Martin Hasler

发表

Communication by chaotic signals: the inverse system approach

Ute Feldmann, Martin Hasler, Wolfgang M. Schwarz, 1995, Proceedings of ISCAS'95 - International Symposium on Circuits and Systems.

Information storage using stable and unstable oscillations : an overview

Patrick Thiran, Martin Hasler, 1996 .

Low-Density Codes Based on Chaotic Systems for Simple Encoding

Martin Hasler, Slobodan Kozic, M. Hasler, 2009, IEEE Transactions on Circuits and Systems I: Regular Papers.

Self-organisation, metastable states and the ODE method in the Kohonen neural network

Martin Hasler, John A. Flanagan, 1995, ESANN.

Optimal receiver for ergodic chaos shift keying

Martin Hasler, Marco Storace, Thomas Schimming, 2002, 2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353).

Qualitative resonance of chaotic attractors

Martin Hasler, O. De Feo, 2001 .

Stable Stationary Solutions in Reaction-diffusion Systems Consisting of a 1-d Array of Bistable Cells

Martin Hasler, Leonid P. Nizhnik, Irina L. Nizhnik, 2002, Int. J. Bifurc. Chaos.

PILA: a computer program for fast and accurate analysis of piecewise linear circuits

Martin Hasler, R. Lojacono, Mario Biey, 1988, 1988., IEEE International Symposium on Circuits and Systems.

Early consensus in complex networks under variable graph topology

Martin Hasler, Leonidas Georgopoulos, 2009, 2009 European Conference on Circuit Theory and Design.

Information Storage Using Stable and Unstable Oscillations: An Overview

Patrick Thiran, Martin Hasler, P. Thiran, 1996, Int. J. Circuit Theory Appl..

An example of partial synchronization

Martin Hasler, Y. Maistrenko, O. Popovych, 1998 .

Nonlinear Average Consensus

Martin Hasler, Leonidas Georgopoulos, 2009 .

Artificial Neural Networks — ICANN'97

Wulfram Gerstner, Martin Hasler, Jean-Daniel Nicoud, 1997, Lecture Notes in Computer Science.

Simple example of partial synchronization of chaotic systems

Martin Hasler, O. Popovych, Yu. Maistrenko, 1998 .

Communication by chaotic signals: the inverse system approach

Ute Feldmann, Martin Hasler, Wolfgang M. Schwarz, 1995, Proceedings of ISCAS'95 - International Symposium on Circuits and Systems.

A novel approach for the analysis of synchronization in multivariate EEG time series

Martin Hasler, Maria G. Knyazeva, O. De Feo, 2008 .

Questioning the Classic State-Space Description Via Circuit Examples

Martin Hasler, Michel Fliess, M. Fliess, 1990 .

Blinking Long-Range Connections Increase the Functionality of Locally Connected Networks

Martin Hasler, Igor Belykh, M. Hasler, 2005, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Training Distributed Neural Networks by Consensus

Martin Hasler, Leonidas Georgopoulos, 2011 .

Forest fire localization using distributed algorithms in wireless sensor networks

Alireza Khadivi, Martin Hasler, Leonidas Georgopoulos, 2009 .

Piecewise-Linear Analysis for Chua's Circuit Family, including the Computation of Lyapunov exponents

Martin Hasler, Mario Biey, Amedeo Premoli, 1993, J. Circuits Syst. Comput..

Multiple task learning in recurrent neural networks using layered reservoirs

Martin Hasler, Mahdi Jalili, Ali Ajdari Rad, 2009 .

Piecewise-linear Analysis for Chua's Circuit family, including the Computation of Lyapunov exponents

Martin Hasler, Mario Biey, Amedeo Premoli, 1993, Chua's Circuit.

Computation of static stability margins in power systems using monotonicity

Marija D. Ilic, Martin Hasler, Changlu Wang, 1993, 1993 IEEE International Symposium on Circuits and Systems.

Synchronization and Graph Topology

Henk Nijmeijer, Martin Hasler, Igor Belykh, 2005, Int. J. Bifurc. Chaos.

Partial synchronization in coupled map systems

Martin Hasler, Y. Maistrenko, O. Popovych, 1998 .

Information Processing in Complex Networks

Alireza Khadivi, Martin Hasler, Ali Ajdari Rad, 2010, IEEE Circuits and Systems Magazine.

Cluster Synchronization in Three-Dimensional Lattices of Diffusively Coupled oscillators

Martin Hasler, Vladimir N. Belykh, Igor Belykh, 2003, Int. J. Bifurc. Chaos.

