ICMNS 2025

International Conference on Mathematical Neuroscience

REGISTRATION FEE

(Includes attendance to the congress, gala dinner, coffee breaks and a sandwich from Tuesday to Thursday)

300€ Standard registration

250€ Registration for postdocs

170€ Registration for students

SCHEDULE

ABSTRACTS CONTRIBUTED TALKS & POSTERS

Registration has been extended until May 25th. Please, go to the SIGN IN button below.

TRAVEL GRANTS

Students and early career researchers who are members of ESMTB can an apply for Travel Support in the following link:

https://www.esmtb.org/Travel-Support

International Conference on Mathematical Neuroscience (ICMNS 2025)

Conference

From June 17, 2025
to June 20, 2025

Venue: PRBB, Barcelona - Rooms: Auditorium / Marie Curie

To register, please, click on the SIGN IN button on the left.

*Please note that presenting a contribution does not exempt participants from paying the registration fee.

Registration deadline 25 / 05 / 2025

PRBB Parc de Recerca Biomèdica de Barcelona

PRBB Parc de Recerca Biomèdica de Barcelona (visit)

Carrer del Doctor Aiguader, 88, Ciutat Vella, 08003 Barcelona

PHOTO GALLERY

Introduction

The International Conference on Mathematical Neuroscience (ICMNS) is an inter-disciplinary conference series, bringing together theoretical/computational neuroscientists and mathematicians. The conferences are aimed at scientists interested in using or developing mathematical techniques for neuroscience problems. ICMNS 2025 will be the tenth annual conference. ICMNS 2024 was held in Dublin, whereas previous editions were held in Copenhagen, Juan les Pins and Boulder, Colorado.

KEYNOTE SPEAKERS

Elad Schneidman

Weizmann Institute of Science

Personal Website

Learning the code of large neural populations using sparse random projections

Tatyana Sharpee

Salk Institute

Personal Website

How neural manifolds change with learning

Tatjana Tchumatchenko

Universität Bonn

Personal Website

Energy minimization as an organizing principle for neural proteins

INVITED SPEAKERS

Rafal Bogacz | Oxford University

Abstract

Synaptic plasticity underlying leaning in biological neural networks only relies on information locally available to a synapse such as activity of presynaptic and postsynaptic neurons. This is a fundamental constraint on biological neural networks which shapes how they are organized. Hence it is important to understand how effective learning in large networks of neurons can be achieved within the constraint of local plasticity. This talk will review predictive coding, which is an influential model describing information processing in hierarchically organized cortical circuits. The talk will demonstrate that predictive coding network can learn equally or more effectively than artificial neural networks trained with backpropagation despite relying only on the local Hebbian plasticity.

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Rafal Bogacz | Oxford University

Áine Byrne | University College Dublin

Abstract

Gap junctions are widely recognised for their crucial role in synchronising neuronal populations, contributing to the generation of both normal and pathological brain rhythms. Unlike coupling through chemical synapses, gap junctions enable ion and molecule exchange between cells both pre-threshold and during an action potential. Hence, the subthreshold dynamics and the shape of the action potential will affect the dynamics of gap junction coupled cells. As modellers, we often explore the sensitivity of our model results to changes in parameters (e.g., firing threshold, resting potential, etc.), but we do not typically explore the robustness of our results to changes in the neuron model itself. As we develop more detailed models and computational tools to simulate gap junction coupled neurons, it is useful to step back and fully understand how the choice of neuron model may influence the results. In this work, we compare the dynamics of gap junction coupled neurons using four different models: Hodgkin-Huxley, leaky integrate-and-fire, Morris Lecar and Izhikevich. Matching their subthreshold activity, we find distinct differences in the gap junction transmission for dynamically changing inputs and in post-threshold spiking regimes. We then explore how these differences affect network-level dynamics, specifically synchrony and the frequency of oscillation.

