General-Purpose Computation with Neural Networks: A Survey of Complexity Theoretic Results

Šíma, Jiří - Orponen, P.
General-Purpose Computation with Neural Networks: A Survey of Complexity Theoretic Results.
Neural Computation. Roč. 15, č. 12 (2003), s. 2727-2778. ISSN 0899-7667. E-ISSN 1530-888X
Impact factor: 2.747, year: 2003
http://hdl.handle.net/11104/0124518

Cited: 132

--- Franco, L. A Measure for the Complexity of Boolean Functions related to their implemetation in Neural Networks. http://arxiv.org/abs/cond-mat/0111169
--- Florian R.V. Biologically inspired neural networks for the control of embodied agents. Technical Report Coneural-03-03. Romania, Cluj, Center for Cognitive and Neural Studies, 2003
--- Trent Heath Apted. Learning and Interactive Tangible User Interfaces (SmartToys). Thesis for the degree of Bachelor. University of Sydney : School of Information Technologies, (2003)
--- Maass W., Markram H.: Theory of the computational function of microcircuit dynamics. In S. Grillner, A.M. Graybiel (eds.): The Interface between Neurons and Global Brain Function, Dahlem Workshop Report 93, pp. 371–390, MIT Press, 2006
--- Best S.M, 2004, Cox P.T. Using artificial neural networks in the visual programming of autonomous robots. Technical Report CS-2004-07. Canada : Dalhouse University, 2004
--- Igel C, Wiegand S, Friedrichs F. Evolutionary optimization of neural systems: The use of self-adaptation. Trends and Applications in Constructive Approximation. M.G.de Bruin, D.H.Mache, and J.Szabados (eds.) : vol. 151, p. 103-123, Basel, Birkhäuser Verlag, (2005)
--- GREENE, M.J. - GORDON, D.M. Interaction rate informs harvester ant task decisions. BEHAVIORAL ECOLOGY. ISSN 1045-2249, MAR-APR 2007, vol. 18, no. 2, p. 451-455. [WOS]
--- LOPEZ-RUIZ, R. - MORENO, Y. - PACHECO, A.F. - BOCCALETTI, S. - HWANG, D.U. Awaking and sleeping of a complex network. NEURAL NETWORKS. ISSN 0893-6080, JAN 2007, vol. 20, no. 1, p. 102-108. [WOS]
--- FRANCO, L. Generalization ability of Boolean functions implemented in feedforward neural networks. NEUROCOMPUTING. ISSN 0925-2312, DEC 2006, vol. 70, no. 1-3, p. 351-361. [WOS]
--- BARRETT, C.L. - HUNT, H.B. - MARATHE, M.V. - RAVI, S.S. - ROSENKRANTZ, D.J. - STEARNS, R.E. Complexity of reachability problems for finite discrete dynamical systems. JOURNAL OF COMPUTER AND SYSTEM SCIENCES. ISSN 0022-0000, DEC 2006, vol. 72, no. 8, p. 1317-1345. [WOS]
--- LOPEZ, R. - ONATE, E. A variational formulation for the multilayer perceptron. ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 1. ISSN 0302-9743, 2006, vol. 4131, p. 159-168. [WOS]
--- ZHAO, Q.C. A remark on "scalar equations for synchronous Boolean networks with biological applications" by C. Farrow, J. Heidel, J. Maloney, and J. Rogers. IEEE TRANSACTIONS ON NEURAL NETWORKS. ISSN 1045-9227, NOV 2005, vol. 16, no. 6, p. 1715-1716. [WOS]
--- ROY, S. - BEIU, V. Majority multiplexing-economical redundant fault-tolerant designs for nanoarchitectures. IEEE TRANSACTIONS ON NANOTECHNOLOGY. ISSN 1536-125X, JUL 2005, vol. 4, no. 4, p. 441-451. [WOS]
--- BARRETT, C. - HUNT, H.B. - MARATHE, M.V. - RAVI, S.S. - ROSENKRANTZ, D.J. - STEARNS, R.E. - THAKUR, M. Predecessor existence problems for finite discrete dynamical systems. THEORETICAL COMPUTER SCIENCE. ISSN 0304-3975, OCT 28 2007, vol. 386, no. 1-2, p. 3-37. [WOS]
