{"id":56,"date":"2021-11-18T15:30:28","date_gmt":"2021-11-18T15:30:28","guid":{"rendered":"http:\/\/blogs.kzoo.edu\/perdi\/?page_id=56"},"modified":"2026-01-03T01:09:15","modified_gmt":"2026-01-03T01:09:15","slug":"selected-publications","status":"publish","type":"page","link":"https:\/\/blogs.kzoo.edu\/perdi\/selected-publications\/","title":{"rendered":"Selected Publications"},"content":{"rendered":"\n

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Stochastic Chemical Kinetics<\/h6>\n\n\n\n

\u00c9rdi P., Sipos T. and T\u00f3th J.:Stochastic Simulation of Complex Chemical Reaction by Digital Computer. Magy. Kem. Folyoirat 79(97-108)1973 (in Hungarian)<\/p>\n\n\n\n


Sipos T., T\u00f3th J. and \u00c9rdi P.:Stochastic Simulation of Complex Chemical Reaction by Digital Computer I. The model. React. Kinet. Catal. Lett. 1(113-117)1974<\/p>\n\n\n\n


ipos T., T\u00f3th J. and \u00c9rdi P.:Stochastic Simulation of Complex Chemical Reaction by Digital Computer II. Applications. React. Kinet. Catal. Lett. 1(209-212)1974 <\/p>\n\n\n\n

\u00c9rdi P. ,T\u00f3th J.:Stochastic Reaction Kinetics=Nonequilibrium Thermodynamics of the State Space? React. Kinet. Catal. Lett. 4(81-85)1976<\/p>\n\n\n\n

\u00c9rdi P. ,T\u00f3th J.:Stochastic Reaction Kinetics=Nonequilibrium Thermodynamics of the State Space? React. Kinet. Catal. Lett. 4(81-85)1976<\/p>\n\n\n\n

\u00c9rdi P. ,T\u00f3th J.:On Stochastic Formulation of Chemical Thermodynamics of Chemical Reactions. In: A k\u00e9mia \u00fajabb eredm\u00e9nyei 31(177-298)<\/p>\n\n\n\n

T\u00f3th J. and \u00c9rdi P.:Determination of Reaction Rate Constants of
Complex Chemical Reactions from Equilibrium Fluctuations.
In: Proc. on 5 Symp. Comp. Chem. Engng., The High
Tatras, Czechoslovakia, 1977, pp. 321-324.<\/p>\n\n\n\n

\u00c9rdi P. , Ropolyi L.:Investigation of Transmitter – Receptor Interaction by Analyzing Postsynaptic Membrane Noise Using Stochastic Kinetics. Biol. Cybernetics 32(41-45)1979<\/p>\n\n\n\n

\u00c9rdi P. and T\u00f3th J.:Some Comments on Prigogine’s Theories.
React. Kinet. Catal. Lett. 11(371-375)1979<\/p>\n\n\n\n

T\u00f3th J. \u00c9rdi P. and T\u00f6r\u00f6k T.:Significance of the Possionian Distribution in the Stochastic Model of Complex Chemical Reactions. Alk. Mat. Lapok 9(175-195)1983 (in Hungarian)<\/p>\n\n\n\n

\u00c9rdi P. and T\u00f3th J.:Anomalous Stochastic Kinetics. In: Chemical Reactivity in Liquids. Fundamental Aspects. (Eds. Moreau M. and Turk P.), Plenum Publ. 1988. pp. 511-516.<\/p>\n\n\n\n

T\u00f3th J. and \u00c9rdi P.: The Indispensability of Stochastic Kinetic Models. In: Nonlinear Dynamics and Exotic Kinetic Phenomena in Chemical Systems. (Bazsa Gy. ed), pp 117-143. (in Hungarian)<\/p>\n\n\n\n

Wadhwa RR, L, Szente J, N\u00e9gyessy L and \u00c9rdi P.:: Stochastic kinetics of the circular gene hypothesis: feedback effects and protein fluctuations. Mathematics and Computers in Simulation (2015)<\/p>\n\n\n\n

Hippocampal Rhythms<\/h6>\n\n\n\n

\u00c9rdi P, Aradi I., and Gr\u00f4bler T: Rhythmogenesis in single cells and population models: olfactory bulb and hippocampus. BioSystems 40(45-53)1997<\/p>\n\n\n\n

