Emili Balaguer-Ballester

Dr Emili Balaguer-Ballester

  • Associate Professor In Computational Neuroscience
  • Poole House P303b, Talbot Campus, Fern Barrow, Poole, BH12 5BB
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Biography

My work stands at the interface between Computational Neuroscience and Machine Learning (neural dynamics reconstruction, ensemble modelling, data-driven model discovery, auditory system models) through collaborations with human and animal neurophysiology labs. I actively co-champion the Interdisciplinary Neuroscience Research Centre at Bournemouth University. I have been an Associate Professor for Bournemouth University since 2017 (Senior Lecturer/Lecturer, 2012-2017), Editor of Plos Computational Biology and Frontiers in Computational Neuroscience, and a Senior Fellow of the Higher Education Academy. I was a project leader at the Bernstein Centre for Computational Neuroscience Heidelberg-Mannheim (2008-2012) at Durstewitz lab, a Postdoc at Denham lab (Plymouth 2005-2008), and a research fellow of the Spanish Science Ministry (2001-2005). My PhD dissertation (2001, University of Valencia) received the Culture Institute ‘Juan Gil-Albert’ (Spain) prize.

Research

My research directions include:

o Cortical network dynamics in-vivo and in-vitro, in collaboration with Maria Victoria Sanchez-Vives (IDIBAPS, University of Barcelona) and Maurizio Mattia (ISS, Rome). Previously, I worked with Daniel Durstewitz (Heidelberg University), Ruben Moreno-Bote (Universitat Pompeu Fabra), Christopher Lapish (Indiana Purdue University), Jeremy Seamans (University of British Columbia) and James Hyman (University of Nevada). In our projects, we develop approaches for understanding the neuronal dynamics underlying spontaneous and elicited cortical activity states. These are fundamental questions in neuroscience which, in addition, provide the basis for discerning physiological from altered brain dynamics.

o Modelling mesoscopic responses of the human auditory cortex during pitch perception. In this area, I collaborate with Andre Rupp (Heidelberg University) and Sue Denham (Plymouth University); and previously with Ray Meddis (Essex University) and Katrin Krumbholz (University of Nottingham). We focused on the analysis of bi-directional interactions in pitch processing using MEG recordings. These foundation projects are helpful, for instance, for a future better understanding of auditory processing disorders.

o Multidisciplinary projects on higher-order cognition include studies on emotional and immersive sates in VR in collaboration with Ellen Seiss, Xun He and Fred Charles (Bournemouth University); Jesus Barcias and Aris Michailidis (Sony London), Ifigeneia Mavridou and Charles Nduka (Emteq, Brighton)...

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Favourites

Journal Articles

Books

  • Metastable Dynamics of Neural Ensembles. Lausanne: Frontiers Media.
  • Balaguer-Ballester, E., 2014. Prediction of surface ozone concentrations in Valencia Community using linear models and neural networks. Valencia: Universty of Valencia Press.