--- LOPEZ, R. - BALSA-CANTO, E. - ONATE, E. Neural networks for variational problems in engineering. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING. ISSN 0029-5981, SEP 10 2008, vol. 75, no. 11, p. 1341-1360. [WOS]
--- LOPEZ, R. - ONATE, E. An extended class of multilayer perceptron. NEUROCOMPUTING. ISSN 0925-2312, AUG 2008, vol. 71, no. 13-15, p. 2538-2543. [WOS]
--- SERPEN, G. Hopfield network as static optimizer: Learning the weights and eliminating the guesswork. NEURAL PROCESSING LETTERS. ISSN 1370-4621, FEB 2008, vol. 27, no. 1, p. 1-15. [WOS]
--- PICCININI, G. Some neural networks compute, others don't. NEURAL NETWORKS. ISSN 0893-6080, MAR-APR 2008, vol. 21, no. 2-3, p. 311-321. [WOS]
--- PICCININI, G. Connectionist computation. 2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6. ISSN 1098-7576, 2007, p. 31-36. [WOS]
--- CAI, T.L. - PENG, Q.K. Predicting the splice sites in DNA sequences using neural network based on complementary encoding method. Proceedings of the 2005 International Conference on Neural Networks and Brain, Vols 1-3. 2005, p. 473-476. [WOS]
--- WANG, P. Artificial General Intelligence and Classical Neural Network. 2006 IEEE International Conference on Granular Computing. 2006, p. 130-135. [WOS]
--- STEIN, W. - AUSBORN, J. Analog modulation of digital computation in nerve cells: Simulating the stomatogastric nervous system of the crab.. Modelling and Simulation 2004. 2004, p. 148-152. [WOS]
--- BEIU, V. - SULIEMAN, M. Optimal practical perceptron addition application to single electron technology. ESA'04 & VLSI'04, PROCEEDINGS. 2004, p. 541-547. [WOS]
--- JO, S.H. - YIN, H.J. - MAO, Z.H. Random neural networks with state-dependent firing neurons. IEEE TRANSACTIONS ON NEURAL NETWORKS. ISSN 1045-9227, JUL 2005, vol. 16, no. 4, p. 980-983. [WOS]
--- JACOBSSON, H. Rule extraction from recurrent neural networks: A taxonomy and review. NEURAL COMPUTATION. ISSN 0899-7667, JUN 2005, vol. 17, no. 6, p. 1223-1263. [WOS]
--- BEIU, V. A novel highly reliable low-power nano architecture when von Neumann augments Kolmogorov. 15TH IEEE INTERNATIONAL CONFERENCE ON APPLICATION-SPECIFIC SYSTEMS, ARCHITECTURES AND PROCESSORS, PROCEEDINGS. ISSN 1063-6862, 2004, p. 167-177. [WOS]
--- WEN, U.P. - LAN, K.M. - SHIH, H.S. A review of Hopfield neural networks for solving mathematical programming problems. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. ISSN 0377-2217, NOV 1 2009, vol. 198, no. 3, p. 675-687. [WOS]
--- WAIVIO, R. On discrete N-layer heteroassociative memory models. ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING - COMPUTATIONAL INTELLIGENCE FOR THE E-AGE. 2002, p. 60-64. [WOS]
--- Beiu V., Roy S.: Practical redundant designs for nano-architectures: Review of novel theoretical and simulation results. Proceedings of the NGCM’04 International Symposium Nano & Giga Challenges in Microelectronics, Krakow, Poland, 2004.
--- Lopez-Ruiz R., Moreno Y., Boccaletti S., Hwang D.-U., Pacheco A.F.: Awaking and sleeping a complex network. Nonlinear Sciences archive, http://arxiv.org/abs/nlin.AO/0406053, 2004.
--- Sulieman M.H.: Design and analysis of single-electron technology, neural-inspired gates and arithmetic circuits. PhD thesis, School of Electrical Engineering and Computer Science, Washington State University, 2004.
