Péter Érdi Henry R. Luce Professor Center for Complex Systems Studies Department of Physics Department of Psychology Kalamazoo College Kalamazoo, MI 49006 1200 Academy Street (269) 337-5720 Email: perdi@kzoo.edu M. Sc. in Chemistry, Science Faculty of the Eötvös L. University, Budapest, Hungary; 1970 M. Sc. in Chemical Cybernetics, Faculty of Chemical Engineering, Technical University of Budapest, Hungary; 1974 Ph. D. in Chemistry, Hungarian Academy of Sciences, Budapest, Hungary; 1981 D. Sc. Kinetics of Chemical and Biological Networks, Hungarian Academy of Sciences; 1991 Professor at Technical University, Budapest; Kossuth Lajos University, Debrecen, Hungary; 1995 Széchenyi Professor (1999-2002), Department of History and Philosophy of Science, Eötvös University, Budapest Head: Department of Biophysics KFKI Research Institute for Particle and Nuclear Physics of the Hungarian Academy of Sciences (1993-2011) Budapest Complex Systems and Computational Neuroscience Group Institute for Particle and Nuclear Physics Wigner Research Centre for Physics, (not anymore) Hungarian Academy of Sciences/ Co-Director of BSCS - Budapest Semester in Cognitive Science (2003-) Honorary Chair The International Joint Conferences on Neural Networks, Budapest 2019 Editor-in-Chief Cognitive Systems Research Vice President for Membership (2017-2019) International Neural Network Society Member of the Board of Governors (2012-2014, 2015-2017) of the International Neural Network Society Senior Member of the International Neural Network Society Member of the IEEE Computational Intelligence Society University Curriculum Subcommittee Member of the FENS-IBRO European Neuroscience Schools Programme Member of the Editorial and Programme Advisory Board of the Springer Complexity publishing program Councilor at Large: The Michigan Chapter of the Society for Neuroscience (2013-2014) Member of the Scientific Advisory Board of the EPJ Nonlinear Biomedical Physics Member of the International Editorial Board of the Neural Network World Associate Editor of BioSystems Member of the Executive Commitee of the European Neural Network (2002-2009) Society Member of the Editorial Board of the Journal of Applied System Studies Member of the Editorial Board of the Cognitive Neurodynamics Member of Brain and Mind's Editorial Board (2000-2003) Member of the Society for Chaos Theory in Psychology & Life Sciences. Associate Editor of Neurobiology Member of the Editorial Board Natural Computing. Member of the Editorial Board Progress in Neuropsychopharmacology

Picture taken in January, 2002 Picture taken in February, 2008 Picture taken in July, 2012 Picture taken in December, 2016

RANKING: The Unwritten Rules of the Social Game We All Play.
Oxford University Press

Talks etc in 2019

• 6th Intl. Conference on Soft Computing & Machine Intelligence, Johannesburg (ISCMI 2019)>
  RANKING: The reality, illusion and manipulation of objectivity
• Biomath Forum, University of Pretoria
  Dynamical systems perspective in neuroscience - historical and current approaches
• 7th International Workshop on Artificial Intelligence and Cognition, Manchester
  The Cognitive Science of the Ranking Game
• Florence J. Lucasse Fellowship for Excellence in Scholarship lecture:
  RANKING: The Hidden Rules of the Social Game We All Play. (Kalamazoo College)
• Bioinspired analysis of dynamical systems and Protein network analysis. Esztergom, Hungary
  Dynamical systems perspective in neuroscience - historical and current approaches

Talks etc in 2018

• The second International Conference On Intelligent Computing in Data Science. Keynote lecture Fez, Morocco
  From Cybernetics to Cognitive Science and Back
• Data Science and Internet of Everything. Keynote Lecture, Cambridge, UK
  How to Play the Ranking Game?

