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+34 946 567 842
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+34 946 567 842
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srodrigues@bcamath.org
Information of interest
- Orcid: 0000-0002-3601-5760
Ikerbasque Research Professor at BCAM.
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Monitoring Alzheimer's disease via ultraweak photon emission
(2024-01-19)In an innovative experiment, we detected ultraweak photon emission (UPE) from the hippocampus of male rat brains and found significant correlations between Alzheimer's disease (AD), memory decline, oxidative stress, and ...
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Slow–fast dynamics in a neurotransmitter release model: Delayed response to a time-dependent input signal
(2023-12-01)We propose a generalization of the neurotransmitter release model proposed in Rodrigues et al. (2016). We increase the complexity of the underlying slow–fast system by considering a degree-four polynomial as parametrization ...
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Effects of optogenetic and visual stimulation on gamma activity in the visual cortex
(2023-11-01)Studying brain functions and activity during gamma oscillations can be a challenge because it requires careful planning to create the necessary conditions for a controlled experiment. Such an experiment consists of placing ...
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Invariants for neural automata
(2023-01-01)Computational modeling of neurodynamical systems often deploys neural networks and symbolic dynamics. One particular way for combining these approaches within a framework called vector symbolic architectures leads to neural ...
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SilionBurmuin: A Horizon Europe propelled Neurocomputing Initiative in the Basque Country
(2023-01-01)SiliconBurmuin is aimed at creating a multi-disciplinary neurocomputing community in the Basque Country, bringing together technology and scientific research centres and industry companies. This community will: (1) identify ...
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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 ...
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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 ...
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A phenomenological model for interfacial water near hydrophilic polymers
(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 ...
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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 ...
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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. ...
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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 ...
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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 ...
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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 ...
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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 ...
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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- ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...