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Áine Byrne | University College Dublin

Alexis Dubreuil | University of Bordeaux, CNRS

Abstract

Neural computations are currently investigated using two separate approaches: sorting neurons into functional subpopula- tions or examining the low-dimensional dynamics of collective activity. Whether and how these two aspects interact to shape computations is currently unclear. Using a novel approach to extract computational mechanisms from networks trained on neu- roscience tasks, here we show that the dimensionality of the dynamics and subpopulation structure play fundamentally com- plementary roles. Although various tasks can be implemented by increasing the dimensionality in networks with fully random population structure, flexible input–output mappings instead require a non-random population structure that can be described in terms of multiple subpopulations. Our analyses revealed that such a subpopulation structure enables flexible computations through a mechanism based on gain-controlled modulations that flexibly shape the collective dynamics. Our results lead to task-specific predictions for the structure of neural selectivity, for inactivation experiments and for the implication of different neurons in multi-tasking.

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Alexis Dubreuil | University of Bordeaux, CNRS

Soledad Gonzalo Cogno | Kavli Institute, NTNU

Abstract

The medial entorhinal cortex hosts many of the brain’s circuit elements for spatial navigation and episodic memory, operations that require neural activity to be organized across long durations of experience. We have previously found that entorhinal cells can organize their activity into minute-scale oscillations that manifest as periodic sequences of activity in the neural population [1]. These ultraslow periodic sequences were recorded while mice ran at free pace on a rotating wheel in darkness, with no change in running direction and no scheduled rewards. It remains unknown, however, whether the sequences also occur during more naturalistic behaviours, for example while mice run in an open field arena. In this presentation I will show that in free foraging conditions, MEC neuronal activity can organize into sequences. However, the sequential activity is now characterized by resettings and interruptions. By developing a computational model, we investigate the conditions under which the sequences reset, as well as the repertoire of network architectures that can generate the ultraslow periodic sequences. We further illustrate the potential role of the sequences in facilitating, in downstream structures, patterns of neuronal activation that unfold at behavioural time scales.

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Soledad Gonzalo Cogno | Kavli Institute, NTNU

Stephanie Jones | Brown University

Abstract

Electro- and magneto-encephalography (EEG/MEG) are the leading methods to non-invasively record human neural dynamics with millisecond temporal resolution. However, it can be extremely difficult to infer the underlying cellular and circuit level origins of these macro-scale signals without simultaneous invasive recordings. This limits the translation of E/MEG into novel principles of information processing, or into new treatment modalities for neural pathologies. To address this need, we developed the Human Neocortical Neurosolver (HNN: https://hnn.brown/edu ), a user-friendly neural modeling tool designed to help researchers and clinicians interpret human imaging data. A unique feature of HNN’s model is that it accounts for the biophysics generating the primary electric currents underlying EEG/MEG with enough detail to connect to cell and circuit level phenomena that can be studied with invasive techniques in animal models. HNN is being constructed with workflows of use to study some of the most commonly measured E/MEG signals including event related potentials, and low frequency brain rhythms. I will give an overview of the theory behind the development of this mathematical neural modeling tool and demonstrate its use in uncovering the mechanisms and meaning of human brain dynamics in health and disease.

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Stephanie Jones | Brown University

Anna Levina | University of Tübingen

Abstract

Neural activity exhibits dynamics across multiple timescales, reflecting the specialization of circuits for task-relevant computations. We studied how these timescales can be flexibly modulated on a trial-by-trial basis depending on cognitive states such as attention and why their modulation is relevant for computations. We analyzed the autocorrelation structure of population spiking activity recorded from individual cortical columns in primate area V4 during a spatial attention task and a fixation task. Our results reveal at least two distinct timescales in both spontaneous and stimulus-driven activity. Notably, the slower timescale was significantly prolonged in trials where monkeys attended to the receptive field location of the recorded neurons, compared to control trials when attention was directed elsewhere. To investigate the mechanisms underlying this modulation, we used computational models and demonstrated that the observed timescales naturally emerge from recurrent network dynamics shaped by spatial connectivity structure.

