Dr Balazs Ujfalussy B

Balazs Ujfalussy

University position

Research Associate


Department of Engineering

Research Theme

Systems and Computational Neuroscience


Balazs was working in Cambridge between 2011 ans 2015 with Maté Lengyel (University of Cambridge) and Tiago Branco (MRC LMB). As a postdoc with Máté Lengyel he realised that efficient computations on realistic spiking inputs require nonlinear input-integration within the postsynaptic dendritic tree. He showed that optimal dendritic integration depends on the statistics of the input and derived functional link between input statistics and dendritic integration. In collaboration with Judit Makara and Tiago Branco he tested this prediction in hippocampal and neocortical neurons.

Research Focus


None specified

Clinical conditions

No direct clinical relevance


No equipment indicated



Tiago Branco

Mate Lengyel

Associated News Items



    Samu D, Eros P, Ujfalussy B, Kiss T (2009), “Robust path integration in the entorhinal grid cell system with hippocampal feed-back.” Biol Cybern 101(1):19-34 Details

    Ujfalussy B, Kiss T, Erdi P (2009), “Parallel computational subunits in dentate granule cells generate multiple place fields.” PLoS Comput Biol 5(9):e1000500 Details


    Diwadkar VA, Flaugher B, Jones T, Zalányi L, Ujfalussy B, Keshavan MS, Erdi P (2008), “Impaired associative learning in schizophrenia: behavioral and computational studies.” Cogn Neurodyn 2(3):207-19 Details


    Ujfalussy B, Kiss T, Orbán G, Hoffmann WE, Erdi P, Hajós M (2007), “Pharmacological and computational analysis of alpha-subunit preferential GABA(A) positive allosteric modulators on the rat septo-hippocampal activity.” Neuropharmacology 52(3):733-43 Details


    Erdi P, Kiss T, Tóth J, Ujfalussy B, Zalányi L (2006), “From systems biology to dynamical neuropharmacology: proposal for a new methodology.” Syst Biol (Stevenage) 153(4):299-308 Details

    Ujfalussy B, Kiss T (2006), “How do glutamatergic and GABAergic cells contribute to synchronization in the medial septum?” J Comput Neurosci 21(3):343-57 Details