Gr\u00f4bler T, Barna G, and \u00c9rdi P: Statistical Model of the Hippocampal CA3 region I. The Single Cell Module: Bursting Model of the Pyramidal Cell. Biol. Cybernetics 79(301-308)1998 <\/p>\n\n\n\n

Barna G, Gr\u00f4bler T, and \u00c9rdi P: Statistical Model of the Hippocampal CA3 region II. The Population Framework: Model of Rhythmic Activity in the CA3 Slice. Biol. Cybernetics 79(309-321) 1998<\/p>\n\n\n\n

Bazs\u00f3 F, Kepecs \u00c1, Lengyel M, Payrits Sz, Szaliszny\u00f3 K, \u00c9rdi P:
Single Cell and Population Activities in Cortical-like Systems. Rev. Neurosci. 10: 201-212, 1999<\/p>\n\n\n\n

Orb\u00e1n G, Kiss T, Lengyel M, \u00c9rdi P: Hippocampal rhythm generation: gamma related theta frequency resonance
in CA3 interneurons. Biol. Cybernetics (84(123-132)<\/p>\n\n\n\n

R. Kozma, WJ. Freeman, P. \u00c9rdi: The KIV Model – Nonlinear Spatio-Temporal Dynamics of the Primordial Vertebrate Forebrain. Neurocomputing, 52-54 (2003) 819-826<\/em><\/p>\n\n\n\n

M. Lengyel, Z. Szatm\u00e1ry, P. \u00c9rdi:<\/strong> Dynamically detuned oscillations account for the coupled rate and temporal code of place cell firing.<\/a> Hippocampus 13 (2003) 700-714<\/em><\/p>\n\n\n\n

M. Lengyel, P. \u00c9rdi: Theta modulated feed-forward network generates rate and phase coded firing in the entorhino-hippocampal system<\/a> IEEE Transactions on Neural Networks 15 (2004) 1092-1099<\/em><\/p>\n\n\n\n

M. Lengyel, Zs. Huhn, P. \u00c9rdi: Computational theories on the function of theta oscillation Biol Cybern 92(6) 393-408 (2005<\/em><\/p>\n\n\n\n

Zs. Huhn, G. Orb\u00e1n, P. \u00c9rdi, M. Lengyel<\/strong> : Theta oscillation-coupled dendritic spiking integrates inputs on a long time scale<\/a> Hippocampus 15(7) (2005) 950-962<\/em><\/p>\n\n\n\n

P. \u00c9rdi, Zs. Huhn, T. Kiss: Hippocampal theta rhythms from a computational perspective: code generation, mood regulation and navigation<\/a> Neural Networks 18(9) (2005) 1202-1211<\/em><\/p>\n\n\n\n

G. Orb\u00e1n, T. Kiss and P. \u00c9rdi: Intrinsic and synaptic mechanisms determining the timing of neuron population activity during hippocampal theta oscillation. Journal of Neurophysiology 96(6) (2006) 2889-2904<\/em><\/p>\n\n\n\n

P. \u00c9rdi, T. Kiss, B. Ujfalussy <\/strong>: Multi-level models. In Hippocampal Microcircuits, eds. Vassilis Cutsuridis, Bruce Graham, Stuart Cobb, and Imre Vida. Springer 2010. pp. 527-554.<\/em><\/p>\n\n\n\n

Computational Pharmacology and Psychiatry<\/h6>\n\n\n\n

M. Haj\u00f3s, WE. Hoffmann, G. Orb\u00e1n, T. Kiss, P. \u00c9rdi: Modulation of septo-hippocampal theta activity by GABAA receptors: Experimental and computational approach Neuroscience 126\/3 (2004) 599-610<\/em><\/p>\n\n\n\n

Kiss T, Orb\u00e1n G and \u00c9rdi P:<\/strong> Modelling hippocampal theta oscillation: applications in neuropharmacology and robot navigation.<\/a> International Journal of Intelligent Systems 21(9) (2006) 903-917 <\/em><\/p>\n\n\n\n