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Anna Levina | University of Tübingen

Sukbin Lim | NYU Shanghai

Abstract

While higher association areas have long been considered as a locus of working memory, recent human studies found memory signals in early sensory areas, prompting a re-evaluation of their role in working memory. In this talk, I will first outline two distinct frameworks used to understand perception and working memory: Bayesian perception models and recurrent network models for working memory. Subsequently, I will demonstrate how integrating these two frameworks to account for sensory-memory interactions can clarify changes in the internal representation of stimuli and their behavioral readout during memory tasks, addressing a challenge in conventional models.

________________________________

Sukbin Lim | NYU Shanghai

Jonathan Touboul | Brandeis University

Abstract

I will discuss here some recent results about how the activity generated by information about external stimuli is encoded, distributed and interpreted in the brain, and particularly in the primary visual cortex (V1) of mammals. Ample work, triggered by the celebrated work of Hubel and Wiesel, led to a fine understanding of the responses of V1 to stimuli in various species, particularly in mammals. Neurons in V1 are classically thought to encode spatial features of visual stimuli through simple population codes: cortical columns, transverse to the surface of the cortex, exhibit a preferred orientation and preferred spatial frequency that are invariant to other aspects of the visual stimulus. In various mammalian species, it was further shown that the stimuli associated with maximal firing rates are organized according to continuous maps with discrete singularities. A classical view, originating from the work of Hubel and Wiesel themselves and formalized by Swindale and collaborators in particular, suggests that the relative arrangements of these maps are optimized for uniform coverage, that is, a uniform representation of all combinations of visual attributes.

In this talk, I will revisit the coding paradigm and uniform coverage hypothesis based on new high-resolution optical imaging data. First, I will show that spatial frequency and orientation maps violate the uniform coverage hypothesis, and rather prove consistent with an hypothesis of exhaustivity and parsimony of representation. Moreover, I will show that both coding through variations in firing rates and invariance of maps do not apply to the representation of major features of stimulus motion, including stimulus direction and temporal frequency. Instead, in over half of V1, preferred direction changed with stimulus TF, revealing four distinct map motifs embedded within V1’s functional architecture, while preferred TF was mostly uniform across the cortical surface. Despite the lack of spatial modulation for the preferred TF map and the lack of invariance for the preferred direction map, I will show, using convolutional neural networks, that direction, TF and stimulus speed can be accurately decoded from V1 responses at all cortical locations. These findings suggest that subtle modulations of V1 activity may convey fine information about stimulus motion, pointing to a novel primary sensory encoding mechanism despite complex co-variation of responses to multiple attributes across V1 neurons.

This talk will cover work with many collaborators, including Jérôme Ribot, Steve Van Hooser, Daniel Bennequin and others.

________________________________

Jonathan Touboul | Brandeis University

Organising Committee

Toni Guillamon | Universitat Politècnica de Catalunya (UPC) – CRM
Gemma Huguet | Universitat Politècnica de Catalunya (UPC) – CRM
Ernest Montbrió | University Pompeu Fabra (UPF)
Alex Roxin | Centre de Recerca Matemàtica (CRM)