Chapters

  • Michailidis, L., Lucas Barcias, J., Charles, F., He, X., Balaguer-Ballester, E., 2019. Combining Personality and Physiology to Investigate the Flow Experience in Virtual Reality Games. In: Stephanidis, C., eds. HCI International 2019. Berlin: Springer, 45-52.
  • Mavridou, I., Seiss, E., Kostoulas, T., Nduka, C., Balaguer-Ballester, E., 2018. Towards an effecve arousal detecon system for virtual reality.
  • Mavridou, I., Seiss, E., Hamedi, M., Balaguer-Ballester, E.M.I.L.I., Nduka, C., 2018. Towards valence detection from EMG for Virtual Reality applications. ICDVRAT.
  • Sharpee, T.O., Destexhe, A., Kawato, M., Sekulić, V., Skinner, F.K., Wójcik, D.K., Chintaluri, C., Cserpán, D., Somogyvári, Z., Kim, J.K., Kilpatrick, Z.P., Bennett, M.R., Josić, K., Elices, I., Arroyo, D., Levi, R., Rodriguez, F.B., Varona, P., Hwang, E., Kim, B., Han, H.-B., Kim, T., McKenna, J.T., Brown, R.E., McCarley, R.W., Choi, J.H., Rankin, J., Popp, P.O., Rinzel, J., Tabas, A., Rupp, A., Balaguer-Ballester, E., Maturana, M.I., Grayden, D.B., Cloherty, S.L., Kameneva, T., Ibbotson, M.R., Meffin, H., Koren, V., Lochmann, T., Dragoi, V., Obermayer, K., Psarrou, M., Schilstra, M., Davey, N., Torben-Nielsen, B., Steuber, V., Ju, H., Yu, J., Hines, M.L., Chen, L., Yu, Y., Kim, J., Leahy, W., Shlizerman, E., Birgiolas, J., Gerkin, R.C., Crook, S.M., Viriyopase, A., Memmesheimer, R.-M., Gielen, S., Dabaghian, Y., DeVito, J., Perotti, L., Kim, A.J., Fenk, L.M., Cheng, C., Maimon, G., Zhao, C., Widmer, Y., Sprecher, S., Senn, W., Halnes, G., Mäki-Marttunen, T., Keller, D., Pettersen, K.H., Andreassen, O.A., Einevoll, G.T., Yamada, Y., Steyn-Ross, M.L., Alistair Steyn-Ross, D., Mejias, J.F., Murray, J.D., Kennedy, H., Wang, X.-J., Kruscha, A., Grewe, J., Benda, J., Lindner, B., Badel, L., Ohta, K., Tsuchimoto, Y., Kazama, H., Kahng, B., Tam, N.D., Pollonini, L., Zouridakis, G., Soh, J., Kim, D., Yoo, M., Palmer, S.E., Culmone, V., Bojak, I., Ferrario, A., Merrison-Hort, R., Borisyuk, R., Kim, C.S., Tezuka, T., Joo, P., Rho, Y.-A., Burton, S.D., Bard Ermentrout, G., Jeong, J., Urban, N.N., Marsalek, P., Kim, H.-H., Moon, S.-H., Lee, D.-W., Lee, S.-B., Lee, J.-Y., Molkov, Y.I., Hamade, K., Teka, W., Barnett, W.H., Kim, T., Markin, S., Rybak, I.A., Forro, C., Dermutz, H., Demkó, L., Vörös, J., Babichev, A., Huang, H., Verduzco-Flores, S., Dos Santos, F., Andras, P., Metzner, C., Schweikard, A., Zurowski, B., Roach, J.P., Sander, L.M., Zochowski, M.R., Skilling, Q.M., Ognjanovski, N., Aton, S.J., Zochowski, M., Wang, S.-J., Ouyang, G., Guang, J., Zhang, M., Michael Wong, K.Y., Zhou, C., Robinson, P.A., Sanz-Leon, P., Drysdale, P.M., Fung, F., Abeysuriya, R.G., Rennie, C.J., Zhao, X., Choe, Y., Yang, H.-F., Mi, Y., Lin, X., Wu, S., Liedtke, J., Schottdorf, M., Wolf, F., Yamamura, Y., Wickens, J.R., Rumbell, T., Ramsey, J., Reyes, A., Draguljić, D., Hof, P.R., Luebke, J., Weaver, C.M., He, H., Yang, X., Ma, H., Xu, Z., Wang, Y., Baek, K., Morris, L.S., Kundu, P., Voon, V., Agnes, E.J., Vogels, T.P., Podlaski, W.F., Giese, M., Kuravi, P., Vogels, R., Seeholzer, A., Podlaski, W., Ranjan, R., Vogels, T., Torres, J.J., Baroni, F., Latorre, R., Gips, B., Lowet, E., Roberts, M.J., de Weerd, P., Jensen, O., van der Eerden, J., Goodarzinick, A., Niry, M.D., Valizadeh, A., Pariz, A., Parsi, S.S., Warburton, J.M., Marucci, L., Tamagnini, F., Brown, J., Tsaneva-Atanasova, K., Kleberg, F.I., Triesch, J., Moezzi, B., Iannella, N., Schaworonkow, N., Plogmacher, L., Goldsworthy, M.R., Hordacre, B., McDonnell, M.D., Ridding, M.C., Zapotocky, M., Smit, D., Fouquet, C., Trembleau, A., Dasgupta, S., Nishikawa, I., Aihara, K., Toyoizumi, T., Robb, D.T., Mellen, N., Toporikova, N., Tang, R., Tang, Y.