- semfis - Mailing lists@ IFISC

Master Thesis on Monday, Oct 24, 2022 at 10:20
by semfis＠ifisc.uib-csic.es 21 Oct '22

21 Oct '22

Master Thesis on Monday Oct 24, 2022 at 10:20 Place: IFISC Meeting Room Title: Analysis and the Action Curve of Agent Zero: Theory and Simulation Speaker: Benjamin Maxwell Fried, IFISC / UIB Abstract: &nbsp; In this thesis I explore a theoretical neurocognitively ground agent put forth by Joshua Epstein to advance social science research. In particular I begin to develop a probabilistic framework in which theoretical predictions can be made about the dynamics of Agent Zero. Furthermore, I study the collective behavior of an ensemble of Einstein&#39;s agents and compare the results with a modified version. Supervisor: Maxi San Miguel Jury: Tobias Galla, Maxi San Miguel, Raul Toral Presential in the IFISC meeting room (room 215), with parallel Zoom stream:&nbsp;https://zoom.us/j/98286706234?pwd=bm1JUFVYcTJkaVl1VU55L0FiWDRIUT09 Url event:https://ifisc.uib-csic.es/en/events/seminars/analysis-and-the-action-curve-of-agent-zero-theory/

1 0

IFISC Seminar on Wednesday, Oct 26, 2022 at 14:30
by semfis＠ifisc.uib-csic.es 21 Oct '22

21 Oct '22

IFISC Seminar on Wednesday Oct 26, 2022 at 14:30 Place: IFISC Seminar Room Title: How not to construct functional brain networks Speaker: Onerva Korhonen, Aalto University Abstract: Human brain function relies on interactions between brain areas. Therefore, a complex network appears as a natural model for the brain, and network science indeed holds potential for understanding the brain. However, constructing a functional brain network is not trivial. I will address common problems in brain network construction, concentrating on a step that strongly affects obtained network properties: definition of network nodes. Using multiple fMRI datasets, I will show that the currently used node definition strategies produce nodes that suffer from low functional homogeneity, which may lead to spuriosity in observed network structure and data losses. Further, I will show that functional homogeneity changes in time, reflecting nodes&rsquo; roles in network topology. Finally, as a potential solution for node definition problem, I will introduce a flexible node definition strategy that accounts for the time-dependent nature of brain function. Presential seminar, with parallel Zoom stream:&nbsp;&nbsp;https://zoom.us/j/98286706234?pwd=bm1JUFVYcTJkaVl1VU55L0FiWDRIUT09 Url event:https://ifisc.uib-csic.es/en/events/seminars/how-not-to-construct-functional-brain-networks/

1 0

Reminder: Master Thesis, TODAY - Thursday, Oct 20, 2022 at 09:00
by semfis＠ifisc.uib-csic.es 20 Oct '22

20 Oct '22

Master Thesis on Thursday Oct 20, 2022 at 09:00 Place: IFISC Seminar Room Title: Network-based measure of the finite size Lyapunov exponent Speaker: Joan Antich Navarro, IFISC Abstract: Supervisors: Enrico Ser-Giacomi, Crist&oacute;bal L&oacute;pez Jury: Emilio Hern&aacute;ndez-Garc&iacute;a, Tom&aacute;s Sintes, Crist&oacute;bal L&oacute;pez Presential Url event:https://ifisc.uib-csic.es/en/events/seminars/network-based-measure-of-the-finite-size-lyapunov/

1 0

Reminder: Outreach Event, TODAY - Thursday, Oct 20, 2022 at 19:00
by semfis＠ifisc.uib-csic.es 20 Oct '22

20 Oct '22

Outreach Event on Thursday Oct 20, 2022 at 19:00 Place: Sala Mozart, Auditorium de Palma Title: CCS: Complejidad para Comprender la Sociedad Speaker: Anxo Sánchez, Marta González, Ernesto Estrada, Universidad Carlos III, UC Berkeley, IFISC Abstract: El jueves 21, en la Sala Mozart del Auditorio, a las 19 horas, tendr&aacute; lugar una sesi&oacute;n de divulgaci&oacute;n abierta al p&uacute;blico en general. La sesi&oacute;n, destinada a acercar la ciencia a la sociedad, se titula &quot;<a href="https://ifisc.uib-csic.es/documents/1471/ccs-outreach-poster.jpg">Complejidad para Comprender la Sociedad</a>&quot;, e incluye las charlas &quot;World Wide Waste Web: Red de comercio internacional de basuras&quot; de Ernesto Estrada (IFISC); &quot;Leyes de Movilidad Humana: desde el individuo a emisiones vehiculares en ciudades&quot; de Marta Gonz&aacute;lez (UC Berkeley y Lawrence Berkeley National Laboratory) y &quot;Aquellos maravillosos a&ntilde;os: los c&iacute;rculos de Dunbar y las amistades en el instituto&quot; de Anxo S&aacute;nchez (Universidad Carlos III).&nbsp; Url event:https://ifisc.uib-csic.es/en/events/seminars/ccs-complejidad-para-comprender-la-sociedad/