Scientific Committee

SCHEDULE

	Tuesday 17th June, 2025		Wednesday 18th June, 2025		Thursday 19th June, 2025		Friday 20th June, 2025
	09:00 - 09:40 - Registration
	Room: Auditorium
08:50 09:50	09:40 - 09:50 - Welcome		Elad Schneidman Weizmann Institute of Science Learning the code of large neural populations using sparse random projections		Tatjana Tchumatchenko Universität Bonn Energy minimization as an organizing principle for neural proteins		Tatyana Sharpee Salk Institute How neural manifolds change with learning
Room: Auditorium
09:50 10:30	Àine Byrne University College Dublin The importance of model selection when studying gap junctions: A cautionary tale		Rafal Bogacz Oxford University Predictive coding: Effective learning with local plasticity		Sukbin Lim NYU Shanghai Exploring Perception and Working Memory: Circuit Models with Modular Sensory-Memory Interaction		Soledad Gonzalo Cogno Kavli Institute, NTNU Ultraslow periodic sequences of neural population activity
10:30 11:00	Coffee Break		Coffee Break		Coffee Break + Group Picture		Coffee Break
	Room: Auditorium	Room: Marie Curie	Room: Auditorium	Room: Marie Curie	Room: Auditorium	Room: Marie Curie	Room: Auditorium	Room: Marie Curie
11:00 11:30	Bastian Pietras Universitat Pompeu Fabra Beyond Synchrony: The Role of Electrical Synapses in Neural Pattern Formation	Jakub Vohryzek Universitat Pompeu Fabra Human brain dynamics are shaped by rare long-range connections over and above cortical geometry	Marc Burillo Garcia Universitat de Barcelona - Sorbonne Université An analysis of the temporal component of motor preparation and execution in High Frequency Local Field Potentials: A Theoretical Approach	Gloria Cecchini CRM Balanced inhibition allows for robust learning of input-output associations in feedforward networks with Hebbian plasticity	James MacLaurin New Jersey Institute of Technology The Hydrodynamic Limit of Neural Networks with Balanced Excitation and Inhibition	Sophie Jaffard Université Côte d’Azur A Spiking Neural Network Model for Categorization Task	Gregory Handy University of Minnesota Glial ensheathment of inhibitory synapses drives hyperactivity and increases correlations	Gabriel Koch Ocker Boston University Fluctuations in strongly coupled soft-threshold integrate-and-fire networks
	Room: Auditorium	Room: Marie Curie	Room: Auditorium	Room: Marie Curie	Room: Auditorium	Room: Marie Curie	Room: Auditorium	Room: Marie Curie
11:30 12:00	Victor Buendía Ruiz-Azuaga Bocconi University A mesoscopic theory for coupled stochastic oscillators	Janus Rønn Lind Kobbersmed Aarhus Universitet One-shot normative modelling of whole-brain functional connectivity	Horacio G. Rotstein New Jersey Institute of Technology & Rutgers University Interaction of segregated resonant mechanisms along the dendritic axis in CA1 pyramidal cells: Interplay of cellular biophysics and spatial structure	Lindsay Stolting Indiana University Activity-Dependent Homeostatic Plasticity Maintains Circuit-Level Dynamic Properties with Local Activity Information	Daniele Avitabile Vrije Universiteit Amsterdam Noise-induced pattern formation in networks of spatially-dependent neural networks	Alexandre Mahrach IDIBAPS Fine-tuning of attractors on a ring underlies the learning of robust working memory in mice	Daniel Trotter University of Ottawa Homeostatic gain modulation drives changes in heterogeneity expressed by neural populations	Shoshana Chipman University of Chicago Dynamic Mean Field Theories for Correlated Strong Noise in Nonlinear Gain
	Room: Auditorium	Room: Marie Curie	Room: Auditorium	Room: Marie Curie	Room: Auditorium	Room: Marie Curie	Room: Auditorium	Room: Marie Curie
12:00 12:30	Gabriele Casagrande Institut de Neurosciences des Systèmes Classification of Neural Mass Models based on codimension-2 bifurcations	Yang Qi Fudan University Optimal signal transmission and timescale diversity in a model of human brain operating near criticality	Matteo Martin University of Padova Transitions in cartwheel cell electrical activity: bifurcations of super-slow equilibria explain effects of ion current blockers	Mohadeseh Shafiei Kafraj University College London A Biologically Plausible Associative Memory Network	Louisiane Lemaire University of Montpellier Altered slow inactivation of sodium channels carrying an epilepsy mutation promotes depolarization block	Lou Zonca University Pompeu Fabra Modeling disorders of consciousness at the patient level reveals the network's influence on the diagnosis vs the local node parameters role in prognosis	Daniil Radushev Higher School of Economics Metric Framework of Synchronous States Identification in Spiking Neural Networks	Pierre Houzelstein École Normale Supérieure PSL University Koopman analysis of stochastic oscillator networks