P. \u00c9rdi and J. T\u00f3th: Towards a dynamic neuropharmacology: Integrating network and receptor levels. In: Brain, Vision and Artifical Intelligence.<\/em> M. De Gregorio, V. Di Maio, M. Frucci and C. Musio (eds). Lecture Notes in Computer Science 3704, Springer, Berlin Heidelberg 2005, pp. 1-14.<\/p>\n\n\n\n

\u00c9rdi P, Kiss T, T\u00f3th J, Ujfalussy B and Zal\u00e1nyi L: From systems biology to dynamical neuropharmacology: Proposal for a new methodology.<\/a> IEE Proceedings in Systems Biology 153(4) 299-308 (2006)<\/em><\/p>\n\n\n\n

I. Aradi and P. \u00c9rdi: Computational neuropharmacology: dynamical approaches in drug discovery. Trends in Pharmacological Sciences 27(5) (2006) 240-243<\/em><\/p>\n\n\n\n

T. Kiss and P. \u00c9rdi:<\/strong> From electric patterns to drugs: perspectives of computational neuroscience in drug design.<\/a> BioSystems 86(1-3) 46-52 (2006)<\/em><\/p>\n\n\n\n

\u00c9rdi P, Kiss T, T\u00f3th J, Ujfalussy B and Zal\u00e1nyi L:<\/strong> From systems biology to dynamical neuropharmacology: Proposal for a new methodology.<\/a> IEE Proceedings in Systems Biology 153(4) 299-308 (2006)<\/em><\/p>\n\n\n\n

B. Ujfalussy, T. Kiss, G. Orb\u00e1n, WE. Hoffmann, P. \u00c9rdi and M. Haj\u00f3s<\/strong>: Pharmacological and Computational Analysis of alpha-subunit Preferential GABAA Positive Allosteric Modulators on the Rat Septo-Hippocampal Activity. Neuropharmacology 52(3) (2007) 733-743<\/em><\/p>\n\n\n\n

P. \u00c9rdi, B. Ujfalussy, L. Zal\u00e1nyi, VA. Diwadkar<\/strong>: Computational approach to schizophrenia: Disconnection syndrome and dynamical pharmacology. In: A selection of papers of The BIOCOMP 2007 International Conference L. M. Ricciardi (ed.) Proceedings of the American Institute of Physics 1028, 65-87<\/em><\/p>\n\n\n\n

\u00c9rdi P, VA Diwadkar, Ujfalussy B.<\/strong>: The schizophrenic brain: A broken hermeneutic circle. In Artificial Neural Networks – ICANN 2008 Volume Editors: V Kurkova, R Neruda, J Koutnik, Part II. Lecture Notes in Computer Science 5164 Springer 2008, pp. 929-938<\/em><\/p>\n\n\n\n

VA Diwadkar, B Flaugher, T Jones, Zal\u00e1nyi L, Ujfalussy B, MS Keshavan, \u00c9rdi P.<\/strong>: Impaired associative learning in schizophrenia: Behavioral and computational studies. Cognitive Neurodynamics 2(207-219)(2008)<\/em><\/p>\n\n\n\n

\u00c9rdi P., Ujfalussy B., Diwadkar V.<\/strong>: The schizophrenic brain: A broken hermeneutic circle. In Neural Network World 19(413-427)2009<\/em><\/p>\n\n\n\n

Gore CD, B\u00e1nyai M, Gray PM, Diwadkar V, \u00c9rdi P<\/strong>: Pathological Effects of Cortical Architecture on Working Memory in Schizophrenia. Pharmacopsychiatry 43(Suppl 1)592-597,2010<\/em><\/p>\n\n\n\n

B\u00e1nyai M, Diwadkar V, \u00c9rdi P<\/strong>: Model-based dynamical analysis of functional disconnection in schizophrenia NeuroImage, 58(3): 870-877, 2011.<\/em><\/p>\n\n\n\n

John T, Kiss T, Lever C and \u00c9rdi P<\/strong>: Anxiolytic Drugs and Altered Hippocampal Theta Rhythms: The Quantitative Systems Pharmacological Approach} Network: Computation in Neural Systems March – June 2014, Vol. 25, No. 1-2 , Pages 20-37.<\/em><\/p>\n\n\n\n

