Hava T. Siegelmann

According to our database1, Hava T. Siegelmann authored at least 106 papers between 1991 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Awards

IEEE Fellow

IEEE Fellow 2018, "For contributions to neural computation".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
Nanotechnology-inspired Information Processing Systems of the Future.
CoRR, 2020

Near-optimal insulin treatment for diabetes patients: A machine learning approach.
Artif. Intell. Medicine, 2020

Lattice map spiking neural networks (LM-SNNs) for clustering and classifying image data.
Ann. Math. Artif. Intell., 2020

Adaptive Neural Connections for Sparsity Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Minibatch Processing for Speed-up and Scalability of Spiking Neural Network Simulation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Abstraction Mechanisms Predict Generalization in Deep Neural Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Locally connected spiking neural networks for unsupervised feature learning.
Neural Networks, 2019

Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game.
Neural Networks, 2019

Minibatch Processing in Spiking Neural Networks.
CoRR, 2019

Deep Neural Networks Abstract Like Humans.
CoRR, 2019

Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games.
CoRR, 2019

Models of Situated Intelligence Inspired by the Energy Management of Brains.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Toward Modeling Regeneration via Adaptable Echo State Networks.
Proceedings of the From Parallel to Emergent Computing, 1st Edition, 2019

2018
BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python.
Frontiers Neuroinformatics, 2018

Error Forward-Propagation: Reusing Feedforward Connections to Propagate Errors in Deep Learning.
CoRR, 2018

BindsNET: A machine learning-oriented spiking neural networks library in Python.
CoRR, 2018

Evolution of Abstraction Across Layers in Deep Learning Neural Networks.
Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

STDP Learning of Image Patches with Convolutional Spiking Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Unsupervised Learning with Self-Organizing Spiking Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Neural Networks.
Proceedings of the Handbook of Approximation Algorithms and Metaheuristics, 2018

2017
Insulin Regimen ML-based control for T2DM patients.
CoRR, 2017

Resting state neural networks and energy metabolism.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Preface.
Theor. Comput. Sci., 2016

2015
Human Strategies for Multitasking, Search, and Control Improved via Real-Time Memory Aid for Gaze Location.
Frontiers ICT, 2015

EyeFrame: Real-Time Memory Aid Improves Human Multitasking via Domain-General Eye Tracking Procedures.
Frontiers ICT, 2015

Implementation of universal computation via small recurrent finite precision neural networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
The Super-Turing Computational Power of plastic Recurrent Neural Networks.
Int. J. Neural Syst., 2014

Report on UCNC 2014.
Bull. EATCS, 2014

Development of Physical Super-Turing Analog Hardware.
Proceedings of the Unconventional Computation and Natural Computation, 2014

2013
Probability-Generated Aggregators.
Int. J. Intell. Syst., 2013

Multiscale Agent-based Model of Tumor Angiogenesis.
Proceedings of the International Conference on Computational Science, 2013

2012
Guest Editorial: Biologically Inspired Human-Robot Interactions - Developing More Natural Ways to Communicate with our Machines.
IEEE Trans. Auton. Ment. Dev., 2012

A year of neural network research: Special Issue on the 2011 International Joint Conference on Neural Networks.
Neural Networks, 2012

The Computational Power of Interactive Recurrent Neural Networks.
Neural Comput., 2012

2011
Communicated somatic markers benefit both the individual and the species.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Evolving recurrent neural networks are super-Turing.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Activity Inference through Commonsense.
Proceedings of the Logical Formalizations of Commonsense Reasoning, 2011

2010
Conspecific Emotional Cooperation Biases Population Dynamics: A Cellular Automata Approach.
Int. J. Nat. Comput. Res., 2010

Complex Systems Science and Brain Dynamics.
Frontiers Comput. Neurosci., 2010

Identification and control of intrinsic bias in a multiscale computational model of drug addiction.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

2009
Text-based Reasoning with Symbolic Memory Model.
Proceedings of the Fifth International Workshop on Neural-Symbolic Learning and Reasoning, 2009

Drug Addiction: A Computational Multiscale Model Combining Neuropsychology, Cognition and Behavior.
Proceedings of the BIOSIGNALS 2009, 2009

2008
Robust artificial life via artificial programmed death.
Artif. Intell., 2008

Emotions for Strategic Real-Time Systems.
Proceedings of the Emotion, 2008

Emotional Robotics: Tug of War.
Proceedings of the Emotion, 2008

2007
Neural Networks.
Proceedings of the Handbook of Approximation Algorithms and Metaheuristics., 2007

The Self-Construction and -Repair of a Foraging Organism by Explicitly Specified Development from a Single Cell.
Artif. Life, 2007

Multi-Agent System that Attains Longevity via Death.
Proceedings of the IJCAI 2007, 2007

2006
Circadian synchrony in networks of protein rhythm driven neurons.
Complex., 2006

Adaptive Multi-modal Sensors.
Proceedings of the 50 Years of Artificial Intelligence, 2006

2005
Introducing an active cluster-based information retrieval paradigm.
J. Assoc. Inf. Sci. Technol., 2005

2004
On probabilistic analog automata.
Theor. Comput. Sci., 2004

Time-Warped Longest Common Subsequence Algorithm for Music Retrieval.
Proceedings of the ISMIR 2004, 2004