• Intelligent Computing Theories and Application. Keynote Lecture, Liverpool, UK
  Ranking: The reality, illusion and manipulation of objectivity
• International Joint Conference on Neural Networks, Anchorage, Alaska, USA
  From Complex Systems Theory to Systems Neuroscience (Tutorial)
• 2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management
  Systems Theoretical Approach to Situation Awareness: Historical and Modern Perspectives

• Bertalanffy Lecture 2016
  Complex Systems Perspective in Neuroscience: historical and current approaches
• ICANN 2016
  Patent Citation Network Analysis: Topology and evolution of patent citation networks
  Patent Citation Network Analysis:Ranking: from web pages to patents
• IEEE WCCI 2016 Tutorial
  Patent Citation Network Analysis
• 4th International Workshop on Artificial Intelligence and Cognition. 2016 Annual International Conference on Biologically Inspired Cognitive Architectures
  The brain-mind-computer trichotomy:hermeneutic approach
• Mathematical Neurology and Psychiatry, 2016 SIAM Conference on the Life Sciences
  Connecting Epilepsy and Alzheimer's Disease: A Computational Modeling Framework

Talks etc in 2015

• Workshop at International Joint Conference on Neural Networks 2015, Killarney, Ireland
  Computational neurology and psychiatry: do we need it?
• http://www.ijcnn.org/tutorials 2015, Killarney, Ireland
  Computational Neuroscience: Past- Present -Future
• Innovations in Collaborative Modeling - Michigan State University::
  ModelingComputational Social Science (tutorial)
• Ebola in Perspective:Our Roles as Global Citizens, Kalamazoo College:
  Modeling Ebola Propagation:Understanding, Prediction, Control

• Great Lakes Bioinformatics Conference 2014
  The Quantitative Systems Pharmacological Approach: Anxiolytic Drugs and Altered Hippocampal Theta Rhythms. Highliht talk
• Great Lakes Bioinformatics Conference 2014
  STOCHASTIC CHEMICAL KINETICS: Theory and Systems Biological Applications; Tutorial
• Florida Atlantic University Neuroscience Seminar Series>
  The Quantitative Systems Pharmacological Approach: Altered Hippocampal Theta Rhythms, Anxiety, Alzheimer Disease

• MTA Reakciókinetikai és Fotokémiai Munkabizottság
  A technológia fejlődés előrejelzése szabadalmi idézetek elemzésével
• MTA Reakciókinetikai és Fotokémiai Munkabizottság
  Dinamikus neurofarmakológia
• From complex systems to dynamic brain theory, Hokkaido University, Sapporo
  Cybernetics, AI, Cognitive Science and Computational Neuroscience: Historical Aspects
• Debreceni Egyetem TTK Kémiai Intézet
  Múltba tekintve, jövő jósolva
• Europen Meeings of Statisticians, Budapest
  Neuropercolation and Related Models of Criticalities
• Dynamic Brain Forum, Sigtuna, Sweden: Anxiolytic drugs and altered hippocampal theta rhythms: The quantitative systems pharmacological approach
• Science of Success Symposia: Institute of Quantitative Social Science at Harvard University Prediction of Emerging Technologies: Using Patent Citation Networks Analysis

• York Centre for Complex Systems Analysis Dynamics of Complex Systems
• Memorial conference on the occasion of 100th birthday of JÁNOS SZENTÁGOTHAI (1912-1994) Consulate General of Hungary New York City) Reconciling the Irreconcilable: Selforganization versus Downward Causation
• IAS Fellow's Public Lecture: Looking into the Past - Predicting the Future
• Dynamic Brain forum, Carmona, Spain Invited lecture: Towards a Computational Psychiatry
• Summer School, Achievements and Applications of Contemporary Informatics, Mathematics and Physics; Kyiv Polytechnic Institute
• 21st European Meeting on Cybernetics and Systems Research Keynote lecture: Forty years in biocybernetics. Luigi Ricciardi Memorial Lecture
• Univ. Michigan, Quantitative Biology Seminar Functional Disconnectivity in Schizophrenia
• Michigan State University Law School: Prediction of Emerging Technologies Based on Analysis of the U.S. Patent Citation Network

