Exploració per tema "Computational neuroscience"

Ara es mostren els items 1-20 de 21

    • Advanced vector architectures for future applications 

      Arriaga-Valera, Enrique; Espinosa-Oviedo, Javier A.; Vargas-Solar, Genoveva; Dávila-Pérez, Rogelio (Barcelona Supercomputing Center, 2017-05-04)
      Text en actes de congrés
      Accés obert
      Although there has been a lot of progress in the domain of automatic knowledge discovery (e.g., deep learning), we believe humans play a central role in the data analysis task. Therefore, we propose to build a visual stream ...

    • An integrative model for perceptual decision-making and movement 

      Garcia-Duran Castilla, Alexandre (Universitat Politècnica de Catalunya, 2023-06)
      Projecte Final de Màster Oficial
      Accés obert
      Actuar en el món natural requereix no només decidir entre diverses opcions, sinó també convertir les decisions en comandaments motors. La relació entre la dinàmica de la formació de decisions i la cinemàtica del moviment ...

    • Analytical and computational tools for the study of phase and synchrony in neural oscillators 

      Castejón Company, Oriol (Universitat Politècnica de Catalunya, 2010-10)
      Projecte Final de Màster Oficial
      Accés obert
      En aquest treball es pretén donar una visió de les aplicacions dels sistemes dinàmics en el camp de la neurociència, així com ampliar les eines que s'utilitzen fins ara. En el primer capítol es descriu el marc teòric on ...

    • Breast cancer detection using machine learning with thermograms in an edge computing scenario 

      Tahmooresi, Maryam; Remondo Bueno, David; Alcober Segura, Jesús Ángel (Association for Computing Machinery (ACM), 2021)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      The second cause of death in the world is cancer. Although breast cancer is the more common cause of death among women, the chance of survival can be increased by detecting cancer in the early stages. For this aim, there ...

    • Communication through coherence in a realistic neuronal model 

      Reyner Parra, David (Universitat Politècnica de Catalunya, 2020-07)
      Projecte Final de Màster Oficial
      Accés obert
      The Communication Through Coherence (CTC) theory establishes that neural communication is much effective if the underlying oscillatory activity of both populations are phase locked, that is, the input from the emitting ...

    • Complex spatiotemporal oscillations emerge from transverse instabilities in large-scale brain networks 

      Clusella Coberó, Pau; Deco, Gustavo; Kringelbach, Morten L.; Ruffini, Giulio; García Ojalvo, Jordi (Public Library of Science (PLOS), 2023-04-12)
      Article
      Accés obert
      Spatiotemporal oscillations underlie all cognitive brain functions. Large-scale brain models, constrained by neuroimaging data, aim to trace the principles underlying such macroscopic neural activity from the intricate and ...

    • Computer-based cognitive rehabilitation: the CoRe system 

      Alloni, Anna; Sinforiani, Elena; Zuchella, Chiara; Sandrini, Giorgio; Bernini, Sara; Cattani, Barbara; Tost Pardell, Daniela; Quaglini, Silvana; Pistarini, Caterina (2015-10-27)
      Article
      Accés obert
      This work aims at providing a tool for supporting cognitive rehabilitation. This is a wide field, that includes a variety of diseases and related clinical pictures; for this reason the need arises to have a tool available ...

    • Data-driven model of endogenous and exogenous electric fields modulation of cerebral cortex activity 

      Colom Hernández, Jaume (Universitat Politècnica de Catalunya, 2021-07)
      Projecte Final de Màster Oficial
      Accés restringit per acord de confidencialitat
      Realitzat a/amb:   Centre national de la recherche scientifique / Institut d'Investigacions Biomèdiques August Pi i Sunyer
      This work aims to introduce and study a mathematical model of the brain cortex, that shows the oscillation(synchronisation) behaviour of the brain via the influence of internal (endogenous) and external (exogenous)electric ...

    • Design of a drone's control with a neuronal headset: searching the future technology 

      Fernández Serra, Enrique (Universitat Politècnica de Catalunya, 2015-06-30)
      Treball Final de Grau
      Accés obert
      The project is about combining new engineering technologies with healthy investigation, using Brain Computer Interface (BCI) readings from a project external device. As a pilot project, a drone is going to be controlled ...

    • Detection of dynamical states of neuronal networks with persistent homology tools 

      Gutiérrez Von Porat, Nils (Universitat Politècnica de Catalunya, 2021-07)
      Projecte Final de Màster Oficial
      Accés obert
      The Brunel network is a neuronal network model composed of excitatory and inhibitory leaky integrate-and-fire spiking neurons. This network is known to present four distinguished activity states, which can be mainly described ...