Recursive neural networks for associative memory

Martin Hasler, Yves Kamp, M. Hasler, 1990, Wiley-interscience series in systems and optimization.

The backpropagation learning algorithm realized by an analogue circuit

Martin Hasler, M. Hasler, 1993, Int. J. Circuit Theory Appl..

When Symmetrization Guarantees Synchronization in Directed Networks

Martin Hasler, Vladimir N. Belykh, Igor Belykh, 2007, Int. J. Bifurc. Chaos.

Engineering chaos for encryption and broadband communication

Martin Hasler, M. Hasler, 1995, Philosophical Transactions of the Royal Society of London. Series A: Physical and Engineering Sciences.

Markov Chain Modeling and Analysis of Complicated Phenomena in Coupled Chaotic oscillators

Yoshifumi Nishio, Yoko Uwate, Martin Hasler, 2010, J. Circuits Syst. Comput..

Connectivity in ad-hoc and hybrid networks

Patrick Thiran, Martin Hasler, Olivier Dousse, 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

Cellular neural networks: the analogic microprocessor?

Leon O. Chua, Josef A. Nossek, Ángel Rodríguez-Vázquez, 1994, Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94.

Resistive circuit topologies that admit several solutions

Martin Hasler, Marc Fosseprez, 1990, Int. J. Circuit Theory Appl..

Noise Filtering in chaos-based communication

Martin Hasler, H. Dedieu, T. Schimming, 2000 .

Mesoscale and clusters of synchrony in networks of bursting neurons.

Martin Hasler, Igor Belykh, M. Hasler, 2011, Chaos.

Enhancing synchronizability of dynamical networks using the connection graph stability method

Mahdi Jalili, Martin Hasler, Ali Ajdari Rad, 2007, Int. J. Circuit Theory Appl..

Synchronization of chaotic systems and transmission of information

Martin Hasler, M. Hasler, 1998 .

Mixed-domain system representation using Volterra series

Gernot Kubin, Martin Hasler, 2008, 2008 IEEE International Symposium on Circuits and Systems.

Dynamics of Stochastically Blinking Systems. Part I: Finite Time Properties

Martin Hasler, Vladimir N. Belykh, Igor Belykh, 2013, SIAM J. Appl. Dyn. Syst..

Predicting single spikes and spike patterns with the Hindmarsh–Rose model

Martin Hasler, Enno de Lange, M. Hasler, 2008, Biological Cybernetics.

Letter limit cycles in residue number system filters

Martin Hasler, Gian Carlo Cardarilli, M. Hasler, 1992, Eur. Trans. Telecommun..

Secure communication via Chua"s circuit

Michael Peter Kennedy, Martin Hasler, J. Schweizer, 1993 .

Guest editorial: Special issue on communications, information processing and control using chaos

Joos Vandewalle, Martin Hasler, J. Vandewalle, 1999, Int. J. Circuit Theory Appl..

Fire Detection and Localization Using Wireless Sensor Networks

Alireza Khadivi, Martin Hasler, M. Hasler, 2009, SENSAPPEAL.

‘Glocal’ Robustness Analysis and Model Discrimination for Circadian Oscillators

Heinz Koeppl, Marc Hafner, Martin Hasler, 2009, PLoS Comput. Biol..

Belief propagation decoding for codes based on discretized chaotic maps

Martin Hasler, Slobodan Kozic, 2006, 2006 IEEE International Symposium on Circuits and Systems.

Reservoir optimization in recurrent neural networks using properties of Kronecker product

Mahdi Jalili, Martin Hasler, Ali Ajdari Rad, 2010, Log. J. IGPL.

Reservoir optimization in recurrent neural networks using kronecker kernels

Mahdi Jalili, Martin Hasler, Ali Ajdari Rad, 2008, 2008 IEEE International Symposium on Circuits and Systems.

Separating a chaotic signal from noise and applications

Martin Hasler, H. Dedieu, T. Schimming, 1999 .

On Strong and Weak Chaotic Partial Synchronization

Martin Hasler, Oleksandr V. Popovych, Yuri L. Maistrenko, 2000, Int. J. Bifurc. Chaos.

Tuning Chaotic Synchronization for Application in Temporal Pattern Recognition

Martin Hasler, O. De Feo, 2003 .

State Change Detection Using Multivariate Synchronization Measure from Physiological Signals (Special Section on Papers Awarded the Student Paper Award at NCSP'06)

Martin Hasler, Kumiko Oshima, Cristian Carmeli, 2006 .