-Y., Liang, G., Kiser, S.A., Howard, J.H., Goncharenko, J., Voronenko, S.O., Ahamed, T., Stephens, G., Yger, P., Lefebvre, B., Spampinato, G.L.B., Esposito, E., et Olivier Marre, M.S., Choi, H., Song, M.-H., Chung, S., Lee, D.D., Sompolinsky, H., Phillips, R.S., Smith, J., Chatzikalymniou, A.P., Ferguson, K., Alex Cayco Gajic, N., Clopath, C., Angus Silver, R., Gleeson, P., Marin, B., Sadeh, S., Quintana, A., Cantarelli, M., Dura-Bernal, S., Lytton, W.W., Davison, A., Li, L., Zhang, W., Wang, D., Song, Y., Park, S., Choi, I., Shin, H.-S., Choi, H., Pasupathy, A., Shea-Brown, E., Huh, D., Sejnowski, T.J., Vogt, S.M., Kumar, A., Schmidt, R., Van Wert, S., Schiff, S.J., Veale, R., Scheutz, M., Lee, S.W., Gallinaro, J., Rotter, S., Rubchinsky, L.L., Cheung, C.C., Ratnadurai-Giridharan, S., Shomali, S.R., Ahmadabadi, M.N., Shimazaki, H., Nader Rasuli, S., Zhao, X., Rasch, M.J., Wilting, J., Priesemann, V., Levina, A., Rudelt, L., Lizier, J.T., Spinney, R.E., Rubinov, M., Wibral, M., Bak, J.H., Pillow, J., Zaho, Y., Park, I.M., Kang, J., Park, H.-J., Jang, J., Paik, S.-B., Choi, W., Lee, C., Song, M., Lee, H., Park, Y., Yilmaz, E., Baysal, V., Ozer, M., Saska, D., Nowotny, T., Chan, H.K., Diamond, A., Herrmann, C.S., Murray, M.M., Ionta, S., Hutt, A., Lefebvre, J., Weidel, P., Duarte, R., Morrison, A., Lee, J.H., Iyer, R., Mihalas, S., Koch, C., Petrovici, M.A., Leng, L., Breitwieser, O., Stöckel, D., Bytschok, I., Martel, R., Bill, J., Schemmel, J., Meier, K., Esler, T.B., Burkitt, A.N., Kerr, R.R., Tahayori, B., Nolte, M., Reimann, M.W., Muller, E., Markram, H., Parziale, A., Senatore, R., Marcelli, A., Skiker, K., Maouene, M., Neymotin, S.A., Seidenstein, A., Lakatos, P., Sanger, T.D., Menzies, R.J., McLauchlan, C., van Albada, S.J., Kedziora, D.J., Neymotin, S., Kerr, C.C., Suter, B.A., Shepherd, G.M.G., Ryu, J., Lee, S.-H., Lee, J., Lee, H.J., Lim, D., Wang, J., Lee, H., Jung, N., Anh Quang, L., Maeng, S.E., Lee, T.H., Lee, J.W., Park, C.-H., Ahn, S., Moon, J., Choi, Y.S., Kim, J., Jun, S.B., Lee, S., Lee, H.W., Jo, S., Jun, E., Yu, S., Goetze, F., Lai, P.-Y., Kim, S., Kwag, J., Jang, H.J., Filipović, M., Reig, R., Aertsen, A., Silberberg, G., Bachmann, C., Buttler, S., Jacobs, H., Dillen, K., Fink, G.R., Kukolja, J., Kepple, D., Giaffar, H., Rinberg, D., Shea, S., Koulakov, A., Bahuguna, J., Tetzlaff, T., Kotaleski, J.H., Kunze, T., Peterson, A., Knösche, T., Kim, M., Kim, H., Park, J.S., Yeon, J.W., Kim, S.-P., Kang, J.-H., Lee, C., Spiegler, A., Petkoski, S., Palva, M.J., Jirsa, V.K., Saggio, M.L., Siep, S.F., Stacey, W.C., Bernar, C., Choung, O.-H., Jeong, Y., Lee, Y.-I., Kim, S.H., Jeong, M., Lee, J., Kwon, J., Kralik, J.D., Jahng, J., Hwang, D.-U., Kwon, J.-H., Park, S.-M., Kim, S., Kim, H., Kim, P.S., Yoon, S., Lim, S., Park, C., Miller, T., Clements, K., Ahn, S., Ji, E.H., Issa, F.A., Baek, J., Oba, S., Yoshimoto, J., Doya, K., Ishii, S., Mosqueiro, T.S., Strube-Bloss, M.F., Smith, B., Huerta, R., Hadrava, M., Hlinka, J., Bos, H., Helias, M., Welzig, C.M., Harper, Z.J., Kim, W.S., Shin, I.-S., Baek, H.-M., Han, S.K., Richter, R., Vitay, J., Beuth, F., Hamker, F.H., Toppin, K., Guo, Y., Graham, B.P., Kale, P.J., Gollo, L.L., Stern, M., Abbott, L.F., Fedorov, L.A., Giese, M.A., Ardestani, M.H., Faraji, M.J., Preuschoff, K., Gerstner, W., van Gendt, M.J., Briaire, J.J., Kalkman, R.K., Frijns, J.H.M., Lee, W.H., Frangou, S., Fulcher, B.D., Tran, P.H.P., Fornito, A., Gliske, S.V., Lim, E., Holman, K.A., Fink, C.G., Kim, J.S., Mu, S., Briggman, K.L., Sebastian Seung, H., the EyeWirers, Wegener, D., Bohnenkamp, L., Ernst, U.A., Devor, A., Dale, A.M., Lines, G.T., Edwards, A., Tveito, A., Hagen, E., Senk, J., Diesmann, M., Schmidt, M., Bakker, R., Shen, K., Bezgin, G., Hilgetag, C.