• Hoftsra Univ. CS and Pysch dept common seminar: Computational Psychiatry: A New Discipline
• Conference on Emergent Order, Plymouth, NH: The emergence of new technologies versus the development of the patent system: a possible co-evolutionary mechanism
• Département des systemes d'information, HEC, Univ. Lausanne: Prediction of Emerging Technologies Based on the Analysis of the U.S. Patent Citation Network
• Microsoft, BING, social graph group, Mountain View, Ca.: Prediction of Emerging Technologies Based on the Analysis of the U.S. Patent Citation Network
• Computational Social Science I-II (tutorial IJCNN, San Jose, Ca)
• Int. Conf. On Cognitive Neurodynamics, Niseko, Hokkaido: The schizophrenic brain: A broken hermeneutic circle. : Some insights and results.
• The 2nd Workshop on Data, Text, Web, and Social Network Mining. Univ. Michigan: Prediction of Emerging Technologies Based on Analysis of the U.S. Patent Citation Network video
• Michigan State University- Kalamazoo Center for Medical Studies, Psychiatry: Computational Psychiatry
• The Patent Conference, University of Kansas School of Law: Analysis of the USPTO citation network
• Dow Corning Technical Exchange Society, Midland, MI: Dynamics of Complex Systems
• Dow Chemical Company, Midland, MI: Patent citation networks: analysis: From theory to practice
• Michigan State University, Institute for Cyber Enabled Research: Computational Social Science
• IAS fellow: October - December 2012: Institute of Advanced Study, Durham University, UK Interview
• International Joint Conference on Neural Networks, Dallas, TX - August 4-9, 2013

Research Interests

Computational Neuroscience

Multiple modeling strategies to describe neurodynamic phenomena: single-cell, multi-level, and population models may be set up to study different dynamical neural phenomena. Computational psychiatry, computational neuropharmacology: Budapest Computational Neuroscience Group

Computational Neurology and Psychiatry Peter Erdi, Basabdatta Sen Bhattacharya and Amy L. Cochran (Editors)

Anxiety: A common effect of various types of drugs that reduce behaviors characteristic of anxiety is the reduced frequency of a slow oscillatory activity called hippocampal theta rhythm. The frequency of hippocampal theta rhythm increases linearly with the intensity of electrical stimulation to a region of the brainstem. The reduction of mean frequency and the slope of this linear relationship between stimulation intensity and theta frequency predicts the clinical efficacy of anxiolytic drugs. Combined physiological - computational studies help to uncover neural mechanisms. The purpose of this research was to investigate the mechanisms by which anxiolytics produce this characteristic effect on the slope and intercept of the stimulus-frequency relationship of hippocampal theta.

Schizophrenia: is a complex disease of very diverse symptoms and mostly unknown causes. A possible underlying phenomenon is described by the "disconnection syndrome" hypothesis, when the control signal flow between cortical areas is impaired. We examine dthe differences in the causal connection patterns and strengths between healthy and schizophrenic subjects.

Stochastic Modeling of Gene Expression

Stochastic kinetics of the circular gene hypothesis: feedback effects and protein fluctuations

Computational Social Science

Social network analysis is focused on searching and finding for the patters of people's interaction and has a grand tradition in sociology.

Prediction of technological development Vision: Identification of branches of technologies based on patent citation data Identification of patterns how these branches develop, such as rapid growth, shrinking, split and merges Identification of governing rules that are able to explain the pattern (backtesting) Come up with predictions for the near future: Which are the technologies of tomorrow?

Recently formal models also analyzed the evolution of structure of social and related networks.

Our main intention is to narrow the gap between the two perspectives and build realistic models by incorporating elements taken from both bodies of knowledge

In the news:
New Scientist, June 30th, 2012
Communications of the ACM, September 2012

Books

Péter Érdi and Gábor Lente:Stochastic Chemical Kinetics. Theory and (Mostly) Systems Biological Applications (Springer Series in Synergetics) . Springer, 2014

Péter Érdi: Complexity Explained. Springer, 2007

	Péter Érdi and János Tóth: Mathematical Models of Chemical Reactions: Theory and Applications of Deterministic and Stochastic Models. Princeton University Press
	Michael A Arbib, Péter Érdi and János Szentágothai: Neural Organization: Structure, Function, and Dynamics. The MIT Press