	Room: Auditorium	Room: Marie Curie	Room: Auditorium	Room: Marie Curie	Room: Auditorium	Room: Marie Curie	Room: Auditorium	Room: Marie Curie
12:30 13:00	Damien Depannemaecker Institut de Neuroscience des Systèmes A Neural Mass Model with Neuromodulation for Whole-Brain Modeling in Parkinson's Disease	Xenia Kobeleva Ruhr University Bochum Towards translation of whole-brain neural mass models to clinical practice: finding the right level of model complexity	Kevin Martínez Anhom CRM Optimal control over damped Oscillations via response curves	Jakob Stubenrauch BCCN Berlin Dynamics of synaptic weights under spike-timing-dependent plasticity	Marisa Saggio INS, Aix-Marseille University Paths to depolarization block: modeling neuron dynamics during spreading depolarization events	Tahra Eissa University of Colorado Boulder Uncertainty in stimulus dynamics drives asymmetries in evidence integration	Lena Schadow University of Lübeck Neuronal field model analysis from a mathematical point of view	Luca Falorsi Istituto Superiore di Sanità Interspike Interval dynamics in neuronal populations
13:00 14:50	Lunch		Lunch		Lunch		Room: Auditorium (13:00 - 13:40) Jonathan Touboul Brandeis University Beyond the uniform coverage hypothesis: coding without a map, or with fluctuating maps
Room: Auditorium
14:50 15:30	Stephanie Jones Brown University Interpreting the Mechanisms and Meaning of Human MEG/EEG signals with the Human Neocortical Neurosolver (HNN) Neural Modeling Software		Alexis Dubreuil University of Bordeaux, CNRS The role of population structure in computations through neural dynamics		Anna Levina University of Tübingen Timescales of neural activity and their determinants in spatially connected model
	Room: Auditorium	Room: Marie Curie	Room: Auditorium	Room: Marie Curie	Room: Auditorium	Room: Marie Curie
15:30 16:00	Akke Mats Houben Universitat de Barcelona Neural fields with auto-associative memories: collective activity, pattern formation, and memory dynamics	Cheng Ly Virginia Commonwealth University Parkinsonian patients have a broader range of time-scales of EEG motor cortex activity than healthy subjects	Justyna Signerska-Rynkowska Dioscuri Centre in TDA Understanding neuronal responses to transient inputs: a dynamical systems approach	Jonathan Rubin University of Pittsburgh Distinct dopaminergic spike-timing-dependent plasticity rules are suited to different functional roles	Virginia Bolelli Universite Paris-Saclay Modeling cyclic-sequential brain activity via biologically plausible dynamics	Uros Sutulovic University of Trento gPC-based robustness analysis of neural systems through probabilistic recurrence metrics
	Room: Auditorium	Room: Marie Curie	Room: Auditorium	Room: Marie Curie	Room: Auditorium	Room: Marie Curie
16:00 16:30	Zhuo-Cheng Xiao New York University Shanghai Minimizing information loss reduces spiking neuronal networks to differential equations	Borja Mercadal Neuroelectrics tDCS montage optimization for the treatment of epilepsy using Neurotwins	Kasper Smeets École Polytechnique Fédérale de Lausanne Rate-like dynamics of memory-dependent spiking neural networks	Jyotika Bahuguna Laboratoire des Neurosciences cognitive et adaptive Three-factor cortico-striatal plasticity shifts activity of cortico-basal ganglia-thalamic subnetworks towards optimal performance in decision-making tasks	Amira Meddah Institut für Stochastik A stochastic hierarchical model for low grade glioma evolution	Kamyar Tavakoli University of Ottawa Neural Signal Prediction and Demixing via Multi-Time Delay Reservoir Computing
16:30 18:30	Poster session 1 From 1 (M. Acevedo) to 27 (N. Fennelly)		Poster session 2 From 28 (L. Forbes) to 53 (M. Miller)		Poster session 3 From 54 (F. Nadim) to 80 (D. Zakharov)
18:30	Reception
20:00			Social Dinner at the Cangrejo Loco (Moll de Gregal, 29, Local 4, Sant Martí, Barcelona)