Automatic skill acquisition in Reinforcement Learning using connection graph stability centrality

Parham Moradi, Martin Hasler, Ali Ajdari Rad, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

Chaos Communication over noisy Channels

Martin Hasler, Thomas Schimming, M. Hasler, 2000, Int. J. Bifurc. Chaos.

Synchronization of chaotic signals

Michael Peter Kennedy, Martin Hasler, J. Schweizer, 1993 .

Study of the Kohonen network with a discrete state space

Patrick Thiran, Martin Hasler, 1995 .

Controlled One- and Multidimensional Modulations Using Chaotic Maps

Martin Hasler, Slobodan Kozic, Thomas Schimming, 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

Response of coupled chaotic circuits to sinusoidal input signal

Akio Ushida, Yoshifumi Nishio, Martin Hasler, 2002, 2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353).

Forest fire localization using a distributed consensus algorithm in wireless sensor networks

Alireza Khadivi, Martin Hasler, Leonidas Georgopoulos, 2009 .

Community detection enhancement in networks using proper weighting and partial synchronization

Alireza Khadivi, Martin Hasler, Ali Ajdari Rad, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

Coded modulations based on controlled 1-D and 2-D piecewise linear chaotic maps

Martin Hasler, Thomas Schimming, 2003, Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03..

Automatic skill acquisition in reinforcement learning using graph centrality measures

Alireza Khadivi, Parham Moradi, Martin Hasler, 2012, Intell. Data Anal..

Classes of stochastically switched (blinking) systems

Martin Hasler, Vladimir N. Belykh, Igor Belykh, 2007, 2007 IEEE International Symposium on Circuits and Systems.

On the design of a synchronizing inverse of a chaotic system

Ute Feldmann, Martin Hasler, Wolfgang Schwarz, 1995 .

Turbo-like structures for chaos encoding and decoding

Martin Hasler, Miguel A. F. Sanjuán, Luis López, 2009, IEEE Transactions on Communications.

Distributed machine learning in networks by consensus

Martin Hasler, Leonidas Georgopoulos, M. Hasler, 2014, Neurocomputing.

Autonomous cellular neural networks: a unified paradigm for pattern formation and active wave propagation

Leon O. Chua, George S. Moschytz, Martin Hasler, 1995 .

Patterns of Synchrony in Neuronal Networks: The Role of Synaptic Inputs

Martin Hasler, Igor Belykh, M. Hasler, 2015 .

Synchronization stability in oscillator networks: Solution for asymmetrical configurations

Martin Hasler, Vladimir N. Belykh, Igor Belykh, 2007, PSYCO.

Self-Organising Artificial Neural Networks

Martin Hasler, John A. Flanagan, J. A. Flanagan, 1995, IWANN.

Dynamics of Stochastically Blinking Systems. Part II: Asymptotic Properties

Martin Hasler, Vladimir N. Belykh, Igor Belykh, 2013, SIAM J. Appl. Dyn. Syst..

Classification of Chaotic Sequences with Open-Loop Estimator - Optimal Design for Noisy Environments

Federico Bizzarri, Martin Hasler, Marco Storace, 2004, Int. J. Bifurc. Chaos.

Multiple access communications using chaotic signals

Martin Hasler, J. Schweizer, M. Hasler, 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.

Stochasticity of probabilistic systems: analysis methodologies case-study

Karl Aberer, Martin Hasler, Anwitaman Datta, 2005, 2005 International Conference on Collaborative Computing: Networking, Applications and Worksharing.

An approach to information propagation in cellular neural networks - Part I : Local diffusion

Patrick Thiran, Gianluca Setti, Martin Hasler, 1998 .

Potential of chaos communication over noisy channels - channel coding using chaotic piecewise linear maps

Martin Hasler, Thomas Schimming, 2002, 2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353).

Cluster synchronization in lattices of diffusively coupled dynamical systems

Martin Hasler, Vladimir N. Belykh, Igor Belykh, 2001 .

Self-organization of a one-dimensional Kohonen network with quantized weights and inputs

Patrick Thiran, Martin Hasler, M. Hasler, 1994, Neural Networks.

Synchronization of bursting neurons: what matters in the network topology.

Martin Hasler, Enno de Lange, Igor Belykh, 2005, Physical review letters.

FAST AND ACCURATE CALCULATION OF LYAPUNOV EXPONENTS FOR PIECEWISE-LINEAR SYSTEMS

Martin Hasler, Amedeo Premoli, Silvano Chialina, 1994 .