-C., van Albada, S.J., Sun, H., Sourina, O., Huang, G.-B., Klanner, F., Denk, C., Glomb, K., Ponce-Alvarez, A., Gilson, M., Ritter, P., Deco, G., Witek, M.A.G., Clarke, E.F., Hansen, M., Wallentin, M., Kringelbach, M.L., Vuust, P., Klingbeil, G., De Schutter, E., Chen, W., Zang, Y., Hong, S., Takashima, A., Zamora, C., Gallimore, A.R., Goldschmidt, D., Manoonpong, P., Karoly, P.J., Freestone, D.R., Soundry, D., Kuhlmann, L., Paninski, L., Cook, M., Lee, J., Fishman, Y.I., Cohen, Y.E., Roberts, J.A., Cocchi, L., Sweeney, Y., Lee, S., Jung, W.-S., Kim, Y., Jung, Y., Song, Y.-K., Chavane, F., Soman, K., Muralidharan, V., Srinivasa Chakravarthy, V., Shivkumar, S., Mandali, A., Pragathi Priyadharsini, B., Mehta, H., Davey, C.E., Brinkman, B.A.W., Kekona, T., Rieke, F., Buice, M., De Pittà, M., Berry, H., Brunel, N., Breakspear, M., Marsat, G., Drew, J., Chapman, P.D., Daly, K.C., Bradle, S.P., Seo, S.B., Su, J., Kavalali, E.T., Blackwell, J., Shiau, L., Buhry, L., Basnayake, K., Lee, S.-H., Levy, B.A., Baker, C.I., Leleu, T., Philips, R.T., Chhabria, K., 2016. 25th Annual Computational Neuroscience Meeting: CNS-2016. 54.
  • Tabas, A., Rupp, A., Balaguer-Ballester, E., 2016. Competition between cortical ensembles explains pitch-related dynamics of auditory evoked fields. 314-321.
  • Tabas, A., Balaguer-Ballester, E., Rupp, A., 2015. A realistic model of pitch explains the N100m morphology evoked by dyads. P213.
  • Tabas-Diaz, A., Balaguer-Ballester, E., Igual, E., 2014. Spatial Discriminant ICA for Resting-State-fMRI characterisation. Pattern Recognition in Neuroimaging. IEEE Conference Publishing Services, In press.
  • Tabas, Igual, L., Balaguer-Ballester, E., 2014. Spatial Discriminant ICA for RS-fMRI characterisation. Pattern Recognition in Neuroimaging Conference 2014. IEEE XPLore Publications.
  • Tabas, A., Balaguer-Ballester, E., Pressnitzer, D., Siebert, A., Rupp, A., 2014. Hierarchical processing of temporal asymmetry in human auditory cortex.
  • Balaguer-Ballester, E., 2013. Nonlinear Time Series Analyses in Industrial Environments and Limitations for Highly Sparse Data. Smart Innovation, Systems and Technologies. Springer.
  • Balaguer-Ballester E., Bouchachia, H, Jiang, B. and Denham, SL, 2012. Neurodynamical Top-Down Processing during Auditory Attention. Lecture Notes in Computer Science. Springer, In press.
  • Denham, M., 2010. Neurocomputational models of perceptual organization. In ’Unconscious memory representations in perception: Processes and mechanisms in the brain’ in the series ‘Advances in Consciousness’, Winkler, I. and Czigler, I., Eds. John Benjamin’s, NY.
  • Denham, M., 2010. Neurocomputational models of perceptual organization. John Benjamin’s, NY.
  • Balaguer-Ballester, E., Clark, N., Coath, M., Krumbholz, K. and Denham, S. L., 2010. Understanding pitch perception as a hierarchical process with feedback modulation. Auditory Physiology, Perception and Models. Springer, NY.
  • Martín-Guerrero, J., Balaguer-Ballester, E., Camps-Valls, G., Palomares, A., Serrano-López, A., Gómez-Sanchís, J., Soria-Olivas, E., 2004. Machine learning methods for one-session ahead prediction of accesses to page categories. Lecture Notes in Computer Science, Springer, 421-445.
  • Martín-Guerrero, J., 2003. A pseudo-supervised approach to improve a recommender based on collaborative filtering. Springer, 145.
  • Balaguer-Ballester, S., 2001. Prediction of surface ozone concentrations 24 hours in advance using neural networks. In ‘Advances in Neural Networks and Applications’. WSES press, NY.