--- Dias M.: Non-linear control techniques based on neural networks: from the algorithm to the hardware. University of Aveiro, Portugal, 2005.
--- Dominich S.: World wide web retrieval: an advanced course. Department of Computer Science, University of Veszprém, Hungary, 2005.
--- Eliashberg V.: The ULC project. IJCNN 2005 Workshop on Achieving Functional Integration of Diverse Neural Model, 2005.
--- Bournez O.: Continuous Models. Computations. Distributed Algorithms. Habilitation thesis. Institut National Polytechnique de Lorraine, France, 2006.
--- Dominich S., Skrop A., Tuza Z.: Formal theory of connectionist web retrieval. In Soft Computing in Web Information Retrieval, Studies in Fuzziness and Soft Computing, Vol. 197, pp. 163--194, Berlin: Springer Verlag, 2006.
--- Jacobsson H.: Rule extraction from recurrent neural networks: PhD thesis, Department of Computer Science, University of Sheffield, UK, 2006.
--- Taylor B.J., Smith J.T.: Validation of neural networks via taxonomic evaluation. In Methods and Procedures for the Verification and Validation of Artificial Neural Networks, pp. 51--95, Berlin: Springer Verlag, 2006.
--- Mohamed Ben Ali Y.: Evolutionary bi-objective learning with lowest complexity in neural networks: Empirical comparisons. Proceedings of the ICANNGA'2007 Eighth International Conference on Adaptive and Natural Computing Algorithms, pp. 128--137, LNCS 4431, Berlin: Springer Verlag, 2007.
--- Santosh Kumar C., Mahendra K.V.: Predicting stress variations in a repetitive design process using artificial neural networks. Academic Open Internet Journal, 21, 2007. http://www.acadjournal.com.
--- Bournez O., Campagnolo M.L.: A survey on continuous time computations. In S.B. Cooper, B. Löwe, A. Sorbi (eds.): New Computational Paradigms, Changing Conceptions of What is Computable, pp. 383--424, Berlin: Springer Verlag, 2008.
--- Igel Ch., Sendhoff B.: Genesis of organic computing systems: Coupling evolution and learning. In R. Würtz (ed.): Organic Computing, Chapter 7, pp. 141--166, Berlin: Springer-Verlag, 2008.
--- Kennedy A., MacNish C.: An investigation of the state formation and transition limitations for prediction problems in recurrent neural networks. Proceedings of the ACM ACSC'2008 Thirty-First Australasian Conference on Computer Science, Vol. 74, pp. 137--145, 2008.
--- Bshouty N.H., Long P. Linear classifiers are nearly optimal when hidden variables have diverse effects. COLT 2009 Proceedings.
--- Uchizawa K., Nishizeki T., Takimoto E. Energy Complexity and Depth of Threshold Circuits. Proceedings of the 17th International Symposium on Fundamentals of Computation Theory (FCT), Springer LNCS 5699, pp. 335-345, 2009.
--- Lopez R., Diego X., Flores R., Chiumenti M., Onate E. Artificial Neural Networks for the Solution of Optimal Shape Design Problems. Proceedings of WCCM8 ECCOMAS 2008. Barcelona : CIMNE, 2008. ISBN 978-84-96736-55-9.
--- Libra M. The Parallel Adaptation of Artificial Feed-Forward Neural Networks. Master Thesis. Brno: Masaryk University 2006.
--- Lopez R. Flood: An Open Source Neural Networks C++ Library. User's Guide 2008. http://www.cimne.com/flood
--- Gonzales R.L. Neural networks for variational problems in engineering. PhD Thesis. CIMNE 2008. http://www.cimne.com/flood/docs/PhDThesis.pdf.
--- Szabo M. Neurodynamical competition and cooperation mechanisms in brain function: Attentional filtering and perceptual learning. Dissertation. Technische Universität München 2007-2008.
--- Dadvand P., Lopez R., Onate E. Artificial neural networks for the solution of inverse problems. Proceedings of the International Conference on Design Optimization Methods and Applications ERCOFTAC 2006.
--- Piccinini G. The Physical Church-Turing Thesis: Modest or Bold? Unpublished manuscript.
