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Dive into the research topics where Gergo Orban is active.

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Featured researches published by Gergo Orban.


Biological Cybernetics | 2001

Hippocampal rhythm generation: Gamma-related theta-frequency resonance in CA3 interneurons

Gergo Orban; Tamás Kiss; Máté Lengyel; Péter Érdi

Abstract. During different behavioral states different population activities are present in the hippocampal formation. These activities are not independent: sharp waves often occur together with high-frequency ripples, and gamma-frequency activity is usually superimposed on theta oscillations. There is both experimental and theoretical evidence supporting the notion that gamma oscillation is generated intrahippocampally, but there is no generally accepted view about the origin of theta waves. Precise timing of population bursts of pyramidal cells may be due to a synchronized external drive. Membrane potential oscillations recorded in the septum are unlikely to fulfill this purpose because they are not coherent enough. We investigated the prospects of an intrahippocampal mechanism supplying pyramidal cells with theta frequency periodic inhibition, by studying a model of a network of hippocampal inhibitory interneurons. As shown previously, interneurons are capable of generating synchronized gamma-frequency action potential oscillations. Exciting the neurons by periodic current injection, the system could either be entrained in an oscillation with the frequency of the inducing current or exhibit in-phase periodic changes at the frequency of single cell (and network) activity. Simulations that used spatially inhomogeneous stimulus currents showed anti-phase frequency changes across cells, which resulted in a periodic decrease in the synchrony of the network. As this periodic change in synchrony occurred in the theta frequency range, our network should be able to exhibit the theta-frequency weakening of inhibition of pyramidal cells, thus offering a possible mechanism for intrahippocampal theta generation.


international symposium on neural networks | 2004

Dendritic spiking accounts for rate and phase coding in a biophysical model of a hippocampal place cell

Zsófia Huhn; Máté Lengyel; Gergo Orban; Péter Érdi

Hippocampal place cells provide prototypical examples of neurons firing jointly phase and rate coded spike trains. We propose a biophysical mechanism accounting for the generation of place cell firing at the single neuron level. An interplay between external theta-modulated excitation impinging the dendrite and intrinsic dendritic spiking as well as between frequency modulated dendritic spiking and periodic somatic hyperpolarization was a key element of the model. Through these interactions robust phase and rate coded firing emerged in the model place cell, reproducing salient experimentally observed properties of place cell firing.


Hippocampus | 2005

Theta oscillation‐coupled dendritic spiking integrates inputs on a long time scale

Zsófia Huhn; Gergo Orban; Péter Érdi; Máté Lengyel


arXiv: Neurons and Cognition | 2013

How (not) to assess the importance of correlations for the matching of spontaneous and evoked activity

József Fiser; Máté Lengyel; Cristina Savin; Gergo Orban; Pietro Berkes


Frontiers in Computational Neuroscience | 2009

Matching spontaneous and evoked activity in V1: a hallmark of probabilistic inference

Máté Lengyel; Pietro Berkes; Gergo Orban; József Fiser


Proceedings of the Annual Meeting of the Cognitive Science Society | 2006

Learning Objects by Learning Models: Finding Independent Causes and Preferring Simplicity

Richard N. Aslin; Jozesef Fiser; Máté Lengyel; Gergo Orban


arXiv: Neurons and Cognition | 2016

Grand Challenges for Global Brain Sciences

Joshua T. Vogelstein; Katrin Amunts; Andreas Andreou; Dora Angelaki; Giorgio Ascoli; Cori Bargmann; Randal Burns; Corrado Cali; Frances Chance; Miyoung Chun; George M. Church; Hollis Cline; Todd Coleman; Stephanie de La Rochefoucauld; Winfried Denk; Ana Belen Elgoyhen; Ralph Etienne Cummings; Alan Evans; Kenneth Harris; Michael Hausser; Sean Hill; Samuel Inverso; Chad Jackson; Viren Jain; Rob Kass; Bobby Kasthuri; Gregory Kiar; Konrad P. Körding; Sandhya Koushika; John Krakauer


Journal of Vision | 2010

Coarse-to-fine learning in scene perception: Bayes trumps Hebb

József Fiser; Gergo Orban; Máté Lengyel; Richard N. Aslin


Journal of Vision | 2010

What eye-movements tell us about online learning of the structure of scenes

Maolong Cui; Gergo Orban; Máté Lengyel; Jósef Fiser


Journal of Vision | 2010

Linking implicit chunk learning and the capacity of working memory

József Fiser; Gergo Orban; Máté Lengyel

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József Fiser

Central European University

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Péter Érdi

Hungarian Academy of Sciences

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Tamás Kiss

Hungarian Academy of Sciences

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Zsófia Huhn

Hungarian Academy of Sciences

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