• Multiple forms of working memory emerge from synapse-astrocyte interactions in a neuron-glia network model 

  De Pittà, M.; Brunel, N. (2022-10-25)

  Persistent activity in populations of neurons, time-varying activity across a neural population, or activity-silent mechanisms carried out by hidden internal states of the neural population have been proposed as different ...

• 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 ...

• A phenomenological model for interfacial water near hydrophilic polymers 

  Earls, A.; Calderer, M.-C.; Desroches, M.; Zarnescu, A.; Rodrigues, S. (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 ...

• 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.; Desroches, M.; 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 ...

• 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.; Desroches, M.; 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 ...

• Stochastic facilitation in heteroclinic communication channels 

  Sirio Carmantini, G.; Schittler Neves, F.; Timme, M.; Rodrigues, S. (2021-09-01)

  Biological neural systems encode and transmit information as patterns of activity tracing complex trajectories in high-dimensional state spaces, inspiring alternative paradigms of information processing. Heteroclinic ...

• Classification of bursting patterns: A tale of two ducks 

  Desroches, M.; Rinzel, J.; Rodrigues, S. (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. ...

• 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 ...

• Are Brain-Computer Interfaces Feasible withIntegrated Photonic Chips? 

  Salari, V.; Rodrigues, S.; 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 ...

• 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 ...

• 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 ...

• Using discrete Ricci curvatures to infer COVID-19 epidemic network fragility and systemic risk 

  Barros de Souza, D.; Da Cunha, J.; Figueroa dos Santos, E.; Correia, J.; P. da Silva, H.; De Lima Filho, J.L.; Alburquerque, J.; Santos, F. (2021)

  The damage of the novel Coronavirus disease (COVID-19) is reaching unprecedented scales. There are numerous classical epidemiology models trying to quantify epidemiology metrics. Usually, to forecast epidemics, classical ...

• 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 ...

• Computing Higher Leray–Serre Spectral Sequences of Towers of Fibrations 

  Guidolin, A.; Romero, A. (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 ...

• Targeting Impaired Antimicrobial Immunity in the Brain for the Treatment of Alzheimer’s Disease 

  Fülöp, T.; Tripathi, S.; Rodrigues, S.; Desroches, M.; Bunt, T.; Eiser, A.; Bernier, F.; Beauregard, P.; Barron, A.; Khalil, A.; Plotka, A.; Hirokawa, K.; Larbi, A.; Bocti, C.; Laurent, B.; Frost, E.; Witkowski, J. (2021-05-04)

  Alzheimer’s disease (AD) is the most common form of dementia and aging is the most common risk factor for developing the disease. The etiology of AD is not known but AD may be considered as a clinical syndrome with multiple ...

• Spike-adding and reset-induced canard cycles in adaptive integrate and fire models 

  Desroches, M.; Kowalczyk, P.; Rodrigues, S. (2021-05-03)

  We study a class of planar integrate and fire (IF) models called adaptive integrate and fire (AIF) models, which possesses an adaptation vari- able on top of membrane potential, and whose subthreshold dynamics is piece- ...

• Inflection, Canards and Folded Singularities in Excitable Systems: Application to a 3D FitzHugh–Nagumo Model 

  Uria-Albizuri, J.; Desroches, M.; Krupa, M.; Rodrigues, S. (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 ...

• Why we should use topological data analysis in ageing: Towards defining the “topological shape of ageing” 

  Fülöp, T.; Desroches, M.; Cohen, A.; Santos, F.A.N.; Rodrigues, S. (2020-10-27)

  Living systems are subject to the arrow of time; from birth, they undergo complex transformations (self-organization) in a constant battle for survival, but inevitably ageing and disease trap them to death. Can ageing be ...

• Targeting Infectious Agents as a Therapeutic Strategy in Alzheimer’s Disease 

  Fülöp, T.; Munawara, U.; Larbi, A.; Desroches, M.; Rodrigues, S.; Catanzaro, M.; Guidolin, A.; Khalil, A.; Bernier, F.; Barron, A.E.; Hirokawa, K.; Beauregard, P.B.; Dumoulin, D.; Bellenger, J.-P.; Witkowski, J.M.; Frost, E. (2020-05-26)

  Alzheimer’s disease (AD) is the most prevalent dementia in the world. Its cause(s) are presently largely unknown. The most common explanation for AD, now, is the amyloid cascade hypothesis, which states that the cause of ...

• Neuron-glial Interactions 

  De Pittà, M. (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 ...

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