--- Kramer G.R. An analysis of neutral drift's effect on the evolution of a CTRNN locomotion controller with noisy fitness evaluation. Dissertation. Wright State University 2007.
--- Jensen R.R., Hardin P.J., Yu G. Artificial Neural Networks and Remote Sensing. Geography Compass 3, 2 (2009) 630-646
--- Bournez O., Campagnolo M. A Survey on Continuous Time Computations. arXiv:0907.3117v1 [cs.CC]
--- UCHIZAWA, K. - NISHIZEKI, T. - TAKIMOTO, E. Energy and depth of threshold circuits. THEORETICAL COMPUTER SCIENCE. ISSN 0304-3975, OCT 25 2010, vol. 411, no. 44-46, p. 3938-3946. [WOS]
--- DADVAND, P. - ROSSI, R. - ONATE, E. An Object-oriented Environment for Developing Finite Element Codes for Multi-disciplinary Applications. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING. ISSN 1134-3060, SEP 2010, vol. 17, no. 3, p. 253-297. [WOS]
--- EUBANKS, D.L. - MURPHY, S.T. - MUMFORD, M.D. Intuition as an Influence on Creative Problem-Solving: The Effects of Intuition, Positive Affect, and Training. CREATIVITY RESEARCH JOURNAL. ISSN 1040-0419, 2010, vol. 22, no. 2, p. 170-184. [WOS]
--- PICCININI, G. The Physical Church-Turing Thesis: Modest or Bold?. BRITISH JOURNAL FOR THE PHILOSOPHY OF SCIENCE. ISSN 0007-0882, DEC 2011, vol. 62, no. 4, p. 733-769. [WOS]
--- RAST, A. - GALLUPPI, F. - DAVIES, S. - PLANA, L. - PATTERSON, C. - SHARP, T. - LESTER, D. - FURBER, S. Concurrent heterogeneous neural model simulation on real-time neuromimetic hardware. NEURAL NETWORKS. ISSN 0893-6080, NOV 2011, vol. 24, no. 9, SI, p. 961-978. [WOS]
--- COZZOLINO, D. - CYNKAR, W.U. - SHAH, N. - SMITH, P. Multivariate data analysis applied to spectroscopy: Potential application to juice and fruit quality. FOOD RESEARCH INTERNATIONAL. ISSN 0963-9969, AUG 2011, vol. 44, no. 7, SI, p. 1888-1896. [WOS]
--- UCHIZAWA, K. - TAKIMOTO, E. - NISHIZEKI, T. Size-energy tradeoffs for unate circuits computing symmetric Boolean functions. THEORETICAL COMPUTER SCIENCE. ISSN 0304-3975, MAR 4 2011, vol. 412, no. 8-10, p. 773-782. [WOS]
--- EVANS, B.D. - STRINGER, S.M. Transformation-invariant visual representations in self-organizing spiking neural networks. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE. ISSN 1662-5188, JUL 25 2012, vol. 6. [WOS]
--- TEMAM, O. - HELIOT, R. Implementation of Signal Processing Tasks on Neuromorphic Hardware. 2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). 2011, p. 1120-1125. [WOS]
--- BASHAM, E.J. - PARENT, D.W. Compact digital implementation of a quadratic integrate-and-fire neuron. 2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC). ISSN 1557-170X, 2012, p. 3543-3548. [WOS]
--- DOURADO, M.C. - PENSO, L.D. - RAUTENBACH, D. - SZWARCFITER, J.L. Reversible iterative graph processes. THEORETICAL COMPUTER SCIENCE. ISSN 0304-3975, NOV 16 2012, vol. 460, p. 16-25. [WOS]
--- GUO, Q. - XIE, W.W. - MITSUI, T. Convergence and Stability of the Split-Step theta-Milstein Method for Stochastic Delay Hopfield Neural Networks. ABSTRACT AND APPLIED ANALYSIS. ISSN 1085-3375, 2013. [WOS]