\u00c9rdi P, John T, Kiss T. and Lever CP<\/strong>: Discovery and validation of biomarkers based on computational models of normal and pathological hippocampal rhythms. In: Validating Neuro-Computational Models of Neurological and Psychiatric Disorders. Eds: Bhattacharya B and Chowdhury F. Springer, Computational Neuroscience series, 2015; pp 15-42<\/em><\/p>\n\n\n\n

\u00c9rdi P, Matsuzawa T, John T, Kiss T and Zal\u00e1nyi L<\/strong>: Connecting Epilepsy and Alzheimer’s Disease: Modeling of Normal and Pathological Rhythmicity and Synaptic Plasticity Related to Amyloid-Beta Effects. In: \u00c9rdi P, Bhattacharya BS and Cochran Al (Eds.): Computational Neurology and Psychiatry (Springer Series in Bio-\/Neuroinformatics) 1st ed. 2017 Edition, pp 93-119.<\/em><\/p>\n\n\n\n

Matsuzawa T, Zal\u00e1nyi L, Kiss T and \u00c9rdi P <\/strong>: Multi-scale modeling of altered synaptic plasticity related to Amyloid beta effects Neural Networks 93(230-139)2017<\/em><\/p>\n\n\n\n

Others continued…<\/h6>\n\n\n\n

Drutchas G and \u00c9rdi P<\/strong> Dynamics of Price Sensitivity and Market Structure in an Evolutionary Economic Matching Model. In Proc. AAAI Fall Symp.; Complex Adaptive Systems and the Threshold Effect: Views from the Natural and Social Sciences, AAA Press, pp 39-46, 2009<\/em><\/p>\n\n\n\n

Jones BD, Zal\u00e1nyi L, Baumgartner F and \u00c9rdi P<\/strong>: Dynamic Threshold Modeling of Budget Changes. In Proc. AAAI Fall Symp.; Complex Adaptive Systems and the Threshold Effect: Views from the Natural and Social Sciences. pp 61-66, 2009<\/em><\/p>\n\n\n\n

\u00c9rdi P<\/strong>: Scope and Limits of Predictions by Social Dynamic Models: Crisis, Innovation, Decision Making. Evolutionary and Institutional Economics Review, 7(1): 21-42<\/em><\/p>\n\n\n\n

\u00c9rdi P<\/strong>: Towards a Post-Keplerian social science: Comments by P. \u00c9rdi on the Visioneer white papers by D. Helbing and S. Balietti. European Physical Journal, Special Topics, 195:147-151, 2011.<\/em><\/p>\n\n\n\n

M San Miguel, JH Johnson, J Kertesz, K Kaski, A D\u00edaz-Guilera, RS.MacKay, V Loreto, P \u00c9rdi, D Helbing<\/strong>: Challenges in Complex Systems Science. Eur. Phys. J. Special Topics <\/em>214, 245-271 (2012)<\/p>\n\n\n\n

Jones BD, Zal\u00e1nyi L and \u00c9rdi P<\/strong>: An Integrated Theory of Budgetary Politics and Some Empirical Tests: The US National Budget, 1791-2010. American Journal of Political Science 2014 pp 1-18. DOI: 10.1111\/ajps.12088<\/em><\/p>\n\n\n\n

Gershenson C, Csermely P, \u00c9rdi P, Knyazeva H and Laszlo L<\/strong>: The Past, Present and Future of Cybernetics and Systems Research. Systema 1(3), pp. 4-13.<\/em><\/p>\n\n\n\n


\u00c9rdi P and B\u00e1nyai M<\/strong>:Introduction to Cognitive Systems. In: Handbook on Computational Intelligence. Ed. Angelov, World Scientific 2015<\/em><\/p>\n\n\n\n

Kamalaldin K, Salome A and \u00c9rdi P <\/strong>Modeling Ebola. Science Progress 99(200-219)2016<\/em><\/p>\n\n\n\n

\u00c9rdi P<\/strong>: The Brain-Mind-Computer Trichotomy: Hermeneutic Approach. In: Artificial Intelligence in the Age of Neural Networks and Brain Computing. Editors: Robert Kozma Cesare Alippi Yoonsuck Choe Francesco Morabito. Elsevier, 2018<\/em><\/p>\n\n\n\n

P. \u00c9rdi<\/strong>: The Cognitive Science of the Ranking Game. In: A Life in Cognition (Gervain J, Csibra, and Kristof Kovacs, eds.) Springer 2021 <\/p>\n\n\n\n

