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, Science Faculty of the Eötvös L. University, 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 Click here for a detailed CV Member of the Editorial and Programme Advisory Board of the Springer Complexity publishing program Member of the Executive Commitee of the European Neural Network 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 Co-Director of BSCS - Budapest Semester in Cognitive Science Member of the Editorial Board of the Nonlinear Biomedical Physics Open Access Journal

Picture taken in January, 2002 Picture taken in February, 2008

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: Budapest Computational Neuroscience Group

Social Systems as Complex Interactive Networks

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

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

Lecture held in Kalamazoo College (2001 February).

New Book!

Péter Érdi: Complexity Explained. Springer, 2007

Recent Papers

• 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 (accepted for publication)
• 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
• 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

• 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.