Browsing Mathematical, Computational and Experimental Neuroscience by Title
Now showing items 1-20 of 34
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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 ... -
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 ... -
Are Brain-Computer Interfaces Feasible withIntegrated Photonic Chips?
(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
(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
(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
(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
(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 ... -
The Euler characteristic as a topological marker for outbreaks in vector-borne disease
(2022-12-01)Abstract. Epidemic outbreaks represent a significant concern for the current state of global health, particularly in Brazil, the epicentre of several vector-borne disease outbreaks and where epidemic control is still a ... -
Fock-space approach to stochastic susceptible-infected-recovered models
(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 ... -
Geometry of spiking patterns in early visual cortex: A topological data analytic approach
(2022-11-16)In the brain, spiking patterns live in a high-dimensional space of neurons and time. Thus, determining the intrinsic structure of this space presents a theoretical and experimental challenge. To address this challenge, we ... -
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 ... -
Hyperactivation of monocytes and macrophages in MCI patients contributes to the progression of Alzheimer's disease
(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
(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
(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 ... -
Interaction Mechanism Between the HSV-1 Glycoprotein B and the Antimicrobial Peptide Amyloid-β
(2022-09-19)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
(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
(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 ... -
Molecular Insight into the Self-Assembly Process of Cellulose Iβ Microfibril
(2022-08-01)The self-assembly process of β-D-glucose 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 ... -
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 ... -
Multiple forms of working memory emerge from synapse-astrocyte interactions in a neuron-glia network model
(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 ...