Recent Papers

• P. Érdi: The Cognitive Science of the Ranking Game. In: AIC 2019 Artificial Intelligence and Cognition, CEUR Workshop Proceedings, pp. 63-71, 2019
• Beltz H, Rutledge T, Wadhwa RW, Bruck P, Tobochnik J, Fulop A, Fenyvesi G and Érdi P: Ranking Algorithms: Application for Patent Citation Network. In: Information Quality in Information Fusion and Decision Making, Bosse, Eloi, Rogova, Galina (Eds.): Springer, 2019
• Érdi P: 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
• Matsuzawa T, Zalányi L, Kiss T and Érdi P : Multi-scale modeling of altered synaptic plasticity related to Amyloid beta effects Neural Networks 93(230-139)2017
• Somogyvári Z and Érdi P: From phase transitions to the topological renaissance: Comment on "Topdynamics of Metastable Brains" by Arturo Tozzi et al.> Physics of Life Reviews 21(23-25)2017 http://dx.doi.org/10.1016/j.plrev.2017.05.005
• Érdi P, Matsuzawa T, John T, Kiss T and Zalányi L: Connecting Epilepsy and Alzheimer's Disease: Modeling of Normal and Pathological Rhythmicity and Synaptic Plasticity Related to Amyloid-Beta Effects. In: Érdi P, Bhattacharya BS and Cochran Al (Eds.): Computational Neurology and Psychiatry (Springer Series in Bio-/Neuroinformatics) 1st ed. 2017 Edition, pp 93-119.
• Érdi P, Bhattacharya BS and Cochran Al (Eds.): Computational Neurology and Psychiatry (Springer Series in Bio-/Neuroinformatics) 1st ed. 2017 Edition.
• Érdi P: The Brain-Mind-Computer Trichotomy: Hermeneutic Approach In: AIC 2016 Artificial Intelligence and Cognition 2016. CEUR Workshop Proceedings. Vol-1895. pp. 106-116.
• Somogyvári Z and Érdi 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
• Bruck P, Réthy I, Szente J, Tobochnik J and Érdi P Recognition of Emerging Technology Trends. Class-selective study of citations in the U.S. Patent Citation Network Scientometrics 107(1465-1475)2016
• Kamalaldin K, Salome A and Érdi P Modeling Ebola. Science Progress 99(200-219)2016
• Wadhwa RR, L, Szente J, Négyessy L and : Stochastic kinetics of the circular gene hypothesis: feedback effects and protein fluctuations. Mathematics and Computers in Simulation (2015)
• Érdi P. Teaching Computational Neuroscience. Cognitive Neurodynamics 2015 Oct;9(5):479-85. doi: 10.1007/s11571-015-9340-6.
• Érdi P, John T, Kiss T. and Lever CP: 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
• Érdi P and Bányai M:Introduction to Cognitive Systems. In: Handbook on Computational Intelligence. Ed. Angelov, World Scientific 2015,
• John T, Kiss T, Lever C and Érdi P: 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.
• Gershenson C, Csermely P, Érdi P, Knyazeva H and Laszlo L: The Past, Present and Future of Cybernetics and Systems Research. Systema 1(3), pp. 4-13.
• Jones BD, Zalányi L and Érdi P: 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
• P Érdi, K Makovi, Z. Somogyvári , K Strandburg K, J Tobochnik , P Volf , L Zalányi: Prediction of Emerging Technologies Based on Analysis of the U.S. Patent Citation Network. . Scientometrics 95:225-242 (2013)
• Somogyvári Z, Cserpán D, Ulbert I, Érdi P : Localization of single cell current sources based on extracellular potentials patterns: the spike CSD method. European Journal of Neuroscience 36, 3299-3313 (2012)
• M San Miguel, JH Johnson, J Kertesz, K Kaski, A Díaz-Guilera, RS.MacKay, V Loreto, P Érdi, D Helbing: Challenges in Complex Systems Science. Eur. Phys. J. Special Topics 214, 245-271 (2012)
• M Bányai, B Ujfalussy, V Diwadkar and P Érdi: Impairments in the prefronto-hippocampal interactions explain associative learning deficit in schizophrenia BMC Neuroscience, 12(Suppl 1):93, 2011.
• P Érdi, M Bányai, B Ujfalussy, V Diwadkar: The schizophrenic brain: A broken hermeneutic circle. Some new insights and results The 2011 International Joint Conference on Neural Networks (IJCNN), 2011. San José, CA, USA 3024-3027, 2011.
• Érdi P.: review on Cutsuridis et al. (eds): Perception-action cycle. Models, architectures, and hardware Cognitive Neurodynamics, 5(411-412), 2011