\u00c9rdi, P.<\/strong>\u00a0Teaching Interdisciplinary Sciences in a Liberal Arts College.\u00a0Systems Research and Behavioral Science<\/em>. \u00a0https:\/\/doi.org\/10.1002\/sres.70003, 2025<\/p>\n\n\n\n

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Computational Neuroscience (general)<\/h6>\n\n\n\n

\u00c9rdi P. and T\u00f3th J.:Oscillatory Phenomena at the Synapse. Adv. Physiol. Sci. 34(115-121)1981
<\/p>\n\n\n\n

\u00c9rdi P.:Hierarchical Thermodynamic Approach to the Brain. Int. J. Neurosci. 20(193-216)1983<\/p>\n\n\n\n

\u00c9rdi P.:System-theoretical Approach to the Neural Organization: Feed-forward Control of the Ontogenetic Development.
In: Cybernetics and System Research, (Ed. Trappl R.),
North-Holland, pp.229-235.<\/p>\n\n\n\n

\u00c9rdi P. and Barna G.:Self-organizing Mechanism for the Formation of Ordered Neural Mappings. Biol. Cybernetics 51(93-101)1984<\/p>\n\n\n\n

\u00c9rdi P. and Barna G.:Self-organization of Neural Networks: Noise-induced Transition. Phys. Lett. 107A(287-290)1985
<\/p>\n\n\n\n

\u00c9rdi P. and Szent\u00e1gothai J.:Neural connectivities: Between Determinism and Randomness. In:Dynamics of Macrosystems. Aubin J.-P., Saari D. and Sigmund K. (eds.) Lect. Notes in Econ. and Mathematical Systems. Springer pp. 21-29. <\/p>\n\n\n\n

Barna G. and \u00c9rdi P.:Pattern Formation in Neural Systems II.
Noise-induced Formation of Ocular Dominance Columns.
In: Cybernetics and Systems ’86 (ed. Trappl R.),
D. Reidel Publ. Company, pp. 335-342. <\/p>\n\n\n\n

\u00c9rdi P. and Barna G.:Pattern Formation in Neural Systems. I. Autorhythmicity, Entrainment, Quasiperiodicity, and Chaos in Neurochemical Systems. In: Cybernetics and Systems ’86 (ed. Trappl R.), D. Reidel Publ. Company, pp. 343-350.<\/p>\n<\/div><\/div>\n\n\n\n

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\u00c9rdi P. and Barna G.:Self-organization in the Nervous System: Some Illustrations. In: Mathematical Topics in Population Biology, Morphogenesis and Neuroscience (Eds. Teramoto E. and Yamaguti M.), Lect. Notes in Biomathematics, Vol. 71,
Springer Verlag 1987. pp. 301-317.<\/p>\n\n\n\n

\u00c9rdi P.:Neurobiological Approach to Computing Devices. BioSystems 21(125-133)1988<\/p>\n\n\n\n

\u00c9rdi P.:From Brain Theory to Future Generation Computer Systems.
In: Nature, Cognition and Systems. (Ed. Carvallo M.),
Kluwer Acad. Publ., Dordrecht, 1988. pp. 77-94.<\/p>\n\n\n\n

\u00c9rdi P.:Self-organization in the Nervous System: Network Structure
and Stability. In: Mathematical Approaches to Brain
Functioning Diagnostics. Dvorak I, Holden AV, eds.
Manchester Univ. Press. pp. 31-43.<\/p>\n\n\n\n

\u00c9rdi P. and Barna G.:Information Processing and Learning in the
Olfactory Bulb. In: Kohonen et al, eds; Artificial Neural Networks, Vol. 2. 1409-1413. North-Holland. <\/p>\n\n\n\n

\u00c9rdi P. and Barna G: Neurodynamic Approach to Odor Processing. IJCNN-91. pp. 653-656.<\/p>\n\n\n\n

\u00c9rdi P., Gr\u00f4bler T. and T\u00f3th J.:On the classification of some classification problems. In:Int. Symp. on Information Physics, Kyushu Inst. Technol. Iizuka. pp. 110-117. <\/p>\n\n\n\n

