Browsing Mathematical, Computational and Experimental Neuroscience by Title
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Anticipation via canards in excitable systems
(20190114)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
(20210101)In this paper, we develop compositional vectorbased semantics of positive transitive sentences using quantum natural language processing (QNLP) to compare the parametrized quantum circuits of two synonymous simple sentences ... 
Are BrainComputer Interfaces Feasible withIntegrated Photonic Chips?
(202111)The present paper examines the viability of a radically novel idea for braincomputer interface (BCI), which could lead to novel technological, experimental and clinical applications. BCIs are computerbased systems that ... 
Classification of bursting patterns: A tale of two ducks
(20220120)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
(20201027)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
(20190708)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 ... 
ConductanceBased Refractory Density Approach for a Population of Bursting Neurons
(2019)The conductancebased refractory density (CBRD) approach is a parsimonious mathematicalcomputational framework for modeling interact ing populations of regular spiking neurons, which, however, has not been yet extended ... 
The Euler characteristic as a topological marker for outbreaks in vectorborne disease
(20221201)Abstract. Epidemic outbreaks represent a significant concern for the current state of global health, particularly in Brazil, the epicentre of several vectorborne disease outbreaks and where epidemic control is still a ... 
Fockspace approach to stochastic susceptibleinfectedrecovered models
(20220725)We investigate the stochastic susceptibleinfectedrecovered (SIR) model of infectious disease dynamics in the Fockspace approach. In contrast to conventional SIR models based on ordinary differential equations for the ... 
Geometry of spiking patterns in early visual cortex: A topological data analytic approach
(20221116)In the brain, spiking patterns live in a highdimensional space of neurons and time. Thus, determining the intrinsic structure of this space presents a theoretical and experimental challenge. To address this challenge, we ... 
GrigorchukGuptaSidki groups as a source for Beauvile surfaces
(20200414)If $G$ is a GrigorchukGuptaSidki 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
(20211201)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
(20220401)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 ageassociated diseases as well as ... 
Inflection, Canards and Folded Singularities in Excitable Systems: Application to a 3D FitzHugh–Nagumo Model
(20200907)Specific kinds of physical and biological systems exhibit complex MixedMode Oscillations mediated by foldedsingularity canards in the context of slowfast models. The present manuscript revisits these systems, specifically ... 
Interaction Mechanism Between the HSV1 Glycoprotein B and the Antimicrobial Peptide Amyloidβ
(20220919)Background: Unravelling the mystery of Alzheimer's disease (AD) requires urgent resolution given the worldwide increase of the aging population. There is a growing concern that the current leading AD hypothesis, the amyloid ... 
Metastable resting state brain dynamics
(20190906)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
(2021)Concerns over climate change have necessitated a rethinking of our transportation infrastructure. One possible alternative to carbonpolluting fossil fuels are biofuels produced from a renewable carbon source using engineered ... 
Molecular Insight into the SelfAssembly Process of Cellulose Iβ Microfibril
(20220801)The selfassembly process of βDglucose oligomers on the surface of cellulose Iβ microfibril involves crystallization, and this process is analyzed herein, in terms of the length and flexibility of the oligomer chain, by ... 
MultiGGS groups have the congruence subgroup property
(20181108)We generalize the result about the congruence subgroup property for GGSgroups to the family of multiGGSgroups; that is, all multiGGSgroups except the one defined by the constant vector have the congruence subgroup ... 
Multiple forms of working memory emerge from synapseastrocyte interactions in a neuronglia network model
(20221025)Persistent activity in populations of neurons, timevarying activity across a neural population, or activitysilent mechanisms carried out by hidden internal states of the neural population have been proposed as different ...