CONTRIBUTIONS

Resolutions: Sent

The available poster boards at the venue measure 1 meter wide by 2 meters high. Posters within these dimensions are acceptable. There will be four poster sessions throughout the event. Please visit the conference website regularly for updates and to find out when your poster is scheduled

Printing Services in Barcelona

If you need to print your poster once you arrive in Barcelona, you can do so at TPI Copisteria. They offer both cardboard and photographic paper printing services.

You can contact them via email to arrange the printing and provide them with the details of what you want to print. The prices are approximately as follows:

€25 for printing on cardboard
€45 for printing on photographic paper

Payment can be made either via bank transfer or in person when you pick up the printed materials at the shop. The shop is located just a 10-minute walk from the venue.

To place your order or for more information, you can contact them via email at: copisteria@tpicopi.com
For further details, visit their website: https://tpicopi.com/

ABSTRACTS CONTRIBUTED TALKS & POSTERS

registration

You will be asked to create a CRM web user account before registering to the activity through the following link (please note that it will be necessary to fill in both the personal and academic requested information in the web user intranet):

CRM USER CREATION

Once you have created your CRM user, you can sign in on the activity web page to complete your registration or click on the following link.

LIST OF PARTICIPANTS

Name	Institution
Tatjana Tchumatchenko	University of Bonn
Tatyana Sharpee	Salk Institute
Rafal Bogacz	University of Oxford
Áine Byrne	University College Dublin
Alexis Dubreuil	University of Bordeaux
Soledad Gonzalo Cogno	Norwegian University of Science and Technology
Pablo Vizcaíno	Universidad Complutense de Madrid
Rubén Vigara	Universidad de Zaragoza
Amira Meddah	Johannes Kepler University of Linz
Sophie Jaffard	Université Côte d'Azur
Niranjana Sudheer	Norwegian University of Life Sciences
Encarnación Marcos Sanmartín	Universitat Pública Miguel Hernández
Angelica Pozzi	University of Nottingham
Niamh Fennelly	University College Dublin
Janus Rønn Lind Kobbersmed	Aarhus University
Saeed Taghavi	The Zapata-Briceño Institute of Neuroscience for Research on Human Intelligence
Daniele Avitabile	VU University Amsterdam
Louis Pezon	Swiss Federal Institute of Technology in Lausanne
Dirk Doorakkers	VU University Amsterdam
Gustavo Patow	Universitat de Girona
Victor Buendia Ruiz-Azuaga	Bocconi University
Mayu Ohira	Saitama University
Albert Juncà	Universitat de Girona
Louisiane Lemaire	Inria Branch at the University of Montpellier
Pau Clusella	Universitat Politècnica de Catalunya
Gregory Handy	University of Minnesota
Akke Mats Houben	Universitat de Barcelona
Sarah Gaubi	Pasteur Institute, Paris
Jonathan Rubin	University of Pittsburgh - Pittsburgh Campus
Olesia Dogonasheva	Institut de l'Audition, Pasteur Institute
Lou Zonca	Universitat Pompeu Fabra
Justyna Signerska-Rynkowska	Gdansk University of Technology
Marco Cafiso	University of Pisa
Maren Bråthen Kristoffersen	Norwegian University of Life Sciences
James Maclaurin	New Jersey Institute of Technology
Alexandre Garcia-Duran	Centre de Recerca Matemàtica
Marc Burillo Garcia	Universitat de Barcelona
Lindsay Stolting	Indiana University - Bloomington
Alina Podschun	Humboldt University of Berlin
Bastian Pietras	Universitat Pompeu Fabra
Eddy Kwessi	Trinity University
Diletta Bartolini	University of Pavia
Uros Sutulovic	University of Trento
SeyedKamyar Tavakoli	University of Ottawa
Gengshuo Tian	University of Chicago
Yang Qi	Fudan University
Jacopo Epifanio	Universitat Pompeu Fabra
Rosa Maria Delicado Moll	Universitat Politècnica de Catalunya
Gloria Cecchini	Centre de Recerca Matemàtica
Ana Mayora-Cebollero	Universidad de Zaragoza
Carmen Mayora-Cebollero	Universidad de Zaragoza
Marius Yamakou	University of Erlangen-Nuremberg
Daniil Radushev	National Research University Higher School of Economics
Camille Godin	University of Ottawa
Jakob Stubenrauch	Humboldt University of Berlin
Gemma Huguet Casades	Universitat Politècnica de Catalunya
Antoni Guillamon Grabolosa	Universitat Politècnica de Catalunya
Jonathan Touboul	Brandeis University
Stephanie Jones	Brown University
Anna Levina	University of Tübingen
Mohadeseh Shafiei Kafraj	University College London
Gabriela Navas	University of California
Sukbin Lim	New York University Shanghai
Ece Kuru	Humboldt University of Berlin
Jyotika Bahuguna	University of Strasbourg
Zhuo-Cheng Xiao	New York University