\u00c9rdi P, Gr\u00f4bler T., Barna G. and Kaski K.:Dynamics of the Olfactory Bulb: Bifurcations, Learning, and Memory. Biological Cybernetics 63(57-66)1993<\/p>\n\n\n\n

Horv\u00e1th G, Szak\u00e1l \u00c1., and \u00c9rdi P.: Mathematical Description of Retinal Comet-Like After Images. A Modified Neural Equation. Math. Biosci. 114(215-248)<\/p>\n\n\n\n

\u00c9rdi P: Noise and Chaos in Neural Systems. In: Neural Modeling and Neural Networks. (Ventriglia F. ed.), pp. 163-184,. Pergamon Press, 1994.<\/p>\n\n\n\n

Aradi I, Barna G, \u00c9rdi P and Gr\u00f4bler T.:Chaos and Learning in the Olfactory Bulb. Int. J. Intelligent Systems 10(89-117)1995 <\/p>\n\n\n\n

Aradi I, and \u00c9rdi P: Signal Generation and Propagation in the Olfactory Bulb: Multicompartmental Modeling. Computers and Mathematics with Applications 32(1-27)1996<\/p>\n\n\n\n

Aradi I, \u00c9rdi P: Multicompartmental Modelling of Neural Circuits in the Olfactory Bulb. Int. J. Neural Systems 7(519-527)1996<\/p>\n\n\n\n

Aradi I, and \u00c9rdi P: Multicompartmental modeling of the olfactory bulb. Cybernetics and Systems 27(605-615)1996<\/p>\n\n\n\n

Somogyv\u00e1ri Z, Andai A, Sz\u00e9kely G, \u00c9rdi P: On the Role of Self-excitation in the Development of Topographic Order in the Visual System of the Frog. BioSystems 48(215-222)1998<\/p>\n\n\n\n

Szaliszny\u00f3 K, \u00c9rdi P: Depolarizing\/hyperpolarizing effects of GABAA synapse have a beneficial role in synaptic weight resetting in hippocampus. Neuroreport 11 (2000) 3559-64<\/p>\n\n\n\n

Z. Somogyv\u00e1ri, L. Zal\u00e1nyi, I. Ulbert, P. \u00c9rdi :<\/strong> Model-based source localization of extracellular action potentials. Journal of Neuroscience Methods 147(2) (2005) 126-137<\/em><\/p>\n\n\n\n

B. Ujfalussy, T Kiss, P. \u00c9rdi<\/strong>: Parallel Computational Subunits in Dentate Granule Cells Generate Multiple Place Fields. In PLoS Comput Biol 5(9):e1000500, 2009<\/em><\/p>\n\n\n\n

Somogyv\u00e1ri Z, Cserp\u00e1n D, Ulbert I, \u00c9rdi P : Localization of single cell current sources based on extracellular potentials patterns: the spike CSD method. European Journal of Neuroscience 36, 3299-3313 (2012)<\/p>\n\n\n\n

\u00c9rdi P.<\/strong> Teaching Computational Neuroscience. Cognitive Neurodynamics 2015 Oct;9(5):479-85. doi: 10.1007\/s11571-015-9340-6.<\/em><\/p>\n\n\n\n

Somogyv\u00e1ri Z and \u00c9rdi P: Forward and Backward Modeling: From Single Cells to Neural Population and Back. In: Cognitive Phase Transitions in the Cerebral Cortex – Enhancing the Neuron Doctrine by Modeling Neural Fields (Kozma R, Freeman W eds).Springer 2016<\/p>\n\n\n\n

Patent Citation Networks<\/h6>\n\n\n\n

Strandburg KJ, Cs\u00e1rdi G, Tobochnik J, \u00c9rdi P, Zal\u00e1nyi L: Law and the Science of Networks: an Overview and an Application to the “Patent Explosion” Berkeley Technology Law Journal, 21(4) (2006) 1293-1362<\/em><\/p>\n\n\n\n

G. Cs\u00e1rdi, KJ. Strandburg, L. Zal\u00e1nyi, J. Tobochnik, P. \u00c9rdi:<\/strong> Modeling innovation by a kinetic description of the patent citation system Physica A: Statistical and Theoretical Physics 374(1-2) (2007) 783-793<\/em><\/p>\n\n\n\n

