- Materia-seminarios

Seminario: "Higher-Order Kuramoto dynamics on Simplicial Complexes"
by Daniel Manzano 25 Jan '22

25 Jan '22

El Grupo de Física Estadística de los Sistemas Complejos les invita al siguiente seminario: Ponente: Prof. Dr. Joaquín J. Torres. Universidad de Granada. Título: Higher-Order Kuramoto dynamics on Simplicial Complexes Resumen: In this talk, I report some of our recent findings concerning the emergence of synchronization transition in higher-order Kuramoto dynamics on simplicial complexes. The higher-order interactions of complex systems, such as the brain, are captured by their simplicial complex structure and have a significant effect on dynamics. Most of the existing dynamical models defined on simplicial complexes make the strong assumption that the dynamics resides exclusively on the nodes, which is a strong simplification. Here we formulate the higher-order Kuramoto model which describes the interactions between oscillators placed not only on nodes but also on links, triangles, and so on. We explore conditions in which higher-order Kuramoto dynamics can lead to an explosive synchronization transition which is achieved using an adaptive coupling dependent on the solenoidal and the irrotational component of the dynamics. Fecha y hora: Jueves 27 de Enero, 11:00. Lugar: Laboratorio de Física Computacional. Área de Física de la Materia. Planta baja del edificio de Física. Facultad de Ciencias. Enlace: https://meet.google.com/ipo-xbfr-drz <https://meet.google.com/ipo-xbfr-drz> Atentamente, --------------------------------------------------------------------------------- Daniel Manzano Electromagnetism and Condensed Matter Department Institute “Carlos I” for Theoretical and Computational Physics University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 http://ic1.ugr.es/manzano/ <http://ic1.ugr.es/manzano/>

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Recordatorio: From integrability to chaos in quantum Liouvillians.
by Daniel Manzano 23 Nov '21

23 Nov '21

El Grupo de Información y Termodinámica Cuántica de la Universidad de Granada les invita al siguiente seminario: Ponente: Rafael A. Molina Fernández. Instituto de Estructura de la Materia, CSIC, Madrid. Título: From integrability to chaos in quantum Liouvillians. Resumen: The dynamics of open quantum systems can be described by a Liouvillian, which in the Markovian approximation fulfills the Lindblad master equation. We present a family of integrable many-body Liouvillians based on Richardson-Gaudin models with a complex structure of the jump operators. Making use of this new region of integrability, we study the transition to chaos in terms of a two-parameter Liouvillian. The transition is characterized by the spectral statistics of the complex eigenvalues of the Liouvillian operators using the nearest neighbor spacing distribution and by the ratios between eigenvalue distances. Fecha y hora: Miércoles 24 de Noviembre, 12:00. Lugar: Laboratorio de Computación del Área de Física de la Materia. Planta baja del edificio de Física. Facultad de Ciencias. El seminario será presencial (hasta completar aforo) y se podrá también seguir por meet en el siguiente link: https://meet.google.com/kye-ynsm-vzd Atentamente, --------------------------------------------------------------------------------- Daniel Manzano Electromagnetism and Condensed Matter Department Institute “Carlos I” for Theoretical and Computational Physics University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 http://ic1.ugr.es/manzano/ <http://ic1.ugr.es/manzano/>

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Seminario: From integrability to chaos in quantum Liouvillians.
by Daniel Manzano 22 Nov '21

22 Nov '21

El Grupo de Información y Termodinámica Cuántica de la Universidad de Granada les invita al siguiente seminario: Ponente: Rafael A. Molina Fernández. Instituto de Estructura de la Materia, CSIC, Madrid. Título: From integrability to chaos in quantum Liouvillians. Resumen: The dynamics of open quantum systems can be described by a Liouvillian, which in the Markovian approximation fulfills the Lindblad master equation. We present a family of integrable many-body Liouvillians based on Richardson-Gaudin models with a complex structure of the jump operators. Making use of this new region of integrability, we study the transition to chaos in terms of a two-parameter Liouvillian. The transition is characterized by the spectral statistics of the complex eigenvalues of the Liouvillian operators using the nearest neighbor spacing distribution and by the ratios between eigenvalue distances. Fecha y hora: Miércoles 24 de Noviembre, 12:00. Lugar: Laboratorio de Computación del Área de Física de la Materia. Planta baja del edificio de Física. Facultad de Ciencias. El seminario será presencial (hasta completar aforo) y se podrá también seguir por meet en el siguiente link: https://meet.google.com/kye-ynsm-vzd <https://meet.google.com/kye-ynsm-vzd> Atentamente, --------------------------------------------------------------------------------- Daniel Manzano Electromagnetism and Condensed Matter Department Institute “Carlos I” for Theoretical and Computational Physics University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 http://ic1.ugr.es/manzano/ <http://ic1.ugr.es/manzano/>