Zachary Friedenberger	University of Ottawa
Axel Hutt	Institute National de Recherche en Informatique et Automatique
Alex O'Hare	Universitat de Les Illes Balears
Ignacio Martín	Universitat de Girona
Théo Leblanc	Université Paris Dauphine PSL
Pierre Houzelstein	École normale supérieure - Paris
Ernest Montbrió	Universitat Pompeu Fabra
Tahra Eissa	University of Colorado Boulder
Alexandra Antoniadou	Centre de Recerca Matemàtica
Damien Depannemaecker	Aix-Marseille University
Grace Jolly	University of Nottingham
Louis Köhler	University of Nice Sophia Antipolis
Shoshana Chipman	University of Chicago
Kevin Martínez Añón	Centre de Recerca Matemàtica
Yutaka Shimada	Saitama University
Lucía Arancibia	Centre de Recerca Matemàtica
Kasper Smeets	Swiss Federal Institute of Technology in Lausanne
Francesca Castaldo	Neuroelectrics
Alex Roxin	Centre de Recerca Matemàtica
Pau Pomés	Universitat Pompeu Fabra
Daniel Trotter	University of Ottawa
Francesco Damiani	Universitat Pompeu Fabra
Enrica Pirozzi	University of Campania Luigi Vanvitelli
Wei Qin	University of Melbourne
Catalina Vich	Universitat de Les Illes Balears
Mahraz Behbood	Humboldt University of Berlin
Lena Schadow	University of Lübeck
Louise Martineau	University of Strasbourg
Zhenxing Hu	FEMTO-ST Institute
Lauren Forbes	Boston University
Daniele Andrean	University of Padua
Maria Luisa Saggio	Aix-Marseille University
Matteo Martin	University of Padua
Gabriele Casagrande	Aix-Marseille University
Morten Gram Pedersen	University of Padua
Lluc Tresserras Pujadas	Universitat Politècnica de Catalunya
Borja Mercadal	Neuroelectrics
Gabriel Ocker	Boston University
Oliver Cattell	University of Nottingham
Luca Falorsi	Sapienza University of Rome
Leyla Roksan Caglar	Icahn School of Medicine at Mount Sinai
Noah Marko Mesic	University of Zagreb
Alberto Pérez Cervera	Universitat Politècnica de Catalunya
Konstantinos Chatzimichail	IDIBAPS
Alexandre Mahrach	IDIBAPS
Ronja Strömsdörfer	Technical University of Berlin
Helmut Schmidt	Institute of Computer Science, Czech Academy of Sciences
Cheng Ly	Virginia Commonwealth University
Michelle Miller	University of Chicago
Edmundo Lopez-Sola	Neuroelectrics Barcelona
Jorge Jaramillo	University of Chicago
Ian Ramsey	University of Iowa
Roser Sanchez-Todo	Neuroelectrics
Raul de Palma Aristides	Universitat Pompeu Fabra
Giulio Ruffini	Neuroelectrics Barcelona SL
Congcong Du	Beijing Normal University
Virginia Bolelli	Université Paris-Saclay
Jakub Vohryzek	Universitat Pompeu Fabra
Gianni Valerio Vinci	Istituto Superiore di Sanità
Thibaud Taillefumier	University of Texas at Austin
Ajay Kumar	Indian Institute of Technology Jodhpur
Adrià Tauste Campo	Universitat Politècnica de Catalunya
Xenia Kobeleva	Ruhr University Bochum
Klaus Wimmer	Centre de Recerca Matemàtica
Roberto Barrio	Universidad de Zaragoza
Gregorio Rebecchi	University of Nice Sophia Antipolis
Kanaan Mousaei	University of Bonn
Denis Zakharov	HSE University
Zahra Aminzare	University of Iowa
Martina Acevedo	Hospital del Mar Research Institute (IMIM)
Albert Compte	IDIBAPS
Alexandre Hyafil	Centre de Recerca Matemàtica
Jens-Bastian Eppler	Centre de Recerca Matemàtica
Etienne Tanré	Université Côte d'Azur
Jaime de la Rocha	IDIBAPS
Songting Li	Shanghai Jiao Tong University
Yuxiu Shao	Beijing Normal University
Simon Déjean	University of Bordeaux
Thi Quynh Nga Nguyen	École normale supérieure - Paris
jeremie lefebvre	University of Ottawa
Diego Vidaurre	Aarhus University
Elif Köksal	Inria Lyon Centre
Pablo Oyarzo	Aarhus University
Andrea Barreiro	Southern Methodist University
Julien Corbo	Rutgers
Marian Martínez Marín	Universitat Pompeu Fabra
Amir Abbas Ahmad Khanbeigi	University of Manchester
Guillaume Girier	Institute of computer science of Prague
Brian Skelly	University College Dublin
Sofia Gil-Rodrigo	Universitat Pompeu Fabra
Petros Evgenios Vlachos	Frankfurt Institute for Advanced Studies
Dmytro Grytskyy	Universitat Pompeu Fabra
Manuel Molano-Mazón	UPC
Rubén Moreno Bote	Universitat Pompeu Fabra
Tilo Schwalger	Technical University of Berlin
Jawad Ali	University of Bologna
Gulistan Iskenderoglu	University of Nottingham
Alla Borisyuk	University of Utah
Cornelius Bergmann	University of Bonn
Gabriel Mel de Fontenay	Centre de Recerca Matemàtica
Silvana Silva Pereira	Universitat Autònoma de Barcelona
Michael Yartsev	UC Berkeley
Manaoj Aravind Vivekanandan	Institut FEMTO-ST
Elad Schneidman	Weizmann Institute of Science
Boris Gutkin	École normale supérieure - Paris
Anna Wilson Ganzabal	Centre de Recerca Matemàtica
Horacio Rotstein	New Jersey Institute of Technology
Rainer Engelken	Columbia University