2003
Neural and Super-Turing Computing.
Minds Mach., 2003

Probabilistic analysis of a differential equation for linear programming.
J. Complex., 2003

Symbolic Processing in Neural Networks.
J. Braz. Comput. Soc., 2003

2002
A Theory of Complexity for Continuous Time Systems.
J. Complex., 2002

2001
Support Vector Clustering.
J. Mach. Learn. Res., 2001

Neural Computing.
Bull. EATCS, 2001

Active Information Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Computation in Gene Networks.
Proceedings of the Machines, 2001

Verifying Properties of Neural Networks.
Proceedings of the Connectionist Models of Neurons, 2001

2000
Overcoming selective ensemble averaging: unsupervised identification of event-related brain potentials.
IEEE Trans. Biomed. Eng., 2000

Sensor registration using neural networks.
IEEE Trans. Aerosp. Electron. Syst., 2000

Clustering Irregular Shapes Using High-Order Neurons.
Neural Comput., 2000

Macroscopical Molecular Computation with Gene Networks.
Proceedings of the Unconventional Models of Computation, 2000

A Support Vector Method for Clustering.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

A Support Vector Clustering Method.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Finite Versus Infinite Neural Computation.
Proceedings of the Finite Versus Infinite, 2000

1999
Nine switch-affine neurons suffice for Turing universality.
Neural Networks, 1999

Discontinuities in Recurrent Neural Networks.
Neural Comput., 1999

Stochastic Analog Networks and Computational Complexity.
J. Complex., 1999

Noisy Neural Networks and Generalizations.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Neural networks and analog computation - beyond the Turing limit.
Progress in theoretical computer science, Birkhäuser, ISBN: 978-0-8176-3949-5, 1999

1998
A Theory of Complexity for Continuous Time Dynamics.
Proceedings of the International Colloquium Universal Machines and Computations, 1998

Attractor systems and analog computation.
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998

High Order Eigentensors as Symbolic Rules in Competitive Learning.
Proceedings of the Hybrid Neural Systems, 1998

1997
Computational capabilities of recurrent NARX neural networks.
IEEE Trans. Syst. Man Cybern. Part B, 1997

Multiprocessor Document Allocation: A Genetic Algorithm Approach.
IEEE Trans. Knowl. Data Eng., 1997

Computational power of neural networks: a characterization in terms of Kolmogorov complexity.
IEEE Trans. Inf. Theory, 1997

The complexity of language recognition by neural networks.
Neurocomputing, 1997

Neural Dynamics with Stochasticity.
Proceedings of the Adaptive Processing of Sequences and Data Structures, 1997

A Generic Approach for Identification of Event Related Brain Potentials via a Competitive Neural Network Structure.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Turing Universality of Neural Nets (Revisited).
Proceedings of the Computer Aided Systems Theory, 1997

1996
The Simple Dynamics of Super Turing Theories.
Theor. Comput. Sci., 1996

On NIL: the Software Constructor of Neural Networks.
Parallel Process. Lett., 1996

The Dynamic Universality of Sigmoidal Neural Networks.
Inf. Comput., 1996

Recurrent Neural Networks and Finite Automata.
Comput. Intell., 1996

1995
On the complexity of training neural networks with continuous activation functions.
IEEE Trans. Neural Networks, 1995

On the Computational Power of Neural Nets.
J. Comput. Syst. Sci., 1995

Welcoming the Super Turing Theories.
Proceedings of the SOFSEM '95, 22nd Seminar on Current Trends in Theory and Practice of Informatics, Milovy, Czech Republic, November 23, 1995

What NARX Networks Can Compute.
Proceedings of the SOFSEM '95, 22nd Seminar on Current Trends in Theory and Practice of Informatics, Milovy, Czech Republic, November 23, 1995

Input variable selection for neural networks: application to predicting the U.S. business cycle.
Proceedings of the IEEE/IAFE 1995 Computational Intelligence for Financial Engineering, 1995

Recurrent Neural Networks.
Proceedings of the Computer Science Today: Recent Trends and Developments, 1995

1994
Analog Computation via Neural Networks.
Theor. Comput. Sci., 1994

Towards Full Automation of the Discovery of Heuristics in a Nuclear Engineering Project: Integration With a Neural Information Language.
Proceedings of the Methodologies for Intelligent Systems, 8th International Symposium, 1994

An integrated symbolic and neural network architecture for machine learning in the domain of nuclear engineering.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

On The Computational Power of Probabilistic and Faulty Neural Networks.
Proceedings of the Automata, Languages and Programming, 21st International Colloquium, 1994

On a Learnability Question Associated to Neural Networks with Continuous Activations (Extended Abstract).
Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, 1994

Neural Programming Language.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993
Document Allocation In Multiprocessor Information Retrieval Systems.
Proceedings of the Advanced Database Systems, 1993

On the Power of Sigmoid Neural Networks.
Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, 1993

Some Structural Complexity Aspects of Neural Computation.
Proceedings of the Eigth Annual Structure in Complexity Theory Conference, San Diego, 1993

1992
The Complexity of Language Recognition by Neural Networks.
Proceedings of the Algorithms, Software, Architecture, 1992

1991
Integrating Implicit Answers with Object-Oriented Queries.
Proceedings of the 17th International Conference on Very Large Data Bases, 1991

On the Allocation of Documents in Multiprocessor Information Retrieval Systems.
Proceedings of the 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Chicago, 1991


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