Now showing items 1-20 of 28

    • Anticipation via canards in excitable systems 

      Köksal Ersöz, E.; Desroches, M.Autoridad BCAM; Mirasso, C.; Rodrigues, S.Autoridad BCAM (2019-01-14)
      Neurons can anticipate incoming signals by exploiting a physiological mechanism that is not well understood. This article offers a novel explanation on how a receiver neuron can predict the sender’s dynamics in a ...
    • Application of Quantum Natural Language Processing for Language Translation 

      Abbaszade, M.; Salari, V.; Mousavi, S.S.; Zomorodi, M.; Zhou, X. (2021-01-01)
      In this paper, we develop compositional vector-based semantics of positive transitive sentences using quantum natural language processing (Q-NLP) to compare the parametrized quantum circuits of two synonymous simple sentences ...
    • Are Brain-Computer Interfaces Feasible withIntegrated Photonic Chips? 

      Salari, V.; Rodrigues, S.Autoridad BCAM; Saglamyurek, E.; Simon, C.; Oblak, D. (2021-11)
      The present paper examines the viability of a radically novel idea for brain-computer interface (BCI), which could lead to novel technological, experimental and clinical applications. BCIs are computer-based systems that ...
    • Classification of bursting patterns: A tale of two ducks 

      Desroches, M.Autoridad BCAM; Rinzel, J.; Rodrigues, S.Autoridad BCAM (2022-01-20)
      Bursting is one of the fundamental rhythms that excitable cells can generate either in response to incoming stimuli or intrinsically. It has been a topic of intense research in computational biology for several decades. ...
    • Computing Higher Leray–Serre Spectral Sequences of Towers of Fibrations 

      Guidolin, A.; Romero, A.Autoridad BCAM (2020-10-27)
      The higher Leray–Serre spectral sequence associated with a tower of fibrations represents a generalization of the classical Leray–Serre spectral sequence of a fibration. In this work, we present algorithms to compute higher ...
    • Computing Multipersistence by Means of Spectral Systems 

      Guidolin, A.; Divasón, J.; Romero, A.Autoridad BCAM; Vaccarino, F. (2019-07-08)
      In their original setting, both spectral sequences and persistent homology are algebraic topology tools defined from filtrations of objects (e.g. topological spaces or simplicial complexes) indexed over the set Z of integer ...
    • Conductance-Based Refractory Density Approach for a Population of Bursting Neurons 

      Chizhov, A.; Campillo, F.; Desroches, M.Autoridad BCAM; Guillamon A; Rodrigues, S.Autoridad BCAM (2019)
      The conductance-based refractory density (CBRD) approach is a parsimonious mathematical-computational framework for modeling interact- ing populations of regular spiking neurons, which, however, has not been yet extended ...
    • Fock-space approach to stochastic susceptible-infected-recovered models 

      Barros de Souza, D.; Araújo, H.; Duarte-Fillho, G.; Gaffney, E.; Nóbrega Santos, F.; Raposo, E. (2022-07-25)
      We investigate the stochastic susceptible-infected-recovered (SIR) model of infectious disease dynamics in the Fock-space approach. In contrast to conventional SIR models based on ordinary differential equations for the ...
    • Grigorchuk-Gupta-Sidki groups as a source for Beauvile surfaces 

      Sükran, G.; Uria-Albizuri, J. (2020-04-14)
      If $G$ is a Grigorchuk-Gupta-Sidki group defined over a $p$-adic tree, where p is an odd prime, we study the existence of Beauville surfaces associated to the quotients of $G$ by its level stabilizers $st_G(n)$. We prove ...
    • Hyperactivation of monocytes and macrophages in MCI patients contributes to the progression of Alzheimer's disease 

      Munawara, U.; Catanzaro, M.; Xu, W.; Tan, C.; Hirokawa, K.; Bosco, N.; Dumoulin, D.; Khalil, A.; Larbi, A.; Lévesque, S.; Ramassamy, C.; Barron, A.; Cunnane, S.; Beauregard, P.; Bellenger, J.P.; Rodrigues, S.Autoridad BCAM; Desroches, M.Autoridad BCAM; Witkowski, J.M.; Laurent, B.; Frost, E.; Fülöp, T. (2021-12-01)
      Background: Alzheimer’s disease (AD) is the most common neurodegenerative disease ultimately manifesting as clinical dementia. Despite considerable effort and ample experimental data, the role of neuroinflammation related ...
    • Immunosenescence and Altered Vaccine Efficiency in Older Subjects: A Myth Difficult to Change 