• Bányai M, Diwadkar V, Érdi P: Model-based dynamical analysis of functional disconnection in schizophrenia NeuroImage, 58(3): 870-877, 2011.
• Érdi P: Towards a Post-Keplerian social science: Comments by P. Érdi on the Visioneer white papers by D. Helbing and S. Balietti. European Physical Journal, Special Topics, 195:147-151, 2011.
• Érdi P: Scope and Limits of Predictions by Social Dynamic Models: Crisis, Innovation, Decision Making. Evolutionary and Institutional Economics Review, 7(1): 21-42
• Gore CD, Bányai M, Gray PM, Diwadkar V, Érdi P: Pathological Effects of Cortical Architecture on Working Memory in Schizophrenia. Pharmacopsychiatry 43(Suppl 1)592-597,2010
• P. Érdi, T. Kiss, B. Ujfalussy : Multi-level models. In Hippocampal Microcircuits, eds. Vassilis Cutsuridis, Bruce Graham, Stuart Cobb, and Imre Vida. Springer 2010. pp. 527-554.
• B. Ujfalussy, T Kiss, P. Érdi: Parallel Computational Subunits in Dentate Granule Cells Generate Multiple Place Fields. In PLoS Comput Biol 5(9):e1000500, 2009
• Jones BD, Zalányi L, Baumgartner F and Érdi P: 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
• Drutchas G and Érdi P 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
• Érdi P., Ujfalussy B., Diwadkar V.: The schizophrenic brain: A broken hermeneutic circle. In Neural Network World 19(413-427)2009
• Zsófia Huhn, Zoltán Somogyvári, Tamás Kiss, Péter Érdi: Distance Coding Strategies based on the Entorhinal Grid Cell System. In Neural Networks 22(5-6): 536-543, 2009
• Katherine J. Strandburg, Gábor Csárdi, Jan Tobochnik, Péter Érdi, László Zalányi : Patent citation networks revisited: signs of a twenty-first century change? North Carolina Law Review 87(1657-1698)2009
• VA Diwadkar, B Flaugher, T Jones, Zalányi L, Ujfalussy B, MS Keshavan, Érdi P.: Impaired associative learning in schizophrenia: Behavioral and computational studies. Cognitive Neurodynamics 2(207-219)(2008)
• Érdi P, VA Diwadkar, Ujfalussy B.: 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
• P. Érdi, B. Ujfalussy, L. Zalányi, VA. Diwadkar: 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
• Csárdi G, KJ Strandburg, J Tobochnik, Érdi P.: The inverse problem of evolving networks - with application to social nets. Chapter 10 in Handbook of Large-Scale Random Networks, eds.: Béla Bollobás, Róbert Kozma, Dezső Miklós. Springer-Verlag
• B. Ujfalussy, T. Kiss, G. Orbán, WE. Hoffmann, P. Érdi and M. Hajós: Pharmacological and Computational Analysis of alpha-subunit Preferential GABAA Positive Allosteric Modulators on the Rat Septo-Hippocampal Activity. Neuropharmacology 52(3) (2007) 733-743
• G. Csárdi, KJ. Strandburg, L. Zalányi, J. Tobochnik, P. Érdi: Modeling innovation by a kinetic description of the patent citation system Physica A: Statistical and Theoretical Physics 374(1-2) (2007) 783-793
• Strandburg KJ, Csárdi G, Tobochnik J, Érdi P, Zalányi 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
• G. Orbán, T. Kiss and P. Érdi: Intrinsic and synaptic mechanisms determining the timing of neuron population activity during hippocampal theta oscillation. Journal of Neurophysiology 96(6) (2006) 2889-2904
• Érdi P, Kiss T, Tóth J, Ujfalussy B and Zalányi L: From systems biology to dynamical neuropharmacology: Proposal for a new methodology. IEE Proceedings in Systems Biology 153(4) 299-308 (2006)
• I. Aradi and P. Érdi: Computational neuropharmacology: dynamical approaches in drug discovery. Trends in Pharmacological Sciences 27(5) (2006) 240-243
• T. Kiss and P. Érdi: From electric patterns to drugs: perspectives of computational neuroscience in drug design. BioSystems 86(1-3) 46-52 (2006)
• P. Érdi and J. Tóth: Towards a dynamic neuropharmacology: Integrating network and receptor levels. In: Brain, Vision and Artifical Intelligence. M. De Gregorio, V. Di Maio, M. Frucci and C. Musio (eds). Lecture Notes in Computer Science 3704, Springer, Berlin Helidelberg 2005, pp. 1-14.