Cs\u00e1rdi G, KJ Strandburg, J Tobochnik, \u00c9rdi P.: The inverse problem of evolving networks – with application to social nets. Chapter 10 in Handbook of Large-Scale Random Networks, eds.: B\u00e9la Bollob\u00e1s, R\u00f3bert Kozma, Dezs\u0151 Mikl\u00f3s. Springer-Verlag<\/em><\/p>\n\n\n\n

Katherine J. Strandburg, G\u00e1bor Cs\u00e1rdi, Jan Tobochnik, P\u00e9ter \u00c9rdi, L\u00e1szl\u00f3 Zal\u00e1nyi : Patent citation networks revisited: signs of a twenty-first century change? North Carolina Law Review 87(1657-1698)2009<\/em><\/p>\n\n\n\n

P \u00c9rdi, K Makovi, Z. Somogyv\u00e1ri , K <\/strong>Strandburg K, J Tobochnik , P Volf , L Zal\u00e1nyi: Prediction of Emerging Technologies Based on Analysis of the U.S. Patent Citation Network. . Scientometrics 95:225-242 (2013)<\/em><\/p>\n\n\n\n

Bruck P, R\u00e9thy I, Szente J, Tobochnik J and \u00c9rdi P Recognition of Emerging Technology Trends. Class-selective study of citations in the U.S. Patent Citation Network Scientometrics 107(1465-1475)2016<\/em><\/p>\n\n\n\n

Beltz H, Rutledge T, Wadhwa RW, Bruck P, Tobochnik J, Fulop A, Fenyvesi G, and \u00c9rdi P: Ranking Algorithms: Application for Patent Citation Network. In: Information Quality in Information Fusion and Decision Making, Bosse, Eloi, Rogova, Galina (Eds.): Springer, 2019<\/em><\/p>\n\n\n\n

Others<\/h6>\n<\/div><\/div>\n\n\n\n

Szent\u00e1gothai J. and \u00c9rdi P.:Self-organization in the Nervous System. J. Social. Biol. Struct. 12(367-384)1989<\/p>\n\n\n\n

\u00c9rdi P.: Neurodynamic System Theory. Theoretical Medicine
14(137-152)1993<\/p>\n\n\n\n

\u00c9rdi P.:Structures, Forms, Patterns and Perception: A
Brain-Theoretic Point of View. In:Symmetries in Science IV. Biological and Biophysical Systems. (Eds. Gruber B. and Yopp J.H.)
Plenum Press, New York 1990. pp. 29-52<\/p>\n\n\n\n

\u00c9rdi P. and T\u00f3th J.:What is and What is Not Stated by the May -Wigner Theorem? J. theor. Biol. 145(137-140)1990<\/p>\n\n\n\n

\u00c9rdi P.: Neurodynamic Sytems Theory. Lecture Notes.
Tampere Universtity of Technology. Institue of
Electronics.<\/p>\n\n\n\n

Gr\u00f4bler T, Marton P. and \u00c9rdi P.:On the Dynamic Organization of Memory. A Mathematical Model of Associative Free Recall.Biol. Cybernetics. 65(73-79)1991<\/p>\n\n\n\n

\u00c9rdi P., Gr\u00f4bler T. and Marton P.: On the Double Architecture of the Semantic Memory. In:Nature, Cognition and Systems II. (ed. Carvallo EM), Kluwer Aacd. Publ, pp. 193-203.<\/p>\n\n\n\n

T\u00f3th J, Szili L. and \u00c9rdi P.: Chemical Kinetics: A Prototype of Nonlinear Sciences. In: The Paradigm of Self-Organization II (Ed. G.J. Dalenoort), pp. 184-201, Gordon and Breach, London, 1994 .<\/p>\n\n\n\n

\u00c9rdi P: The Complexity of the Brain: Structure, Function, Dynamics. In: Int. Seminar on Evolutionary Systems. (Vienna 1995 March); Van de Vijver G, ed. pp 51-60.Moreno-Diaz R, Mira-Mira J, eds. The MIT Press, Cambridge, 1996, pp. 88-97. <\/p>\n\n\n\n

\u00c9rdi P: The Complexity of the Brain: Structure, Function, Dynamics. In: Brain Processes, Theories, and Models. Eds Moreno-Diaz R, Mira-Mira J, eds. The MIT Press, Cambridge, 1996, pp. 88-97. <\/p>\n\n\n\n

