 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

Low autocorrelated multiphase sequences.

W. Kinzel, L. Ein-Dor, I. Kanter, 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

Learning on tree architectures outperforms a convolutional feedforward network

I. Kanter, Shiri Hodassman, Yuval Meir, 2022, 2211.11378.

Efficient shallow learning as an alternative to deep learning

I. Kanter, Shiri Hodassman, Yuval Meir, 2022, Scientific reports.

An efficient joint source-channel coding for a D-dimensional array

H. Kfir, I. Kanter, Shahar Keren, 2003, cond-mat/0308308.

Parallel versus sequential updating for belief propagation decoding

H. Kfir, I. Kanter, Ido Kanter, 2002, cond-mat/0207185.

Supervised Hebbian learning

A. Barra, E. Agliari, I. Kanter, 2022, Europhysics Letters.

Public channel cryptography by synchronization of neural networks and chaotic maps.

W. Kinzel, I. Kanter, Einat Klein, 2003, Physical review letters.

Learning and predicting time series by neural networks.

W. Kinzel, I. Kanter, A. Freking, 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

Phase transition in crowd synchrony of delay-coupled multilayer laser networks.

I. Kanter, M. Rosenbluh, E. Cohen, 2012, Optics express.

New Types of Experiments Reveal that a Neuron Functions as Multiple Independent Threshold Units

Ido Kanter, Shira Sardi, Roni Vardi, 2017, Scientific Reports.

Cryptography based on neural networks—analytical results

W. Kinzel, I. Kanter, M. Rosen-Zvi, 2002, cond-mat/0202350.

Computational capability of classical and quantum spin systems

I. Kanter, E. Eisenstein, 1993 .

A computational paradigm for dynamic logic-gates in neuronal activity

Ido Kanter, Roni Vardi, Amir Goldental, 2014, Front. Comput. Neurosci..

Stationary log-normal distribution of weights stems from spontaneous ordering in adaptive node networks

I. Kanter, R. Vardi, A. Goldental, 2018, Scientific Reports.

Adaptive nodes enrich nonlinear cooperative learning beyond traditional adaptation by links

I. Kanter, R. Vardi, A. Sheinin, 2018, Scientific Reports.

Neuronal response impedance mechanism implementing cooperative networks with low firing rates and μs precision

Ido Kanter, Shira Sardi, Roni Vardi, 2014, Front. Neural Circuits.

Synchronization among neuronal pools without common inputs: in vivo study

Ido Kanter, Edward Stern, Moshe Abeles, 2014, Brain Structure and Function.

Synchronization of random bit generators based on coupled chaotic lasers and application to cryptography.

Wolfgang Kinzel, Ido Kanter, Yitzhak Peleg, 2010, Optics express.

Analytical Study of the Interplay between Architecture and Predictability

Ido Kanter, David A. Kessler, Avner Priel, 1997, NIPS.

Taylor series expansions for the entropy rate of Hidden Markov Processes

Eytan Domany, Ido Kanter, Or Zuk, 2005, 2006 IEEE International Conference on Communications.

Asymptotics of the entropy rate for a hidden Markov process

Eytan Domany, Ido Kanter, Or Zuk, 2005, Data Compression Conference.

Learning on tree architectures outperforms a convolutional feedforward network

I. Kanter, Shiri Hodassman, Yuval Meir, 2022, Scientific Reports.

Coupled lasers: phase versus chaos synchronization.

I. Kanter, A. Friesem, N. Davidson, 2013, Optics letters.

Discontinuous attractor dimension at the synchronization transition of time-delayed chaotic systems.

Wolfgang Kinzel, Ido Kanter, Eckehard Schöll, 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

Time-delayed coupled chaotic semiconductor lasers show new types of synchronization: Experiment and theory

I. Kanter, M. Zigzag, I. Reidler, 2011, 1111.6541.

Interacting neural networks.

W. Kinzel, I. Kanter, R. Metzler, 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

Vitality of Neural Networks under Reoccurring Catastrophic Failures

Ido Kanter, Shira Sardi, Roni Vardi, 2016, Scientific Reports.

Synthetic reverberating activity patterns embedded in networks of cortical neurons

Ido Kanter, Moshe Abeles, Avner Wallach, 2012, 1201.0339.

Mutual information via thermodynamics: three different approaches

Ido Kanter, Yitzhak Peleg, Hadar Efraim, 2009, 0911.3751.

Shannon Capacity of MIMO Systems and Metastability of Random Frustrated Spin Systems

Ido Kanter, Ori Shental, I. Kanter, 2007 .

The equivalence between discrete-spin Hamiltonians and Ising Hamiltonians with multi-spin interactions

I Kanter, I. Kanter, 1987 .