--- RAST, A.D. - PLANA, L.A. - WELBOURNE, S.R. - FURBER, S.B. Event-Driven MLP Implementation on Neuromimetic Hardware. 2012 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). ISSN 1098-7576, 2012. [WOS]
--- SUZUKI, A. - UCHIZAWA, K. - ZHOU, X. ENERGY-EFFICIENT THRESHOLD CIRCUITS COMPUTING MOD FUNCTIONS. INTERNATIONAL JOURNAL OF FOUNDATIONS OF COMPUTER SCIENCE. ISSN 0129-0541, JAN 2013, vol. 24, no. 1, SI, p. 15-29. [WOS]
--- MOLNAR, B. - ERCSEY-RAVASZ, M. Asymmetric Continuous-Time Neural Networks without Local Traps for Solving Constraint Satisfaction Problems. PLOS ONE. ISSN 1932-6203, SEP 16 2013, vol. 8, no. 9. [WOS]
--- FITCH, W.T. Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition. PHYSICS OF LIFE REVIEWS. ISSN 1571-0645, SEP 2014, vol. 11, no. 3, p. 329-364. [WOS]
--- CABESSA, J. - VILLA, A.E.P. Expressive power of first-order recurrent neural networks determined by their attractor dynamics. JOURNAL OF COMPUTER AND SYSTEM SCIENCES. ISSN 0022-0000, DEC 2016, vol. 82, no. 8, p. 1232-1250. [WOS]
--- SERPEN, G. - LIU, L.Q. Parallel and distributed neurocomputing with wireless sensor networks. NEUROCOMPUTING. ISSN 0925-2312, JAN 15 2016, vol. 173, p. 1169-1182. [WOS]
--- CABESSA, J. - VILLA, A.E.P. Attractor-Based Complexity of a Boolean Model of the Basal Ganglia-Thalamocortical Network. 2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). ISSN 2161-4393, 2016, p. 4664-4671. [WOS]
--- CABESSA, J. - DUPARC, J. Expressive Power of Nondeterministic Recurrent Neural Networks in Terms of their Attractor Dynamics. INTERNATIONAL JOURNAL OF UNCONVENTIONAL COMPUTING. ISSN 1548-7199, 2016, vol. 12, no. 1, SI, p. 25-50. [WOS]
--- AMELOOT, T.J. - VAN DEN BUSSCHE, J. Positive Neural Networks in Discrete Time Implement Monotone-Regular Behaviors. NEURAL COMPUTATION. ISSN 0899-7667, DEC 2015, vol. 27, no. 12, p. 2623-2660. [WOS]
--- BESOLD, T.R. - KUHNBERGER, K.U. Towards integrated neural-symbolic systems for human-level AI: Two research programs helping to bridge the gaps. BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES. ISSN 2212-683X, OCT 2015, vol. 14, p. 97-110. [WOS]
--- CABESSA, J. - VILLA, A.E.P. Computational Capabilities of Recurrent Neural Networks Based on their Attractor Dynamics. 2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). ISSN 2161-4393, 2015. [WOS]
--- GARDENFORS, P. Computational Complexity and Cognitive Science: How the Body and the World Help the Mind be Efficient. JOHAN VAN BENTHEM ON LOGIC AND INFORMATION DYNAMICS. ISSN 2211-2766, 2014, vol. 5, p. 825-833. [WOS]
--- CHEN, X.Y. - BENSON, J. - ESTRADA, T. keybin Key-based Binning for Distributed Clustering. 2017 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER). ISSN 1552-5244, 2017, p. 572-581. [WOS]
--- DAVIES, S. - RAST, A.D. - GALLUPPI, F. - FURBER, S.B. Maintaining Real-Time Synchrony on SpiNNaker. PROCEEDINGS OF THE 2011 8TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS (CF 2011). 2011. [WOS]
--- SERPEN, G. - LI, J.K. - LIU, L.Q. - GAO, Z.N. WSN-ANN: Parallel and Distributed Neurocomputing with Wireless Sensor Networks. 2013 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). ISSN 2161-4393, 2013. [WOS]