Conferences

  • Dimanov, D., Singleton, C., Rostami, S., Balaguer-Ballester, E., 2024. RAMOSS - Resource Aware Multi-Objective Semantic Segmentation Through Neuroevolution. ADVANCES IN COMPUTATIONAL INTELLIGENCE SYSTEMS, UKCI 2022, 1454, 526-538.
  • Dimanov, D., Singleton, C., Rostami, S., Balaguer-Ballester, E., 2023. MEOW: - Automatic Evolutionary Multi-Objective Concealed Weapon Detection. Proceedings of Machine Learning Research, 228.
  • Gnacek, M., Mavridou, I., Broulidakis, J., Nduka, C., Balaguer-Ballester, E., Kostoulas, T., Seiss, E., 2022. AVDOS-Affective Video Database Online Study Video database for affective research emotionally validated through an online survey. 2022 10th International Conference on Affective Computing and Intelligent Interaction Acii 2022.
  • Gnacek, M., Seiss, E., Kostoulas, T., Balaguer-Ballester, E., Mavridou, I., Nduka, C., 2021. Remote Collection of Physiological Data in a Virtual Reality Study. In: CHI 21 15/05/2021 XR Remote Research Workshop.
  • Dimanov, D., Balaguer-Ballester, E., Rostami, S., Singleton, C., 2021. MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders. In: ICLR2021,2nd Workshop on Neural Architecture Search (NAS 21). 07/05/2021 Online.
  • Arango, R., Mateos-Aparicio, P., Sanchez-Vives, M.V., Balaguer-Ballester, E., 2021. Emergence and propagation of asynchronous states of spontaneous cortical activity. JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 49 (SUPPL 1), S33-S34.
  • Balaguer-Ballester, E., Nogueira, R., Abolafia, J.M., Moreno-Bote, R., Sanchez-Vives, M.V., 2021. Stability and predictability code in higher-order neuronal correlations. JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 49 (SUPPL 1), S164.
  • Gnacek, M., Garrido-Leal, D., Nieto Lopez, R., Seiss, E., Kostoulas, T., Balaguer-Ballester, E., Mavridou, I., Nduka, C., 2020. Heart rate detection from the supratrochlear vessels using a virtual reality headset integrated PPG sensor. Icmi 2020 Companion Companion Publication of the 2020 International Conference on Multimodal Interaction, 210-214.
  • Arango, R., Mateos-Aparicio, P., Perez-Mendez, L., Sanchez-Vives, M.-V., Balaguer-Ballester, E., 2020. Inference of the stability of global states in cortical networks. In: Barcelona Computational, Cognitive and Systems Neuroscience 15/07/2017 Barcelona.
  • Heydari, M., Mylonas, A., Katos, V., Balaguer-Ballester, E., Altaf, A., Tafreshi, V.H.F., 2020. Uncertainty-aware authentication model for IoT. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 11980 LNCS, 224-237.
  • Heydari, M., Mylonas, A., Katos, V., Balaguer-Ballester, E., Tafreshi, V.H.F., Benkhelifa, E., 2019. A Location-Aware Authentication Model to Handle Uncertainty in IoT. 2019 6th International Conference on Internet of Things Systems Management and Security Iotsms 2019, 43-50.
  • Mavridou, I., Seiss, E., Kostoulas, T., Hamedi, M., Balaguer-Ballester, E., Nduka, C., 2019. Introducing the EmteqVR Interface for Affect Detection in Virtual Reality. 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos Aciiw 2019, 83-84.
  • Mavridou, I., Seiss, E., Balaguer-Ballester, E., Kostoulas, T., Perry, M., 2019. Emerging Affect Detection Methodologies in VR and future directions. In: VRIC 20/03/2019 Laval, France.
  • Arango, R., Mateos-Aparicio, P., Sanchez-Vives, M.V., Balaguer-Ballester, E., 2019. Propagating Densities of Spontaneous Activity in Cortical Slices. In: The 28th Computational Neuroscience Conference (CNS) 13/07/2019 Barcelona.
  • Heydari, M., Mylonas, A., Katos, V., Balaguer-Ballester, E., Tafreshi, V.H.F., Benkhelifa, E., 2019. Uncertainty-aware authentication model for fog computing in IoT. 2019 4th International Conference on Fog and Mobile Edge Computing Fmec 2019, 52-59.
  • Michailidis, L., Lucas Barcias, J., Charles, F., He, X., Balaguer-Ballester, E., 2019. Combining Personality and Physiology to Investigate the Flow Experience in Virtual Reality Games. Communications in Computer and Information Science, 1033, 45-52.
  • Arango, R., Mateos-Aparicio, P., Sanchez-Vives, M.V., Balaguer-Ballester, E., 2018. Identifying Propagation Modes of Spontaneous Activity in Cortical Slices. In: Bernstein computational Neuroscience Conference 25/09/2018 Berlin.
  • Arango, R., Mateos-Aparicio, P., Sanchez-Vives, M.V., Balaguer-Ballester, E., 2018. Transient Dynamics of Cortical Networks Underpinning Slow Oscillations. In: Analysis and Modeling of Complex Oscillatory Systems Conference (AMCOS) 19/03/2020 Barcelona.
  • Fatoorechi, M., Archer, J., Nduka, C., Seiss, E., Balaguer-Ballester, E., Mavridou, I., Hamedi, M., Cleal, A., 2017. Using facial gestures to drive narrative in VR. Sui 2017 Proceedings of the 2017 Symposium on Spatial User Interaction, 152.
  • Mavridou, I., McGhee, J.T., Hamedi, M., Fatoorechi, M., Cleal, A., Ballaguer-Balester, E., Seiss, E., Cox, G., Nduka, C., 2017. FACETEQ interface demo for emotion expression in VR. Proceedings IEEE Virtual Reality, 441-442.
  • Mavridou, I., McGhee, J.T., Hamedi, M., Fatoorechi, M., Cleal, A., Balaguer-Ballester, E., Seiss, E., Cox, G., Nduka, C., 2017. FACETEQ; a novel platform for measuring emotion in VR. ACM International Conference Proceeding Series.
  • Tabas, A., Andermann, M., Sebold, V., Balaguer-Ballester, E., Rupp, A., 2016. Mean-field model of auditory cortex explains the differences in neuromagnetic fields evoked by dissonant and consonant dyads. In: Bernstein Computational Neuroscience Conference 20/09/2016 Berlin.
  • Tabas, A., Andermann, M., Sebold, V., Balaguer-Ballester, E., Rupp, A., 2016. Mean-field model of auditory cortex explains the differences in neuromagnetic fields evoked by dissonant and consonant dyads. In: Bernstein Computational Neuroscience Conference 20/09/2016 Berlin.
  • Tabas, A., Rupp, A., Balaguer-Ballester, E., 2016. Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields. In: 25th Computational Neuroscience Conference CNS2016 02/07/2016 Jeju, South Korea.