Mean-Field Theory of Spin Glasses and Neural Networks with Finite Coordination Number

I. Kanter, 1987 .

Discrete-Input Two-Dimensional Gaussian Channels With Memory: Estimation and Information Rates Via Graphical Models and Statistical Mechanics

Shlomo Shamai, Anthony J. Weiss, Ido Kanter, 2008, IEEE Transactions on Information Theory.

Public channel cryptography: chaos synchronization and Hilbert's tenth problem.

Wolfgang Kinzel, Ido Kanter, Evi Kopelowitz, 2008, Physical review letters.

Spiking optical patterns and synchronization.

Wolfgang Kinzel, Ido Kanter, Evi Kopelowitz, 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

Chaos synchronization in networks of semiconductor superlattices

I. Kanter, H. Grahn, Wen Li, 2015 .

Identifying universals of text translation*

Ido Kanter, Miriam Shlesinger, Brenda Malkiel, 2006, J. Quant. Linguistics.

A minority of self-organizing autonomous vehicles significantly increase freeway traffic flow

Ido Kanter, Amir Goldental, I. Kanter, 2020, Journal of Physics A: Mathematical and Theoretical.

Is a multiple excitation of a single atom equivalent to a single excitation of an ensemble of atoms

I. Kanter, A. Frydman, Assaf Ater, 2004, physics/0405081.

Long anisotropic absolute refractory periods with rapid rise times to reliable responsiveness.

I. Kanter, R. Vardi, A. Sheinin, 2021, Physical review. E.

The Entropy of a Binary Hidden Markov Process

Eytan Domany, Ido Kanter, Or Zuk, 2005, ArXiv.

Quantum dot — Microlasers with external feedback — A chaotic system close to the quantum limit

S. Reitzenstein, L. Worschech, A. Forchel, 2012, ISLC 2012 International Semiconductor Laser Conference.

Random symmetry breaking and freezing in chaotic networks.

W. Kinzel, I. Kanter, Y. Peleg, 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

Thermodynamic derivation of the mutual information for discrete symmetric channels

I. Kanter, O. Shental, H. Efraim, 2008 .

Carnot in the Information Age: Discrete Symmetric Channels pdf

Ido Kanter, Hadar Efraim, Ori Shental, 2008, ArXiv.

The second law of thermodynamics for communication channels

I. Kanter, O. Shental, 2008, 2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel.

Nonlinear emission characteristics of quantum dot–micropillar lasers in the presence of polarized optical feedback

I. Kanter, M. Kamp, S. Höfling, 2013 .

Simultaneous multi-patch-clamp and extracellular-array recordings: Single neuron reflects network activity

Ido Kanter, Shira Sardi, Roni Vardi, 2016, Scientific Reports.

Statistical mechanics of learning via reverberation in bidirectional associative memories

A. Barra, I. Kanter, M. Centonze, 2023, Physica A: Statistical Mechanics and its Applications.

Genetic attack on neural cryptography.

W. Kinzel, I. Kanter, Andreas Ruttor, 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

Synchronization among neuronal pools without common inputs: in vivo study

M. Abeles, I. Kanter, E. Stern, 2015, Brain Structure and Function.

Patterns of chaos synchronization.

Wolfgang Kinzel, Ido Kanter, Evi Kopelowitz, 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

Dendritic Learning as a Paradigm Shift in Brain Learning.

Ido Kanter, Shira Sardi, Roni Vardi, 2018, ACS chemical neuroscience.

Enhancing the success rates by performing pooling decisions adjacent to the output layer

I. Kanter, R. Vardi, Yuval Meir, 2023, arXiv.org.

Power-law scaling to assist with key challenges in artificial intelligence

Ido Kanter, Shira Sardi, Yuval Meir, 2020, Scientific Reports.

The mechanism underlying successful deep learning

I. Kanter, R. Vardi, Shiri Hodassman, 2023, ArXiv.

Brain experiments imply adaptation mechanisms which outperform common AI learning algorithms

I. Kanter, R. Vardi, A. Goldental, 2020, Scientific Reports.

Biological learning curves outperform existing ones in artificial intelligence algorithms

Ido Kanter, Shira Sardi, Roni Vardi, 2019, Scientific Reports.

Recurrent neural networks that generalize from examples and optimize by dreaming

A. Barra, E. Agliari, I. Kanter, 2022, 2204.07954.

Statistical properties of contact vectors.

M Vendruscolo, E Domany, I Kanter, 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

Information and multiaccess interference in a complexity-constrained vector channel

Ido Kanter, Ori Shental, Ralf R. Muller, 2006, cs/0604074.

Sensitivity of global network dynamics to local parameters versus motif structure in a cortexlike neuronal model.