1 0

Reminder: Master Thesis, TODAY - Friday, Oct 14, 2022 at 14:00
by semfis＠ifisc.uib-csic.es 14 Oct '22

14 Oct '22

Master Thesis on Friday Oct 14, 2022 at 14:00 Place: Zoom Seminar Title: Network analysis of marine megafauna movement Speaker: Lina Estefanía Navarro Alvarado, IFISC Abstract: Online TFM defense <a href="https://uibuniversitat.zoom.us/j/94416625961?pwd=aXJTS1pUTm5ZWEdwMFEweXVWcFVpUT09">https://uibuniversitat.zoom.us/j/94416625961?pwd=aXJTS1pUTm5ZWEdwMFEweXVWcFVpUT09</a> Url event:https://ifisc.uib-csic.es/en/events/seminars/network-analysis-of-marine-megafauna-movement/

1 0

Reminder: Master Thesis, TODAY - Friday, Oct 14, 2022 at 11:00
by semfis＠ifisc.uib-csic.es 14 Oct '22

14 Oct '22

Master Thesis on Friday Oct 14, 2022 at 11:00 Place: IFISC Seminar Room Title: Partisan Voter Model: Noise-Induced Transitions Speaker: Jaume Llabrés Rubio, IFISC / UIB Abstract: Supervisors:&nbsp;&nbsp;Ra&uacute;l Toral,&nbsp;Maxi San Miguel Jury:&nbsp;David S&aacute;nchez,&nbsp;Tobias Galla,&nbsp;Ra&uacute;l Toral Presential, with parallel Zoom stream:&nbsp;&nbsp; https://zoom.us/j/98286706234?pwd=bm1JUFVYcTJkaVl1VU55L0FiWDRIUT09 Url event:https://ifisc.uib-csic.es/en/events/seminars/partisan-voter-model-noise-induced-transitions/

1 0

Reminder: Master Thesis, TODAY - Monday, Oct 10, 2022 at 12:00
by semfis＠ifisc.uib-csic.es 10 Oct '22

10 Oct '22

Master Thesis on Monday Oct 10, 2022 at 12:00 Place: Zoom Seminar Title: Multilayer analysis of online social interactions Speaker: José María Ramos Fernández, IFISC (CSIC-UIB) Abstract: Abstract: the development of online platforms and our capacity to collect data of individuals from these has drastically changed the way scientist explore human society. Social systems can be understood as a superposition of various social networks, where nodes and edges represent individuals and their social relations, respectively. While these networks have been mainly studied as aggregates, only recently new theoretical frameworks have allowed to understand their multidimensional nature. In this work, we analyze a multirrelational social system from a massive multiplayer online game, consisting on three networks of different types of one-to-one interactions (friendship, communication and trade). Firstly, we study their structure separately using the usual single-layer approach. We find that two of them have a very similar structure while the third one is denser and presents a slightly different connectivity pattern. For the second part, we implement measurements that consider the multidimensional nature of the system and give insights on how players behave differently depending on the interaction under consideration. The results obtained with these measures indicate that players behave similarly in all the different layers, but that they do so with different people. Supervisor: Sandro Meloni Jury: Pere Colet, Manuel A. Matias, and Sandro Meloni The defense will be online through Zoom: https://uibuniversitat.zoom.us/j/92162537570?pwd=VnRuSUhtSm1ib3p1enpaTTJhb2… Url event:https://ifisc.uib-csic.es/en/events/seminars/multilayer-analysis-of-online-social-interactions/

1 0

Master Thesis on Monday, Oct 10, 2022 at 12:00
by semfis＠ifisc.uib-csic.es 07 Oct '22