• Zs. Huhn, G. Orbán, P. Érdi, M. Lengyel Theta oscillation-coupled dendritic spiking integrates inputs on a long time scale Hippocampus 15(7) (2005) 950-962
• P. Érdi, Zs. Huhn, T. Kiss: Hippocampal theta rhythms from a computational perspective: code generation, mood regulation and navigation Neural Networks 18(9) (2005) 1202-1211
• Z. Somogyvári, L. Zalányi, I. Ulbert, P. Érdi : Model-based source localization of extracellular action potentials. Journal of Neuroscience Methods 147(2) (2005) 126-137
• Zs. Huhn, M. Lengyel, G. Orbán, P. Érdi: Dendritic spiking accounts for rate and phase coding in a biophysical model of a hippocampal cell. Neurocomputing 65-66 (2005) 331-341
• Kiss T, Orbán G and Érdi P: Modelling hippocampal theta oscillation: applications in neuropharmacology and robot navigation. International Journal of Intelligent Systems 21(9) (2006) 903-917 (2006)
• P. Érdi: Nonlinear Spatio-temporal Neural Dynamics - Experiments and Theoretical Models, Editorial Biol Cybern 92(6) 349-349 (2005)
• M. Lengyel, Zs. Huhn, P. Érdi: Computational theories on the function of theta oscillation Biol Cybern 92(6) 393-408 (2005)
• R. Kozma, W.J. Freeman, D. Wong, P. Érdi: Learning environmental clues in the KIV model of the cortico-hippocampal formation Neurocomputing 58-60 (2004) 721-728
• G. Papp, Zs. Huhn, M. Lengyel, P. Érdi: Effect of dendritic location and different components of LTP expression on the bursting activity of hippocampal CA1 pyramidal cells Neurocomputing 58-60 (2004) 691-697
• M. Lengyel, P. Érdi: Theta modulated feed-forward network generates rate and phase coded firing in the entorhino-hippocampal system IEEE Transactions on Neural Networks 15 (2004) 1092-1099
• M. Hajós, WE. Hoffmann, G. Orbán, T. Kiss, P. Érdi: Modulation of septo-hippocampal theta activity by GABAA receptors: Experimental and computational approach Neuroscience 126/3 (2004) 599-610
• L. Zalányi, G. Csárdi, T. Kiss, M. Lengyel, R. Warner, J. Tobochnik, P. Érdi: Properties of a random attachment growing network Physical Review E 68 066104 (2003)
• M. Lengyel, Z. Szatmáry, P. Érdi: Dynamically detuned oscillations account for the coupled rate and temporal code of place cell firing. Hippocampus 13 (2003) 700-714
• Cs. Földy, Z. Somogyvári, P. Érdi: Hierarchically Organized Minority Games. Physica A, 323 (2003) 735-742
• R. Kozma, WJ. Freeman, P. Érdi: The KIV Model - Nonlinear Spatio-Temporal Dynamics of the Primordial Vertberate Forebrain. Neurocomputing, 52-54 (2003) 819-826

Teaching

Péter Érdi teaches courses on different interdisciplinary topics:

• The first goal of the Introduction to Nonlinear Dynamics and Chaos course is to teach WHY nonlinear dynamics and chaos theory are important in understanding complicated behaviors. The second goal is to give an introductory overview about HOW the basic methods of nonlinear dynamics work.
• At the Introduction to Cognitive Science course topics of information processing, intelligent systems, complex cognition, and lareg-scale computation are discussed from an interdisciplinary point of view.
• The Introduction to Complex Systems course discusses how collective behavior emerges from the parts of a system, due to the interaction between the system and its environment.
• The Computational Neuroscience course discusses mathematical models, computational algorithms, and simulation methods that contribute to our understanding of neural mechanisms.
• The Dynamic Models in Social Sciences course discusses WHY mathematical and computational methods are important in understanding social phenomena, and HOW different social phenonemena an be described by proper mathematical models.
• A course titled John von Neumann, the Birth of the Computer, Atomic Bombs and Game Theory is offered to celebrate the centenary of the birth of John von Neumann. The class will discuss Neumann's life in historical context. You will increase your knowledge of the intellectual life in Central Europe around the turn of the last century.