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Fwd: [InfoiC1] ciclo iC1 FRONTERAS DE LA FÍSICA
by Daniel Manzano 04 Nov '21

04 Nov '21

--------------------------------------------------------------------------------- Daniel Manzano Electromagnetism and Condensed Matter Department Institute “Carlos I” for Theoretical and Computational Physics University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 http://ic1.ugr.es/manzano/ <http://ic1.ugr.es/manzano/> > Begin forwarded message: > > From: Pablo Hurtado Fernández <phurtado(a)onsager.ugr.es> > Subject: [InfoiC1] ciclo iC1 FRONTERAS DE LA FÍSICA > Date: 4. November 2021 at 11:16:32 CET > To: Información general del iC1 <infoic1(a)onsager.ugr.es> > > Ciclo FRONTERAS DE LA FÍSICA > > Título: Modelos de polimerización de proteínas en el ámbito de enfermedades neurodegenerativas > > Ponente: Prof. Juan Calvo, Departamento de Matemática Aplicada (UGR) > > Los procesos de polimerización de proteínas juegan un papel importante en varias disciplinas científicas. En esta charla presentamos distintos modelos cuantitativos, tanto discretos como continuos, para describir tales procesos en el ámbito de las enfermedades neurodegenerativas. Varias de estas familias de modelos se han intentado utilizar para determinar los esquemas de reacción más plausibles a partir de las observaciones experimentales disponibles. Discutiremos las propiedades matemáticas de tales modelos junto con posibles estrategias de calibración para los mismos. > > Día: viernes 12 de Noviembre de 2020 > Hora: 12:30 > Lugar: aula F-1 (Física) > > Link a la web <https://ic1.es/index.php/categoria/fronteras-de-la-fisica/> > > > > > > ------------------------------------------------------------ > Pablo I. Hurtado > > Profesor Titular > Depto. de Electromagnetismo y Física de la Materia > Instituto Carlos I de Física Teórica y Computacional > Universidad de Granada > > Avenida Fuentenueva, 18071 Granada (España) > > Tel: +34 958 241000 - ext 20189 > Email: phurtado(a)onsager.ugr.es <mailto:phurtado@onsager.ugr.es> > Web: http://ic1.ugr.es/phurtado <http://ic1.ugr.es/phurtado> > ------------------------------------------------------------ > > > > > _______________________________________________ > Infoic1 mailing list > Infoic1(a)onsager.ugr.es > https://onsager.ugr.es/mailman/listinfo/infoic1

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Recordatorio de seminario: Modeling brain reorganization after hemispherectomy.
by Daniel Manzano 15 Sep '21

15 Sep '21

El Grupo de Física Estadística y de los Sistemas Complejos les invita a asistir al siguiente seminario. Se realizará de manera presencial (por orden de llegada hasta cubrir el aforo) y simultáneamente por la plataforma Meet. Fecha y hora: Jueves 16 Septiembre, 12.00 h Ponente: LUIS SEOANE (CNB-SCSIC) Título: Modeling brain reorganization after hemispherectomy. Abstract: Hemispherectomy is a last-resource treatment for some neurological disorders. This radical intervention allows some patients to live normally, with better odds the earlier in life it happens. Somehow, the remaining hemisphere takes on the outstanding computational burden. Brain plasticity at smaller scales shows how functionality is adopted by adjacent tissue. In models of brain rewiring after stroke, circuits accepting new workload are close and similar to the damaged ones. Hemispherectomy demands more drastic changes, mixing far and functionally diverse regions. We lack mathematical models of this. We introduce a simple model of brain reorganization after hemispherectomy based on Self-Organized Maps (SOMs). We show how emerging representations in SOMs constrain brain reorganization after simulated hemispherectomy, resulting in some forbidden and some other favored rearrangement pathways, each with distinct symmetries and properties. We discuss what the enabled paths imply for the recovery of topographic maps and language functionality after hemispherectomy. We find how too much symmetry can be detrimental for the proper formation of representation systems. We also obtain results regarding the existence of window periods – a critical age after which hemispherectomy causes irreversible function loss. These findings illuminate various (hitherto unexplained) clinical facts about window periods for language recovery. Our model offers a powerful thinking tool and suggests simple guiding principles for large-scale brain plasticity – notably, that the geometry of emerging representations turns into topological constraints for large-scale brain rearrangement. This offers insights about why such an aggressive intervention results in highly functional brains nevertheless, and suggests specific treatments for simulated, pathological disorders observed in our SOM models. Lugar: Aula de Física Computacional. Departamento de Física de la Materia. Planta baja del edificio de Física. Facultad de Ciencias. Link: https://meet.google.com/drx-hnze-fpo <https://meet.google.com/drx-hnze-fpo> Atentamente, --------------------------------------------------------------------------------- Daniel Manzano Electromagnetism and Condensed Matter Department Institute “Carlos I” for Theoretical and Computational Physics University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 http://ic1.ugr.es/manzano/ <http://ic1.ugr.es/manzano/>