  • Avendaño Diaz, J., He, X., Miellet, S., Balaguer-Ballester, E., Zeng, B., 2016. Bringing objects to life: examining the joint Simon effect with a social-related priming manipulation. In: 6th IMPRS NeuroCom Summer School 04/07/2016 Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
  • Mavridou, I., Troisi, A., Seiss, E., Renaud, A., Balaguer-Ballester, E., Balaguer-Ballester, E., 2016. Experience Design for Emotional Stimulation in Virtual Reality. In: Virtual Reality World Congress 12/04/2016 Bristol.
  • Tabas-Diaz, A., Balaguer-Ballester, E., Rupp, A., 2015. A realistic model of pitch perception explains the N100m morphology evoked by chords. In: 24th Computational Neuroscience Conference CNS2015 17/07/2015 Prague.
  • Tabas, A., Balaguer-Ballester, E., Rupp, A., 2015. Understanding cortical processing of pitch as a frequency-selective inhibitory process. In: Bernstein Computational Neuroscience Conference 2015 13/09/2015 Heidelberg.
  • Tabas, A., Rupp, A., Balaguer-Ballester, E., 2015. A cortical ensemble model of pitch perception. In: Neural Coding, Computation and Dynamics Workshop 30/08/2015 Bilbao, Spain.
  • Tabas-Diaz, A., Balaguer-Ballester, E., Rupp, A., 2015. A realistic model of neural ensembles reveals a harmonic connectivity structure underlying pitch processing. In: Integrated Systems Neuroscience Workshop 23/03/2015 Machester.
  • Balaguer-Ballester, E., Tabas, A., Budka, M., 2014. Attracting Dynamics, non-stationarity and trial-to-trial variability in frontal ensemble recordings. In: Bernstein Computational Neuroscience Conference 2014 02/09/2014 Tubingen.
  • Tabas, A., Balaguer-Ballester, E., Rupp, A., 2014. Hierarchical Processing of Auditory Asymmetry. In: AREADNE. Research in Encoding and Decoding of Neural Ensembles 25/06/2014 Nomikos Conference Centre, Santorini, Greece.
  • Bouchachia, H., Balaguer-Ballester, E., 2014. DELA: Dynamic Online Ensemble Learning. In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 23/04/2014 Burges, Belgium.
  • Balaguer-Ballester, E., Tabas-Diaz, A., Budka, M., 2014. Empirical identification of non-stationary dynamics in time series of recordings. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 8779 LNAI, 142-151.
  • Bouchachia, A., Balaguer-Ballester, E., 2014. DELA: A dynamic online ensemble learning algorithm. 22nd European Symposium on Artificial Neural Networks Computational Intelligence and Machine Learning Esann 2014 Proceedings, 491-496.
  • Balaguer-Ballester, E., 2012. Nonlinear Time Series Analyses in Industrial Environments and Limitations for Highly Sparse Data. IK2012, Bournemouth 19-20th April, 2012. Oral Communication..
  • Bernal-Casas, P., 2012. Dynamical causal modeling reveals modulation of prefrontal-hippocampal connectivity by a genomewide significant schizophrenia variant. FENS conference, 14-16 July 2012, Barcelona. Poster..
  • Balaguer-Ballester, E., Lapish, C.C., Seamans, J.K., Durstewitz, D., 2011. Attracting states in anterior cingulate cortex populations associated with decision making: Altered dynamics when targeting dopamine system with d-Amphetamine. Bernstein Computational Neuroscience Conference, 4-6 October 2011, Freiburg, Germany. Poster..
  • Balaguer-Ballester, E., Lapish, C., Seamans, J., Durstewitz, D., 2011. Attracting states in frontal cortex networks associated with working memory and decision making. BMC Neuroscience, 12, P82 BioMed Central Ltd.
  • Balaguer-Ballester, D., 2011. Attracting States in Frontal Cortex Networks Associated with Decision Making: Dopamine Modulation. Bernstein Symposium: Bayesian Inference: From Spikes to Behaviour, December 9-11 2011, Tubingen, Germany. Poster..
  • Balaguer-Ballester, D., 2011. Balaguer-Ballester, E., Lapish, C., Seamans, J. and Durstewitz, D. 2011. Attracting states in anterior cingulate cortex populations associated with decision making: Altered dynamics when targeting dopamine system with d-Amphetamine. Bernstein Computational Neuroscience Conference, 4-6 October, Freiburg, Germany. Poster..
  • Balaguer-Ballester, E., Lapish, C.C., Seamans, J.K., Durstewitz, D., 2011. Attracting states in anterior cingulate cortex populations associated with decision making: Altered dynamics when targeting dopamine system with d-Amphetamine. Bernstein Computational Neuroscience Conference, 4-6 October 2011, Freiburg, Germany. Poster..
  • Balaguer-Ballester, E., Lapish, C., Seamans, J., Durstewitz, D., 2011. Attracting states in frontal cortex networks associated with working memory and decision making. BMC Neuroscience, 12, P82 BioMed Central Ltd.
  • Demanuele C, D., Balaguer-Ballester, E., Durstewitz, D., 2011. Bernstein Center for Computational Neuroscience Heidelberg/Mannheim: From Genes to Behavior. In: Nobel Laureates Conference Lindau 2011 26/06/2011 Lindau, Germany. 61th Lindau Nobel Laureate Meetings, 26 June to 1st July, 2011, Lindau, Germany..
  • Balaguer-Ballester, D., 2010. Attracting Dynamics of Anterior Cingulate Cortex During Memory-Guided Decision-Making: Identification of Network Dynamics when Targeting Dopamine System. 1st Prefrontal Cortex Workshop, Vancouver, Canada. Oral communication..
  • Balaguer-Ballester, Lapish, Seamans, Durstewitz, E.C.J.D., 2010. Identifying Attracting Dynamics of Cortical Populations During Decision-Making Tasks. In: Bernstein Computational Neuroscience Conference 27/09/2011 Freiburg, Germany. Bernstein Computational Neuroscience Conference, 27 Sept- 1 October, Berlin, Germany. Oral communication..
  • Balaguer-Ballester, E., Lapish, C.C., Seamans, J.K., Durstewitz, D., 2009. Characterizing multiple-unit activity in the anterior cingulate cortex during choice behavior as a stochastic nonlinear process. BMC Neuroscience, 10, 1-2 Springer.
  • Hyman, J., Balaguer-Ballester, E., Seamans, D., Durstewitz, D., 2009. A Prefrontal Cortex Network Representation of Mental Set in Rats. In: Abst. Soc. Neuroscience 01/10/2009 Chicago. Abst. Soc. Neuro. 579.9: Chicago, IL..