INVOICE/PAYMENT INFORMATION

IF YOUR INSTITUTION COVERS YOUR REGISTRATION FEE: Please note that, in case your institution is paying for the registration via bank transfer, you will have to indicate your institution details and choose “Transfer” as the payment method at the end of the process.

UPF | UB | UPC | UAB

*If the paying institution is the UPF / UB/ UPC / UAB, after registering, please send an email to comptabilitat@crm.cat with your name and the institution internal reference number that we will need to issue the electronic invoice. Please, send us the Project code covering the registration if needed.

Paying by credit card

IF YOU PAY VIA CREDIT CARD but you need to provide the invoice to your institution to be reimbursed, please note that we will also need you to send an email to comptabilitat@crm.cat providing the internal reference number given by your institution and the code of the Project covering the registration (if necessary).

LODGING INFORMATION

Residència Unihabit Ciutat Vella: We have secured a block of single rooms at Residència Unihabit Ciutat Vella. To make a reservation, please email infociutatvella@unihabit.com with the reference code 2025ICMNS.

The deadline for reservations is 31/03/25.

H10 Hotels: You will have a special discount of 10% if booking in some of the H10 Hotels through the web: www.h10hotels.com

The hotels included in the promotion are: H10 Port vell – H10 Universitat – H10 ITACA – H10 Montcada – H10 Casanova – H10 Cubik – H10 Madison

Just write “ICMNS25” as the promotional CODE after filling in the hotel name/data/type of room.

ON-CAMPUS AND BELLATERRA

BARCELONA AND OFF-CAMPUS

Travel support

Students and early career researchers who are members of ESMTB can an apply for Travel Support in the following link:
https://www.esmtb.org/Travel-Support

acknowledgement

For inquiries about this event please contact the Scientific Events Coordinator Ms. Núria Hernández at nhernandez@crm.cat