E Kopelowitz, M Abeles, D Cohen, 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

Security of neural cryptography

Wolfgang Kinzel, Rachel Mislovaty, Einat Klein, 2004, Proceedings of the 2004 11th IEEE International Conference on Electronics, Circuits and Systems, 2004. ICECS 2004..

Eigenvalues of covariance matrices: Application to neural-network learning.

Kanter, Solla, Y. L. Cun, 1991, Physical review letters.

Temporal association in asymmetric neural networks.

Kanter, Sompolinsky, H. Sompolinsky, 1986, Physical review letters.

Synchronization of Chaotic Networks and Secure Communication

Wolfgang Kinzel, Ido Kanter, W. Kinzel, 2012 .

Mean-field theory of spin-glasses with finite coordination number.

Kanter, Sompolinsky, H. Sompolinsky, 1987, Physical review letters.

STATISTICAL PROPERTIES OF CONTACT MAPS

I. Kanter, E. Domany, E. Domany, 1998, cond-mat/9810285.

An Efficient Joint Source-Channel Decoder with Dynamical Block Priors

H. Kfir, I. Kanter, Shahar Keren, 2004, cond-mat/0412574.

Efficient LDPC codes for joint source-channel coding

Ido Kanter, Haggai Kfir, H. Kfir, 2004, Proceedings of the 2004 11th IEEE International Conference on Electronics, Circuits and Systems, 2004. ICECS 2004..

Synchronization of networks of chaotic units with time-delayed couplings.

I Kanter, W Kinzel, A Englert, 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

Ultrahigh-speed random number generation based on a chaotic semiconductor laser.

I Kanter, I Reidler, Y Aviad, 2009, Physical review letters.

Adaptive nodes enrich nonlinear cooperative learning beyond traditional adaptation by links

Ido Kanter, Shira Sardi, Roni Vardi, 2018, Scientific Reports.

Hours of high-frequency stimulations reveal intracellular neuronal trends in vivo

Ido Kanter, Edward A. Stern, Roni Vardi, 2016 .

Stationary log-normal distribution of weights stems from spontaneous ordering in adaptive node networks

Ido Kanter, Shira Sardi, Roni Vardi, 2018, Scientific Reports.

Fast reversible learning based on neurons functioning as anisotropic multiplex hubs

Ido Kanter, Shira Sardi, Roni Vardi, 2017, 1707.06501.

Synchronization by elastic neuronal latencies.

Ido Kanter, Moshe Abeles, Shimon Marom, 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

Biological learning curves outperform existing ones in artificial intelligence algorithms

I. Kanter, R. Vardi, A. Goldental, 2019, Scientific Reports.

Observing chaos for quantum-dot microlasers with external feedback.

W. Kinzel, I. Kanter, M. Kamp, 2011, Nature communications.

Synchronous or asynchronous parallel dynamics which is more efficient

I. Kanter, I. Kanter, 1990 .

Parallel vs. Sequential Belief Propagation Decoding of LDPC Codes over GF(q) and Markov Sources

H. Kfir, I. Kanter, O. Shental, 2006, ArXiv.

Mean-field theory of the Potts glass.

Kanter, Sompolinsky, H. Sompolinsky, 1985, Physical review letters.

Statistical physics of interacting neural networks

Wolfgang Kinzel, Ido Kanter, Richard Metzler, 2001 .

Neural cryptography

Wolfgang Kinzel, Ido Kanter, W. Kinzel, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Embedding information in physically generated random bit sequences while maintaining certified randomness

Ido Kanter, Shira Sardi, Herut Uzan, 2019, EPL (Europhysics Letters).

Statistical mechanical aspects of joint source-channel coding

H. Kfir, I. Kanter, 2003, cond-mat/0303033.

Distributions of triplets in genetic sequences

I. Kanter, D. Kessler, Yu Shi, 1997, physics/9706029.

Markov processes and linguistics

Ido Kanter, I. Kanter, Moishe Halibard, 1998 .

Neural cryptography with feedback.

Andreas Ruttor, Wolfgang Kinzel, Ido Kanter, 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

Disorder generated by interacting neural networks: application to econophysics and cryptography

W. Kinzel, I. Kanter, 2003 .

Robust chaos generation by a perceptron

I. Kanter, A. Priel, 2000, cond-mat/0007074.

Time series generation by multilayer networks

L. Ein-Dor, I. Kanter, 1998 .

Nonlocal mechanism for cluster synchronization in neural circuits

W. Kinzel, I. Kanter, M. Zigzag, 2011, 1103.3634.

Time Series Generation by Recurrent Neural Networks

Ido Kanter, Avner Priel, I. Kanter, 2003, Annals of Mathematics and Artificial Intelligence.

Long-term properties of time series generated by a perceptron with various transfer functions

I. Kanter, A. Priel, 1998, cond-mat/9811109.