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Seminario: Modeling brain reorganization after hemispherectomy.
by Daniel Manzano 13 Sep '21

13 Sep '21

El Grupo de Física Estadística y de los Sistemas Complejos les invita a asistir al siguiente seminario. Se realizará de manera presencial (por orden de llegada hasta cubrir el aforo) y simultáneamente por la plataforma Meet. Fecha y hora: Jueves 16 Septiembre, 12.00 h Ponente: LUIS SEOANE (CNB-SCSIC) Título: Modeling brain reorganization after hemispherectomy. Abstract: Hemispherectomy is a last-resource treatment for some neurological disorders. This radical intervention allows some patients to live normally, with better odds the earlier in life it happens. Somehow, the remaining hemisphere takes on the outstanding computational burden. Brain plasticity at smaller scales shows how functionality is adopted by adjacent tissue. In models of brain rewiring after stroke, circuits accepting new workload are close and similar to the damaged ones. Hemispherectomy demands more drastic changes, mixing far and functionally diverse regions. We lack mathematical models of this. We introduce a simple model of brain reorganization after hemispherectomy based on Self-Organized Maps (SOMs). We show how emerging representations in SOMs constrain brain reorganization after simulated hemispherectomy, resulting in some forbidden and some other favored rearrangement pathways, each with distinct symmetries and properties. We discuss what the enabled paths imply for the recovery of topographic maps and language functionality after hemispherectomy. We find how too much symmetry can be detrimental for the proper formation of representation systems. We also obtain results regarding the existence of window periods – a critical age after which hemispherectomy causes irreversible function loss. These findings illuminate various (hitherto unexplained) clinical facts about window periods for language recovery. Our model offers a powerful thinking tool and suggests simple guiding principles for large-scale brain plasticity – notably, that the geometry of emerging representations turns into topological constraints for large-scale brain rearrangement. This offers insights about why such an aggressive intervention results in highly functional brains nevertheless, and suggests specific treatments for simulated, pathological disorders observed in our SOM models. Lugar: Aula de Física Computacional. Departamento de Física de la Materia. Planta baja del edificio de Física. Facultad de Ciencias. Link: https://meet.google.com/drx-hnze-fpo Atentamente, --------------------------------------------------------------------------------- Daniel Manzano Electromagnetism and Condensed Matter Department Institute “Carlos I” for Theoretical and Computational Physics University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 http://ic1.ugr.es/manzano/

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Conference: Modeling brain reorganization after hemispherectomy.
by Daniel Manzano 13 Sep '21

