Browsing Mathematical, Computational and Experimental Neuroscience by Issue Date
Now showing items 1-20 of 32
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Multi-GGS groups have the congruence subgroup property
(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 ... -
Pro-C congruence properties for groups of rooted tree automorphisms
(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-$\mathcal{C}$ ... -
Conductance-Based Refractory Density Approach for a Population of Bursting Neurons
(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 ... -
Anticipation via canards in excitable systems
(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 ... -
A roadmap to integrate astrocytes into Systems Neuroscience
(2019-05-06)Systems Neuroscience is still mainly a neuronal field, despite the plethora of evidence supporting the fact that astrocytes modulate local neural circuits, networks, and complex behaviors. In this article, we sought to ... -
Computing Multipersistence by Means of Spectral Systems
(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 ... -
Metastable resting state brain dynamics
(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 ... -
A theoretical approach for the electrochemical characterization of ciliary epithelium
(2020-01-23)The ciliary epithelium (CE) is the primary site of aqueous humor (AH) production, which results from the combined action of ultrafiltration and ionic secretion. Modulation of ionic secretion is a fundamental target for ... -
Grigorchuk-Gupta-Sidki groups as a source for Beauvile surfaces
(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 ... -
Targeting Infectious Agents as a Therapeutic Strategy in Alzheimer’s Disease
(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
(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 ... -
Inflection, Canards and Folded Singularities in Excitable Systems: Application to a 3D FitzHugh–Nagumo Model
(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”
(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 ... -
Computing Higher Leray–Serre Spectral Sequences of Towers of Fibrations
(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 ... -
Using discrete Ricci curvatures to infer COVID-19 epidemic network fragility and systemic risk
(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
(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 ... -
Application of Quantum Natural Language Processing for Language Translation
(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 ... -
Spike-adding and reset-induced canard cycles in adaptive integrate and fire models
(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- ... -
Targeting Impaired Antimicrobial Immunity in the Brain for the Treatment of Alzheimer’s Disease
(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 ... -
Stochastic facilitation in heteroclinic communication channels
(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 ...