--- WARD, S.I. - VISWANATHAN, N. - ZHOU, N.Y. - SZE, C.C.N. - LI, Z. - ALPERT, C.J. - PAN, D.Z. Clock Power Minimization using Structured Latch Templates and Decision Tree Induction. 2013 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN (ICCAD). ISSN 1933-7760, 2013, p. 599-606. [WOS]
--- SUMI, R. - MOLNAR, B. - ERCSEY-RAVASZ, M. Robust optimization with transiently chaotic dynamical systems. EPL. ISSN 0295-5075, MAY 2014, vol. 106, no. 4. [WOS]
--- BEN ALI, Y.M. Advances in evolutionary feature selection neural networks with co-evolution learning. NEURAL COMPUTING & APPLICATIONS. ISSN 0941-0643, JUN 2008, vol. 17, no. 3, p. 217-226. [WOS]
--- SERPEN, G. - LI, J.K. - LIU, L.Q. AI-WSN: Adaptive and Intelligent Wireless Sensor Network. COMPLEX ADAPTIVE SYSTEMS: EMERGING TECHNOLOGIES FOR EVOLVING SYSTEMS: SOCIO-TECHNICAL, CYBER AND BIG DATA. ISSN 1877-0509, 2013, vol. 20, p. 406-413. [WOS]
--- Okulovskii, Y.S. - Popov, V.Y. On the complexity of recognizing a set of vectors by a neuron. Siberian Advances in Mathematics. October 2010, Volume 20, Issue 4, pp 293–300 | Cite as
--- MOHAMED BEN ALI, A. A Layered Evolutionary Algorithm To Design Artificial Neural Networks. WSEAS-Transactions-on-Systems. April 2004; 3(2): 845-8
--- Cabessa, J. - Villa, A.E.P. Interactive Evolving Recurrent Neural Networks Are Super-Turing Universal. In: Wermter S. et al. (eds) Artificial Neural Networks and Machine Learning – ICANN 2014. Springer, Cham, 2014, pp. 57-64. Lecture Notes in Computer Science, vol 8681.
--- VAN ROOIJ, I. - WRIGHT, C.D. - KWISTHOUT, J. - WAREHAM, T. Rational analysis, intractability, and the prospects of 'as if'-explanations. SYNTHESE. ISSN 0039-7857, FEB 2018, vol. 195, no. 2, SI, p. 491-510. [WOS]
--- SERVEDIO, R.A. - TAN, L.Y. Fooling intersections of low-weight halfspaces. 2017 IEEE 58TH ANNUAL SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE (FOCS). ISSN 0272-5428, 2017, p. 824-835. [WOS]
--- UCHIZAWA, K. - NISHIZEKI, T. - TAKIMOTO, E. Energy Complexity and Depth of Threshold Circuits. FUNDAMENTALS OF COMPUTATION THEORY, PROCEEDINGS. ISSN 0302-9743, 2009, vol. 5699, p. 335-+. [WOS]
--- UCHIZAWA, K. - NISHIZEKI, T. - TAKIMOTO, E. Size and Energy of Threshold Circuits Computing Mod Functions. MATHEMATICAL FOUNDATIONS OF COMPUTER SCIENCE 2009. ISSN 0302-9743, 2009, vol. 5734, p. 724-+. [WOS]
--- LAU, K. - LOPEZ, R. - ONATE, E. Neural networks for optimal control of aircraft landing systems. WORLD CONGRESS ON ENGINEERING 2007, VOLS 1 AND 2. ISSN 2078-0958, 2007, p. 904-+. [WOS]
--- Kowaliw, T. - Bredeche, N. - Chevallier, S. - Doursat R. Artificial Neurogenesis: An Introduction and Selective Review. In: Kowaliw T., Bredeche N., Doursat R. (eds) Growing Adaptive Machines. Studies in Computational Intelligence, vol 557. Springer, Berlin 2014, ISBN 978-3-642-55336-3, pp 1-60
--- Kei Uchizawa - Zhenghong Wang - Hiroki Morizumi - Xiao Zhou. Complexity of counting output patterns of logic circuits. In Proceedings of the Nineteenth Computing: The Australasian Theory Symposium - Volume 141 (CATS '13), Anthony Wirth (Ed.), Vol. 141. Australian Computer Society, Inc., Darlinghurst, Australia, 2013, 37-41.