13 Sep '21

El Grupo de Física Estadística y de los Sistemas Complejos les invita a asistir al siguiente seminario. Se realizará de manera presencial (por orden de llegada hasta cubrir el aforo) y simultáneamente por la plataforma Meet. Fecha y hora: Jueves 16 Septiembre, 12.00 h Ponente: LUIS SEOANE (CNB-SCSIC) Título: Modeling brain reorganization after hemispherectomy. Abstract: Hemispherectomy is a last-resource treatment for some neurological disorders. This radical intervention allows some patients to live normally, with better odds the earlier in life it happens. Somehow, the remaining hemisphere takes on the outstanding computational burden. Brain plasticity at smaller scales shows how functionality is adopted by adjacent tissue. In models of brain rewiring after stroke, circuits accepting new workload are close and similar to the damaged ones. Hemispherectomy demands more drastic changes, mixing far and functionally diverse regions. We lack mathematical models of this. We introduce a simple model of brain reorganization after hemispherectomy based on Self-Organized Maps (SOMs). We show how emerging representations in SOMs constrain brain reorganization after simulated hemispherectomy, resulting in some forbidden and some other favored rearrangement pathways, each with distinct symmetries and properties. We discuss what the enabled paths imply for the recovery of topographic maps and language functionality after hemispherectomy. We find how too much symmetry can be detrimental for the proper formation of representation systems. We also obtain results regarding the existence of window periods – a critical age after which hemispherectomy causes irreversible function loss. These findings illuminate various (hitherto unexplained) clinical facts about window periods for language recovery. Our model offers a powerful thinking tool and suggests simple guiding principles for large-scale brain plasticity – notably, that the geometry of emerging representations turns into topological constraints for large-scale brain rearrangement. This offers insights about why such an aggressive intervention results in highly functional brains nevertheless, and suggests specific treatments for simulated, pathological disorders observed in our SOM models. Link: https://meet.google.com/drx-hnze-fpo <https://meet.google.com/drx-hnze-fpo> Atentamente, --------------------------------------------------------------------------------- Daniel Manzano Electromagnetism and Condensed Matter Department Institute “Carlos I” for Theoretical and Computational Physics University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 http://ic1.ugr.es/manzano/ <http://ic1.ugr.es/manzano/>

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Fwd: Invitación seminario Ana Valdivia: ¿Está la inteligencia artificial vulnerando los derechos LGTBIQ+?
by Daniel Manzano 03 Sep '21

03 Sep '21

--------------------------------------------------------------------------------- Daniel Manzano Electromagnetism and Condensed Matter Department Institute “Carlos I” for Theoretical and Computational Physics University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 http://ic1.ugr.es/manzano/ <http://ic1.ugr.es/manzano/> > Begin forwarded message: > > From: Juani Bermejo Vega <jbermejovega(a)go.ugr.es> > Subject: Invitación seminario Ana Valdivia: ¿Está la inteligencia artificial vulnerando los derechos LGTBIQ+? > Date: 1. September 2021 at 19:16:19 CEST > To: materia(a)onsager.ugr.es, Daniel Manzano <manzano(a)onsager.ugr.es> > > Estimades compañeres, > > Os deseamos un buen retorno a la Universidad y os invitamos al siguiente seminario (semipresencial), que organizamos Dani y yo con una colaboradora que nos visita de King´s College. Ruego que me escribáis si deseáis asistir en persona ya que el aforo presencial estará limitado (aún no sabemos cuántas plazas habrá). > > ¿Está la inteligencia artificial vulnerando los derechos LGTBIQ+? > Hacia una mirada interseccional, decolonial y feminista de los algoritmos > > Ponente: Ana Valdivia, King’s College London. > Modera: Jara Juana Bermejo-Vega, Universidad de Granada > Cuándo: 6 de septiembre · 12:00 –13:00, UTC+02:00 > > ¿Cómo asistir?: > Online: https://meet.google.com/nmy-uace-mgh <https://meet.google.com/nmy-uace-mgh> > Presencialmente (con registro): Aula F1, Facultad de Ciencias de la Universidad de Granada > > Registro: por email a jbermejovega(a)go.ugr.es <mailto:jbermejovega@go.ugr.es> > > Abstract: En la última década, el avance de la inteligencia artificial (IA) y su uso por parte de élites económicas y gubernamentales ha presentado diferentes conflictos éticos vulnerando los derechos humanos de colectivos históricamente oprimidos, como el LGTBIQ+. Desde algoritmos que clasifican incorrectamente cuerpos trans en escáners de seguridad hasta sistemas de reconocimiento facial diseñado para clasificar nuestra orientación sexual muestran la falta de una mirada feminista y el exceso de tecno-solucionismo dentro de los equipos que diseñan y contratan estas tecnologías. > En esta ponencia, analizaremos la historia y epistemología de sistemas socio-técnicos que impactan directamente en las vidas no normativas. Exploraremos diferentes proyectos basados en inteligencia artificial y evaluaremos sus riesgos y limitaciones desde una mirada interseccional, decolonial y feminista. Por último, propondremos qué modelos de transparencia y rendición de cuentas podemos aplicar para litigar algoritmos que vulneren nuestros derechos. > > Bio: Ana Valdivia es investigadora asociada en el Departamento de War Studies del King's College London, dónde investiga el uso de la inteligencia artificial en procesos migratorios. Es doctora en Machine Learning por la Universidad de Granada. Su investigación ha explorado el uso de algoritmos para el análisis de textos, y más recientemente el diseño de sistemas socio-técnicos que sean éticos, transparentes y justos. Preocupada por el impacto que la inteligencia artificial puede tener en comunidades vulnerables, su interés radica en investigar cómo los actores gubernamentales la están implementando desde una perspectiva interdisciplinar, colaborando con investigadoras de otras disciplinas dentro de las ciencias sociales y la filosofía. Ana también forma parte del colectivo Algorights, una comunidad creada para alertar sobre el riesgo de la inteligencia artificial. > > Mapa de la Facultad: https://defc.ugr.es/sites/serv/defc/public/inline-files/Mapa_Fciencias.pdf <https://defc.ugr.es/sites/serv/defc/public/inline-files/Mapa_Fciencias.pdf> > > Protocolo: > Se seguirá el protocolo COVID-19 de la facultad de ciencias https://fciencias.ugr.es/facultad/covid-19 <https://fciencias.ugr.es/facultad/covid-19> > El aforo es limitado: se dará prioridad a miembros de la UGR e investigadores que trabajen en la materia. > > Atentamente, > Jara Juana > >