      Fülöp, T.; Larbi, A.; Pawelec, G.; Cohen, A.; Provost, G.; Khalil, A.; Lacombe, G.; Rodrigues, S.Autoridad BCAM; Desroches, M.Autoridad BCAM; Hirokawa, K.; Franceschi, C.; Witkowski, J.M. (2022-04-01)
      Organismal ageing is associated with many physiological changes, including differences in the immune system of most animals. These differences are often considered to be a key cause of age-associated diseases as well as ...
    • Inflection, Canards and Folded Singularities in Excitable Systems: Application to a 3D FitzHugh–Nagumo Model 

      Uria-Albizuri, J.; Desroches, M.Autoridad BCAM; Krupa, M.; Rodrigues, S.Autoridad BCAM (2020-09-07)
      Specific kinds of physical and biological systems exhibit complex Mixed-Mode Oscillations mediated by folded-singularity canards in the context of slow-fast models. The present manuscript revisits these systems, specifically ...
    • Metastable resting state brain dynamics 

      beim Graben, P.; Jimenez-Marin, A.; Diez, I.; Cortes, J.M.; Desroches, M.Autoridad BCAM; Rodrigues, S.Autoridad BCAM (2019-09-06)
      Metastability refers to the fact that the state of a dynamical system spends a large amount of time in a restricted region of its available phase space before a transition takes place, bringing the system into another state ...
    • Microbial production of advanced biofuels 

      Keasling, J.; Garcia Martin, H.; Lee, T; Mukhopadhyay, A.; Singer, S.; Sundstrom, E. (2021)
      Concerns over climate change have necessitated a rethinking of our transportation infrastructure. One possible alternative to carbon-polluting fossil fuels are biofuels produced from a renewable carbon source using engineered ...
    • Multi-GGS groups have the congruence subgroup property 

      Garrido, A.; Uria-Albizuri, J. (2018-11-08)
      We generalize the result about the congruence subgroup property for GGS-groups to the family of multi-GGS-groups; that is, all multi-GGS-groups except the one defined by the constant vector have the congruence subgroup ...
    • Neuron-glial Interactions 

      De Pittà, M.Autoridad BCAM (2020-06-07)
      Although lagging behind classical computational neuroscience, theoretical and computational approaches are beginning to emerge to characterize different aspects of neuron-glial interactions. This chapter aims to provide ...
    • An Optimizing Method for Performance and Resource Utilization in Quantum Machine Learning Circuits 

      Salehi, T.; Zomorodi, M.; Pławiak, P.; Abbaszade, M.; Salari, V. (2022-01)
      Quantum computing is a new and advanced topic that refers to calculations based on the principles of quantum mechanics. Itmakes certain kinds of problems be solved easier compared to classical computers. This advantage of ...
    • A phenomenological model for interfacial water near hydrophilic polymers 

      Earls, A.; Calderer, M.-C.; Desroches, M.Autoridad BCAM; Zarnescu, A.Autoridad BCAM; Rodrigues, S.Autoridad BCAM (2022-06-30)
      We propose a minimalist phenomenological model for the ‘interfacial water’ phenomenon that occurs near hydrophilic polymeric surfaces. We achieve this by combining a Ginzburg–Landau approach with Maxwell’s equations which ...
    • Pro-C congruence properties for groups of rooted tree automorphisms 

      Garrido, A.; Uria-Albizuri, J. (2018-11-21)
      We propose a generalisation of the congruence subgroup problem for groups acting on rooted trees. Instead of only comparing the profinite completion to that given by level stabilizers, we also compare pro-$\mathcal{C}$ ...
    • Quantum Face Recognition Protocol with Ghost Imaging 

      Salari, V.; Paneru, D.; Saglamyurek, E.; Ghadimi, M.; Abdar, M.; Aslani, M.; Barzanjeh, S.; Karimi, E. (2021-10)
      Face recognition is one of the most ubiquitous examples of pattern recognition in machine learning, with numerous applications in security, access control, and law enforcement, among many others. Pattern recognition with ...