07 Oct '22

Master Thesis on Monday Oct 10, 2022 at 12:00 Place: Zoom Seminar Title: Multilayer analysis of online social interactions Speaker: José María Ramos Fernández, IFISC (CSIC-UIB) Abstract: Abstract: the development of online platforms and our capacity to collect data of individuals from these has drastically changed the way scientist explore human society. Social systems can be understood as a superposition of various social networks, where nodes and edges represent individuals and their social relations, respectively. While these networks have been mainly studied as aggregates, only recently new theoretical frameworks have allowed to understand their multidimensional nature. In this work, we analyze a multirrelational social system from a massive multiplayer online game, consisting on three networks of different types of one-to-one interactions (friendship, communication and trade). Firstly, we study their structure separately using the usual single-layer approach. We find that two of them have a very similar structure while the third one is denser and presents a slightly different connectivity pattern. For the second part, we implement measurements that consider the multidimensional nature of the system and give insights on how players behave differently depending on the interaction under consideration. The results obtained with these measures indicate that players behave similarly in all the different layers, but that they do so with different people. Supervisor: Sandro Meloni Jury: Pere Colet, Manuel A. Matias, and Sandro Meloni The defense will be online through Zoom: https://uibuniversitat.zoom.us/j/92162537570?pwd=VnRuSUhtSm1ib3p1enpaTTJhb2… Url event:https://ifisc.uib-csic.es/en/events/seminars/multilayer-analysis-of-online-social-interactions/

1 0

Reminder: Master Thesis, TODAY - Wednesday, Oct 05, 2022 at 12:15
by semfis＠ifisc.uib-csic.es 05 Oct '22

05 Oct '22

Master Thesis on Wednesday Oct 05, 2022 at 12:15 Place: IFISC Seminar Room Title: Epidemiological approach to tau propagation in Alzheimer’s disease Speaker: Gorka Buenvarón Campo, IFISC Abstract: Alzheimer&rsquo;s disease (AD) is a neurodegenerative disorder characterized by the deposition, over decades, of pathogenic forms of two proteins, amyloid-beta and misfolded tau. The study focuses on the misfolded forms of tau within neurons and considers the so called prionic hypothesis:&nbsp;a pathological tau molecule may induce its misfolding in a healthy tau protein. The transmission of the misfolded tau molecules through synapses is also considered. Thus, an epidemic model that considers epidemic transmission among 5 areas in the brain (for a single hemisphere) is set up: Entorhinal Cortex (EC), Hyppocampus, Inferior Temporal Gyrus, Middle Frontal Gyrus and Calcarine Cortex. The model uses both available experimental neurochemical information, that quantifies excitation and inhibition, and neuroimaging data as a proxy of inter-region connectivity. The model is very predictive in determining the main experimentally available information, that is the sequence in which the disease appears starting from the known area where it originates (EC). Supervisors: Jos&eacute; Javier Ramasco, Manuel A. Matias, and Alfredo Ramos Miguel Jury members: Claudio Mirasso, Sandro Meloni, and Manuel A. Matias The defense will be presential and will be broadcasted through Zoom: https://zoom.us/j/98286706234?pwd=bm1JUFVYcTJkaVl1VU55L0FiWDRIUT09 Url event:https://ifisc.uib-csic.es/en/events/seminars/epidemiological-approach-to-tau-propagation-in-alz/

1 0

Reminder: IFISC Seminar, TODAY - Wednesday, Oct 05, 2022 at 14:30
by semfis＠ifisc.uib-csic.es 05 Oct '22

05 Oct '22

IFISC Seminar on Wednesday Oct 05, 2022 at 14:30 Place: IFISC Seminar Room Title: Synchronization in complex networks under uncertainty Speaker: Lluís Arola Fernández , IFISC Abstract: The theory behind the synchronization of network-coupled oscillators is solid and has significantly advanced lately, especially in the mean-field problem. However, real systems have complex interactions that difficult the analytical treatment. Most existing results rely on black-boxes that hinder interpretation and require global information, while available data is usually incomplete. In this seminar, I will overview some results of my PhD thesis motivated by these limitations, including methods to predict the non-linear amplification of noise from network weights to the synchronization onset and the role of dyadic and higher-order interactions in synchrony optimization, a geometric unfolding of the synchronized state which explains the emergence of synchronization bombs, and algebraic shortcuts to find critical points using rank-reduced network models. These tools also unveil some mechanistic explanations that were hidden behind the prevalent assumptions of complete information.&nbsp; &nbsp; Presential seminar, with parallel Zoom stream:&nbsp;&nbsp; https://zoom.us/j/98286706234?pwd=bm1JUFVYcTJkaVl1VU55L0FiWDRIUT09 Url event:https://ifisc.uib-csic.es/en/events/seminars/synchronization-in-complex-networks-under-uncertai/

1 0