  • Hyman, J.K., Balaguer-Ballester, E., Semans, J., Durstewitz, D., 2009. Does the Prefrontal Cortex perform a Behaviorally Specific Function? An Analysis of Firing Statistics across PFC-Dependent and –Independent tasks. In: Meeting of the Society for Neuroscience 01/10/2009 Chicago. Abst. Soc. Neuro. 579.2: Chicago, IL..
  • Balaguer-Ballester, E., Coath, M., Denham, S.L., Clark, N.R., Krumbholz, K., 2008. Understanding pitch perception as a top-down hierarchical process. 1st Local-Area Systems and Theoretical Neuroscience Meeting. UCL, London, 8 July 2008. Oral communication, 13, 27.
  • Balaguer-Ballester, S.L., 2008. Understanding Pitch Perception as a Multi-Scale Hierarchical Generative Process. 1st Local-Area Systems and Theoretical Neuroscience Meeting. UCL, London, 8 July 2008. Oral communication..
  • Balaguer-Ballester, S.L., 2008. Understanding Pitch Perception as a Hierarchical Generative Process. Meeting of the British Society of Audiology, September 18th – 19th 2008 , York, U.K. Poster. In International Journal of Audiology..
  • Balaguer-Ballester, B., Denham, S.L., 2008. Modelling Medial Efferent Suppression by Focused Auditory Attention. Meeting of the British Society of Audiology, September 18th – 19th 2008, York, U.K. Poster. In International Journal of Audiology..
  • Balaguer-Ballester, E., Denham, S.L., Meddis, R., 2007. Temporal Method for Perceptual Fusion in Pitch Perception. Fifteenth Annual Computational Neuroscience Meeting CNS*2006,July 16th -20th 2006 Edinburgh, Scotland, UK. Poster. Proceedings, pp. 32-33..
  • Balaguer-Ballester E Coath, M., Denham, S.L., 2007. A Hierarchical Firing-Rate Model of Temporal Integration in Pitch Perception. Coherent Behavior in Neural Networks, October 17th – 20th 2007, Palma de Majorca, Spain. Poster..
  • Denham, M., Balaguer-Ballester, E., 2007. Sparse Time-Frequency Representations in Auditory Processing. 19th Int. Congress on Acoustics. Madrid, 2-7 Sept., 2007. Oral communication..
  • Balaguer Ballester, M., Denham, S.L., 2007. Spike Probability Models for Perceptual fusion and Temporal Integration in Pitch Perception. 4th Christmas Meeting, Neuroscience Institute of Alicante. 20-21 Dec. 2007. Oral communication..
  • Martín-Guerrero, J.D., Soria-Olivas, E., Lisboa, P.J.G., Palomares, A., Balaguer-Ballester, E., Bannister, F., 2006. User Profiling from Citizen Web Portal Accesses using the Adaptive Resonance Theory Neural Network. IADIS, San Sabastian, Spain, 334-337.
  • Balaguer-Ballester, E., Denham, S., 2006. Unified temporal method for perceptual fusion and pitch perception. Fifteenth annual computational neuroscience meeting CNS, 31-32.
  • Balaguer-Ballester, E., Meddis, R., Denham, SL, 2006. A Synchronized Autocorrelation Model accounts for Pure Temporal Pitch. . Meeting of the British Society of Audiology, September 14th – 15th 2006 , Cambridge, U.K. Oral communication. In International Journal of Audiology, Volume 46, Issue 10 October 2007 , pp. 619 - 658..
  • Gomez-Perez, G., Martín-Guerrero, J.D., Soria-Olivas, E., Balaguer-Ballester, E., Palomares, A., Casariego, N., Paglialunga, D., 2005. An approach based on reinforcement learning and self-organizing maps to design a marketing campaign. 2nd International Conference on Machine Intelligence ACIDCA-ICMI 2005, 259-265.
  • Soriano-Asensi, A., Mart in-Guerrero, J.D., Soria-Olivas, E., Palomares, A., Balaguer-Ballester, E., 2005. Analysing a web portal usage by using the Growing Grid algorithm. . 2nd ACIDCA-ICMI International Conference on Machine Intelligence. 16-18 Nov., 2005, Tozeur, Tunisia., 427-433.
  • Martin-Guerrero, J.D., Lisboa, P.J.G., Soria-Olivas, E., Palomares, A., Balaguer-Ballester, E., Serrano-López, A.J., Camps-Valls, G., 2005. Improving Infoville XXI using Machine Learning techniques. In: Workshop on Machine Learning for User Modeling 24/06/2005 Edinburgh, Scotland. Workshop on Machine Learning for User Modeling: Challenges. 10th International Conference on User Modelling. Workshop Machine learning for user modelling: challenges. 24-25 Jun., 2005, Edinburgh, Scotland, UK. Oral communication., 35-42.
  • Soriano-Asensi, A., Mart in-Guerrero, J.D., Soria-Olivas, E., Palomares, A., Balaguer-Ballester, E., 2005. Analysing a web portal usage by using the Growing Grid algorithm. . 2nd ACIDCA-ICMI International Conference on Machine Intelligence. 16-18 Nov., 2005, Tozeur, Tunisia., 427-433.
  • Mart in-Guerrero, J.D., Lisboa, P.J.G., Soria-Olivas, E., Palomares, A., Balaguer-Ballester, E., Serrano-López, A.J., Camps-Valls, G., 2005. Improving Infoville XXI using Machine Learning techniques. Workshop on Machine Learning for User Modeling: Challenges. 10th International Conference on User Modelling. Workshop Machine learning for user modelling: challenges. 24-25 Jun., 2005, Edinburgh, Scotland, UK. Oral communication., 35-42.
  • Gómez-Pérez, D., Balaguer-Ballester, E., Martin-Guerrero, J.D., Palomares-Chust, A., Soria-Olivas, E., 2005. Aggregating states using the Self-Organizing Map in a marketing application. In: 7th European Workshop on Reinforcement Learning 20/10/2005 Napoli. 7th European Workshop on Reinforcement Learning, 20th-21st October 2005. Naples (Italy), Proceedings., 6-7.
  • Martín-Guerrero, J., 2003. A pseudo-supervised approach to improve a recommender based on collaborative filtering. User Modeling 2003, 145 Springer.
  • C Fernández, M.N., Balaguer-Ballester, E., et al., 2002. Exposure Criteria Evaluation of EMECAS Project. In: Meeting of Spanish Society of Epidemiology and Health: epidemiological perspective 12/09/2002 Madrid. Meeting of Spanish Society of Epidemiology and Health: epidemiological perspective, 22-23.
  • Balaguer-Ballester, E., Lapish, C., Seamans, J. and Durstewitz, D.. Attracting states in frontal cortex networks associated with working memory and decision making. In: 19th Annual Computational Neuroscience Meeting CNS*2011; July 23-28, 2011, Stockholm, Sweden. Poster. 2011.