\u00c9rdi P: The Brain as a Hermeneutic Device. BioSytems 38(79-89)1996<\/p>\n\n\n\n

\u00c9rdi P, Aradi I, Kato Y, Yoshikawa, K: Dynamic Information in Natural and Artificial Olfactory Systems. BioSytems, 46 (107-112) 1998<\/p>\n\n\n\n

\u00c9rdi P and Aradi I: The Brain as a Hermeneutic Device. In: Hermeneutics and Science. Boston Studies in the Philosophy of Science, Vol. 206, (Eds. M. Fehe’r, O. Kiss and Ropolyi L.), Kluwer Acad. Publ. Dordrecht-Boston-London. pp. 183-198. <\/p>\n\n\n\n

\u00c9rdi P: Computational Approach to the Functional Organization of the Hippocampus. Neuronal Bases and Psychological Aspects of Consciousness (ed. Taddei-Ferrati C), World Scientific, (72-84)
<\/p>\n\n\n\n

\u00c9rdi P: Neural and Mental Development: Selectionsim, Constructivism, Hermeneutics. Neuronal Bases and Psychological Aspects of Consciousness (ed. Taddei-Ferrati, C), World Scientific, (507-518)<\/p>\n\n\n\n

Arbib M and \u00c9rdi P: Structure, Function, and Dynamics: An Integrated Approach to Neural Organization. Behavioral and Brain Sciences 23(513-571)<\/p>\n\n\n\n

\u00c9rdi P and Tsuda I: Hermeneutic Approach to the Brain: Process versus Device?
Theoria et Historia Scientiarum Vol 6. 307-321, 2002<\/p>\n\n\n\n

Cs. F\u00f6ldy, Z. Somogyv\u00e1ri, P. \u00c9rdi: Hierarchically Organized Minority Games.<\/a> Physica A, 323 (2003) 735-742<\/em><\/p>\n\n\n\n

L. Zal\u00e1nyi, G. Cs\u00e1rdi, T. Kiss, M. Lengyel, R. Warner, J. Tobochnik, P. \u00c9rdi: Properties of a random attachment growing network<\/a> Physical Review E 68<\/strong> 066104 (2003)<\/em><\/p>\n\n\n\n

R. Kozma, W.J. Freeman, D. Wong, P. \u00c9rdi: Learning environmental clues in the KIV model of the cortico-hippocampal formation Neurocomputing 58-60 (2004) 721-728<\/em><\/p>\n\n\n\n

(continuation in the left column)<\/em><\/strong><\/p>\n\n\n\n

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Stochastic Chemical Kinetics \u00c9rdi P., Sipos T. and T\u00f3th J.:Stochastic Simulation of Complex Chemical Reaction by Digital Computer. Magy. Kem. Folyoirat 79(97-108)1973 (in Hungarian) Sipos T., T\u00f3th J. and \u00c9rdi P.:Stochastic Simulation of Complex Chemical Reaction by Digital Computer I. The model. React. Kinet. Catal. Lett. 1(113-117)1974 ipos T., T\u00f3th J. and \u00c9rdi P.:Stochastic Simulation… Continue reading Selected Publications<\/span><\/a><\/p>\n","protected":false},"author":81,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/blogs.kzoo.edu\/perdi\/wp-json\/wp\/v2\/pages\/56"}],"collection":[{"href":"https:\/\/blogs.kzoo.edu\/perdi\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.kzoo.edu\/perdi\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.kzoo.edu\/perdi\/wp-json\/wp\/v2\/users\/81"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.kzoo.edu\/perdi\/wp-json\/wp\/v2\/comments?post=56"}],"version-history":[{"count":31,"href":"https:\/\/blogs.kzoo.edu\/perdi\/wp-json\/wp\/v2\/pages\/56\/revisions"}],"predecessor-version":[{"id":481,"href":"https:\/\/blogs.kzoo.edu\/perdi\/wp-json\/wp\/v2\/pages\/56\/revisions\/481"}],"wp:attachment":[{"href":"https:\/\/blogs.kzoo.edu\/perdi\/wp-json\/wp\/v2\/media?parent=56"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}