--- Tošic, P.T. - Ordonez C. Boolean Network Models of Collective Dynamics of Open and Closed Large-Scale Multi-agent Systems. In: Mařík V., Wahlster W., Strasser T., Kadera P. (eds) Industrial Applications of Holonic and Multi-Agent Systems. HoloMAS 2017. Lecture Notes in Computer Science, vol 10444. Springer, Cham, 2017, pp 95-110
--- Cabessa, J. - Finkel, O. Expressive Power of Evolving Neural Networks Working on Infinite Input Streams. In: Klasing R., Zeitoun M. (eds) Fundamentals of Computation Theory. FCT 2017. Lecture Notes in Computer Science, vol 10472. Springer, Berlin 2017, pp. 150-163
--- Uchizawa, K. - Yashima, D. - Zhou, X. Threshold Circuits for Global Patterns in 2-Dimensional Maps. In: Rahman M.S., Tomita E. (eds) WALCOM: Algorithms and Computation. WALCOM 2015. Lecture Notes in Computer Science, vol 8973. Springer, Cham 2015, pp 306-316
--- Herber, A. A Neural Architecture Based on Hadamard Designs. The Open Neuroscience Journal, 2012, 6, 1-9
--- UCHIZAWA, K. Lower Bounds for Threshold Circuits of Bounded Energy. Interdisciplinary Information Sciences. Vol. 20 (2014) No. 1 p. 27-50
--- UCHIZAWA, K. - ZHOU, X. Energy-Efficient Threshold Circuits for Comparison Functions. Interdisciplinary Information Sciences. Vol. 18 (2012) No. 2 p. 161-166
--- Uchizawa, K. - Yashima, D. - Zhou, X. Threshold Circuits Detecting Global Patterns in Two-dimensional Maps. Journal of Graph Algorithms and Applications. vol. 20, no. 1, pp. 115–131 (2016). DOI: 10.7155/jgaa.00387
--- Lima, C.V.G.C. - Oliviera, L.I.L. - Barbosa, V.C. - Dourado, M.C. - Protti, F. - Szwarcfiter, J.L. A computational study of f-reversible processes on graphs. Discrete Applied Mathematics. Available online 27 July 2017. https://doi.org/10.1016/j.dam.2017.07.00
--- Nirjhar Bar - Asit Baran Biswas - Manindra Nath Biswas - Sudip Kumar Das. Gas-non-Newtonian Liquid Flow through Horizontally Oriented Helical Coils – Prediction of Frictional Pressure Drop Using ANN. Artificial Intelligent Systems and Machine Learning. Vol 3, No 7 (2011) 412-418.
--- Servedio, R.A. - Tan, L.Y. Fooling intersections of low-weight halfspaces. arXiv:1704.04855 [cs.CC] 2017
--- Shihua Zhang - Guanghua Hu - Wenwen Min. A neurodynamic framework for local community extraction in networks. arXiv:1511.09368 [cs.SI] 2015
--- Liu, L. A Parallel and Distributed Computing Platform for Neural Networks Using Wireless Sensor Networks. Thesis. The University of Toledo 2012
--- Ji, L. AI-WSN: Adaptive and Intelligent Wireless Sensor Networks. Dissertation. The University of Toledo 2012
--- Morgan, A.D. On The Matter of Memory: Neural Computation and The Mechanisms of Intentional Agency. Dissertation. The State University of New Jersey 2014
--- Orr, E. Evolving Turing's Artificial Neural Networks. Doctor of Philoosophy Thesis. University of Canterbury 2010
--- Rast, D.A. Scalable Event-Driven Modelling Architectures for Neuromimetic Hardware. Thesis. University of Manchester 2011
--- Wijnia, A.R. Natural Evolution of Algorithms with Parameter Sensitive Performance. Master Thesis. Radboud University 2014
--- Evans, B.D. Learning Transformation-Invariant Visual Representations in Spiking Neural Networks. Thesis. University of Oxford 2012
--- Kwong Chiew Foong. Adaptive Fuzzy Logic Handover Algorithms for Next Generation Mobile Networks. Thesis. Multimedia University Malaysia 2015