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Seminar: Overfitting mitigation in correlation matrices and applications to the study of brain connectivity.
by Daniel Manzano 25 Jun '21

25 Jun '21

El grupo de Física Estadística de los sistemas Complejos les invita al siguiente seminario (online y presencial): Speaker: Dr. Miguel Ibáñez, ISTC-CNR (Italy). Title: Overfitting mitigation in correlation matrices and applications to the study of brain connectivity Abstract: We compare various known and original strategies of overfitting mitigation in correlation matrices, in the context of brain functional connectivity. In particular, we infer a database of human brain activity from functional Magnetic Resonance Imaging (fMRI), beyond Maximum Likelihood inference and using the multivariate Gaussian as likelihood. We show that the relative algorithm performances are consistent across subjects, and across samples of a synthetic database of similar characteristics. We observe as well that the resulting cleaned correlation matrices, that are proposed as a refined model of functional connectivity, depend crucially on the cleaning algorithm. We discuss possible applications of these findings to network neuroscience. Date ant time: Monday, June 28th, 12:00. Place: Aula de ordenadores del Área de Física de la Materia (hasta completar aforo). Online: https://meet.google.com/ijd-agcd-rye <https://meet.google.com/ijd-agcd-rye> Atentamente, --------------------------------------------------------------------------------- Daniel Manzano Electromagnetism and Condensed Matter Department Institute “Carlos I” for Theoretical and Computational Physics University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 http://ic1.ugr.es/manzano/ <http://ic1.ugr.es/manzano/>

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Recordatorio de seminario: Macroscopically nonlocal quantum correlations.
by Daniel Manzano 10 Jun '21

10 Jun '21

El Grupo de Física Estadística de los sistemas Complejos les invita al siguiente seminario, que se realizará de manera presencial y online. Speaker: Miguel Gallego Ballester. University of Vienna. Title: Macroscopically nonlocal quantum correlations. Abstract: It is usually believed that coarse-graining of quantum correlations leads to classical correlations in the macroscopic limit. Such a principle, known as macroscopic locality, has been proved for correlations arising from independent and identically distributed (IID) entangled pairs. In this work we consider the generic (non-IID) scenario. We find that the Hilbert space structure of quantum theory can be preserved in the macroscopic limit. This leads directly to a Bell violation for coarse-grained collective measurements, thus breaking the principle of macroscopic locality. Reference: https://arxiv.org/abs/2104.03988#:~:text=It%20is%20usually%20believed%20tha… <https://arxiv.org/abs/2104.03988#:~:text=It%20is%20usually%20believed%20tha…> Date and time: Friday, June 11th. 10:00. Place: Aula de ordenadores del Área de Física de la Materia and in Google Meet: https://meet.google.com/bqi-vemu-gro <https://meet.google.com/bqi-vemu-gro> --------------------------------------------------------------------------------- Daniel Manzano Electromagnetism and Condensed Matter Department Institute “Carlos I” for Theoretical and Computational Physics University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 http://ic1.ugr.es/manzano/ <http://ic1.ugr.es/manzano/>

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