Theses

  • Kawshika Fernando, E., 2022. Time series analysis prediction of spontaneous cortical activity in brain slices in vitro using classical time series models, long short-term memory (LSTM) and Gated Recurrent Unit (GRU). Department of Computing & Informatics, Bournemouth University.

Preprints

  • Camps-Valls, G., Gerhardus, A., Ninad, U., Varando, G., Martius, G., Balaguer-Ballester, E., Vinuesa, R., Diaz, E., Zanna, L., Runge, J., 2023. Discovering Causal Relations and Equations from Data.
  • Shan, H., Moreno-Bote, R., Drugowitsch, J., 2019. Family of closed-form solutions for two-dimensional correlated diffusion processes.
  • Drugowitsch, J., 2013. Variational Bayesian inference for linear and logistic regression.

PhD Students

  • Roman Arango. Emergence of Asynchronous Activity in Confined Cortical Networks, (In progress)
  • Daniel Todorov Dimanov. Automatic Multi-Objective Neuroevolutionary Optimization for Computer Vision, (In progress)
  • Ogochuwvku Izege. Structural equation modelling of quality of life., (In progress)
  • Michal Gnacek. Detection of presence and immersion breaking events in Virtual Reality, (In progress)
  • David Bernal Casas, 2013. (external advisor) “Identifying Mental Condition and Genotype Interactions from Human Brain Connectivity Dynamics in fMRI recordings”, (Completed)
  • Amir Rafati-Afshar, 2016. Classification algortithms for extremely unbalanced data, (Completed)
  • Alejandro Tabas, 2017. Mesoscopic dynamics of pitch processing in human auditory cortex, (Completed)
  • Mohsen Amiribesheli, 2017. Smart homes for people with dementia, (Completed)
  • Rebecca Elisa, 2017. Attention Deficit/Hyperactivity Disorder and the Function of the Locus Coeruleus-Norepinephrine System, (Completed)
  • Saad Mohamad, 2017. Active Learning for Data Streams, (Completed)
  • Bassma Al-Jubouri, 2018. Local Learning for Multi-layer, Multi-component Predictive System., (Completed)
  • Gizem Arabaci, 2019. Trait inattention and goal maintenance, (Completed)
  • Mohammad Heydari Fami Tafreshi, 2020. Indeterminacy-Aware Prediction Model for Authentication in IoT, (Completed)
  • Juan Camilo Avdeano Diaz, 2020. Interpersonal influences in human visuospatial attention: from behaviour to EEG, (Completed)
  • Jamil Waqas, 2020. Competitive Online Regression., (Completed)
  • Ifigeneia Mavridou, 2021. Affective State Recognition in Virtual Reality from Electromyography and Heart-rate Changes using Head-mounted Wearable Sensors., (Completed)
  • Lazaros Michailidis, 2021. Uncovering the physiological correlates of the flow experience in virtual reality games, (Completed)

Profile of Teaching PG

  • Reconstruction of neurocognitive dynamics from limited neural recordings (Bernstein Centre for Computational Neuroscience, University of Heidelberg. Doctorate Level/L7, 2010-2012)
  • Analytics for Data Streams (Level 7, 2014-2019)
  • Applied Data Analytics/Data Science and AI master's projects supervision (Level 7, 2014-now)
  • Neuronal Analysis (Leve 7, 2019-now)

Profile of Teaching UG

  • Systems Design (Level 5, 2012-now)
  • Machine Intelligence (Level 6, 2014-2019)
  • Final year projects supervision BSc in Computing (Level 6, 2012-now)

Grants

  • Validating Cortical Network Models at the Edge of Asynchrony (Royal Society, 01 Apr 2022). In Progress
  • Neuromorphic Hardware Operating at the Edge of Asynchrony (Human Brain Project (ERC), 01 Mar 2022). In Progress
  • Neuromorphic Hardware Operating at the Edge of Asynchrony (Human Brain Project (ERC), 01 Mar 2022). In Progress
  • Propagation of Activity in Cortical Networks at the Edge of Asynchrony (Human Brain Project partnering project-IDIBAPS-BU, 03 Mar 2017). Completed
  • Research award funding travels to the Department of Neurology, University of Heidelberg. (Santander Bank, 01 Sep 2016). Completed
  • Identification of Metastable Cortical Dynamics Underlying Cognitive Decisions (IDIBAPS Barcelona and BU, 05 Jul 2016). Completed
  • Analytical Agent Technology for Complex and Dynamically Evolving Environments (Ecole des Mines, Douai, France -BU, 02 Jan 2014). Completed
  • How Cultural Background Influences Sound Processing in Auditory Cortex (BU-DEC-Heidelberg University, 01 Oct 2013). Completed
  • Attention Deficit/Hyperactivity Disorder and the Function of the Locus Coeruleus-Norepinephrine (BU, 01 Oct 2013). Completed
  • Adapted Home Environments for People with Dementia (BU, 15 Sep 2013). Completed
  • Policy Optimisation Strategy to Maximize Customer’s Lifetime Value using Neurodynamic Programming (Spanish Ministry of Science and Technology., 02 Jan 2004). Completed
  • Intelligent and integral management of Incidences Control Center: application to Critical Public Services (Spanish Ministry of Science and Technology, 02 Jan 2004). Completed
  • On-Line Analyses of Anonymous Users using Kernel Hierarchical Clustering (Spanish Ministry of Science and Technology., 02 Jan 2003). Completed
  • Neurodynamic programming and Reinforcement Learning for the Control of Users Navigation in Advanced Public Services Web Portals (Generalitat Valenciana (Local Authorities, Spain)., 02 Jan 2003). Completed

Qualifications

  • SFHEA in Senior Fellow of the Higher Education Academy (HEA UK, 2020)
  • HEA Fellow in HEA Fellow (2017)
  • MSc in Neuroscience and Biology of Behaviour (University of Seville, 2004)
  • PhD in Physics (Cum Laude, Honours) (Physics Department, University of Valencia (Spain), 2001)
  • MSc in Theoretical Physics (University of Valencia, 1997)

Honours

  • PhD thesis award (Culture Institute “Juan Gil-Albert”, Diputación Provincial de Alicante, Spain, 2001)

Memberships

The data on this page was last updated at 22:00 on February 15, 2026.