--- Goudarzi, A. Theory and Practice of Computing with Excitable Dynamics. Thesis. University of New Mexico 2016
--- --- Liu, L. A Parallel and Distributed Computing Platform for Neural Networks Using Wireless Sensor Networks. Electronic Thesis & Dissertations Center. University of Toledo 2012
--- Ward, S.I. Physical Design Automation of Structured High-Performance Integrated Circuits. Dissertation. The University of Texas at Austin 2013
--- Schwinghamer, S. The Uncommon Enemy: First Nations and Empires in King William's War. Thesis Halifax, Nova Scotia 2007
--- Farkaš I.: Konekcionizmus v náručí výpočtovej kognitívnej vedy. In Kvasnička V. et al. (eds.), Umelá inteligencia a kognitívna veda III. 19-62. Bratislava, Univerzita Komenského 2011
--- Tillman, G.. The Racing Diffusion Model of Speeded Decision Making. PsyArXiv, 18 Sept. 2017. doi:10.17605/OSF.IO/XUWBK
--- Manoj, R. - Maruthi, M. - Vivek, G. - Kumar, S.. Article: A Survey: Artificial Neural Networks in Surveillance System. IJCA Proceedings on International Conference on Innovation in Communication, Information and Computing 2013 ICICIC 2013(1):19-22, March 2013
--- IONITA, S. - SOFRON, E. - IONITA, M.M. Models of artificial intelligence. Between digital and analog from formal to intuitive reasoning. 15th INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE. Bucharest, Romania, 25 to 27 May 2005
--- Logeswaran, R. Neural networks in medicine: Improving difficult automated detection of cancer in the bile ducts. R. Chiong (Ed.), Nature-inspired informatics for intelligent applications and knowledge didscovery: impliactions in business, scinece, and ingeneering. Hershey, 2010, pp. 144-165.
--- Hernandez, G. - Salinas, L. Neural Network Heuristic for the Graph Bisection Problem on Geometrically Connected Graphs. ICNAAM – 2006 Extended Abstracts
--- Grimm, A.G. An Exploration Of Heterogeneous Networks On Chip. Thesis. Portland State University 2011
--- CABESSA, J. - FINKEL, O. Computational capabilities of analog and evolving neural networks over infinite input streams. JOURNAL OF COMPUTER AND SYSTEM SCIENCES. ISSN 0022-0000, MAR 2019, vol. 101, p. 86-99. [WOS]
--- ASHWIN, P. - POSTLETHWAITE, C. Sensitive Finite-State Computations Using a Distributed Network With a Noisy Network Attractor. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. ISSN 2162-237X, DEC 2018, vol. 29, no. 12, p. 5847-5858. [WOS]
--- VERZI, S.J. - ROTHGANGER, F. - PAREKH, O.D. - QUACH, T.T. - MINER, N.E. - VINEYARD, C.M. - JAMES, C.D. - AIMONE, J.B. Computing with Spikes: The Advantage of Fine-Grained Timing. NEURAL COMPUTATION. ISSN 0899-7667, OCT 2018, vol. 30, no. 10, p. 2660-2690. [WOS]
--- FOSS, R.A. - ESPEJO, R. Coping with complexity: Variety regulation by honey bee nectar foragers. FUTURES. ISSN 0016-3287, OCT 2018, vol. 103, SI, p. 115-122. [WOS]
--- LIMA, C.V.G.C. - OLIVEIRA, L.I.L. - BARBOSA, V.C. - DOURADO, M.C. - PROTTI, F. - SZWARCFITER, J.L. A computational study of f-reversible processes on graphs. DISCRETE APPLIED MATHEMATICS. ISSN 0166-218X, AUG 20 2018, vol. 245, SI, p. 77-93. [WOS]
--- TOSIC, P.T. - ORDONEZ, C. Boolean Network Models of Collective Dynamics of Open and Closed Large-Scale Multi-agent Systems. INDUSTRIAL APPLICATIONS OF HOLONIC AND MULTI-AGENT SYSTEMS. ISSN 0302-9743, 2017, vol. 10444, p. 95-110. [WOS]