    • Effects of short-term plasticity in UP-DOWN cortical dynamics 

      Vich Llompart, Catalina; Giossi, Cristina; Massobrio, Paolo; Guillamon Grabolosa, Antoni (2023-06-15)
      Article
      Accés obert
      Neuronal dynamics are strongly influenced by short-term plasticity (STP), that is, changes in synaptic efficacy that occur on a short (from milliseconds to seconds) time scale. Depending on the brain areas considered, STP ...

    • Estimation of a linear-nonlinear-poisson neural encoding model for motor brain-iachine interfaces 

      Cavallé Salvadó, Mireia (Universitat Politècnica de Catalunya, 2022-02)
      Treball Final de Grau
      Accés obert
      Realitzat a/amb:   Hong Kong University of Science and Technology
      En els últims anys, la demanda de pròtesis que substitueixin extremitats no funcionals en els éssers humans ha augmentat considerablement. Per controlar-les amb l'activitat neuronal del cervell, alguns estudis sobre ...

    • Estimation of synaptic activity during neuronal oscillations 

      Guillamon Grabolosa, Antoni; Vich Llompart, Catalina; Prohens Sastre, Rafel; Teruel Aguilar, Antonio E. (Multidisciplinary Digital Publishing Institute (MDPI), 2020-11-24)
      Article
      Accés obert
      In the study of brain connectivity, an accessible and convenient way to unveil local functional structures is to infer the time trace of synaptic conductances received by a neuron by using exclusively information about its ...

    • Improving object segmentation by using EEG signals and rapid serial visual presentation 

      Mohedano, Eva; Healy, Graham; McGuinness, Kevin; Giró Nieto, Xavier; O'Connor, Noel; Smeaton, Alan F. (2015-07-31)
      Article
      Accés obert
      This paper extends our previous work on the potential of EEG-based brain computer interfaces to segment salient objects in images. The proposed system analyzes the Event Related Potentials (ERP) generated by the rapid ...

    • Integration of the information in complex neural networks with noise 

      Grau Moya, Jordi (Universitat Politècnica de Catalunya, 2011-09)
      Projecte/Treball Final de Carrera
      Accés obert

    • Intrinsic functional brain connectivity changes following aerobic exercise, computerized cognitive training, and their combination in physically inactive healthy late-middle-aged adults: the Projecte Moviment 

      Dimitriadis, Stavros; Castells Sánchez, Alba; Roig Coll, Francesca; Dacosta Aguayo, Rosalía; Lamonja Vicente, Noemí; Toran Monserrat, Pere; García Molina, Alberto; Monte Rubio, Gemma; Stillman, Chelsea; Perera Lluna, Alexandre; Mataro Serrat, Maria (Springer Nature, 2023-10-23)
      Article
      Accés obert
      Lifestyle interventions have positive neuroprotective effects in aging. However, there are still open questions about how changes in resting-state functional connectivity (rsFC) contribute to cognitive improvements. The ...

    • Noise-induced up/down dynamics in scale-free neuronal networks 

      Grau Moya, Jordi; Pons Rivero, Antonio Javier; García Ojalvo, Jordi (2012-07-31)
      Article
      Accés obert
      Cortical neuronal networks are known to exhibit regimes of dynamical activity characterized by periods of elevated firing (up states) separated by silent phases (down states). Here, we show that up/down dynamics may emerge ...

    • Oscillatory dynamics with applications to cognitive tasks 

      Suárez Segarra, Andrea (Universitat Politècnica de Catalunya, 2022-10)
      Projecte Final de Màster Oficial
      Accés obert
      Oscillations are ubiquitous in the brain and robustly correlate with distinct cognitive tasks. A specific type of oscillatory signals allows robust switching between states in networks involved in memorizing tasks. In ...

    • Synaptic depression and slow oscillatory activity in a biophysical network model of the cerebral cortex 

      Benita, Jose M.; Guillamon Grabolosa, Antoni; Deco, Gustavo; Sánchez-Vives, Maria V. (2012-08-28)
      Article
      Accés obert
      Short-termsynapticdepression(STD)isaformofsynapticplasticitythathasalargeimpactonnetworkcomputations.ExperimentalresultssuggestthatSTDismodulatedbycorticalactivity,decreasingwithactivityinthenetworkandincreasingduringsil ...

    • The Hopf whole-brain model and its linear approximation 

      Ponce Álvarez, Adrián Fernando; Deco, Gustavo (Springer Nature, 2024-01-31)
      Article
      Accés obert
      Whole-brain models have proven to be useful to understand the emergence of collective activity among neural populations or brain regions. These models combine connectivity matrices, or connectomes, with local node dynamics, ...