Search Results for author:
Found 12 papers, 0 papers with code
Piezoelectricity and flexoelectricity in biological cells: The role of cell structure and organelles
Despite much research done in this area, challenges remain in our better understanding of the behaviour of the cell in response to external stimuli, including the arrangement, quantity, and shape of organelles within the cell.
Nonlocal Models in Biology and Life Sciences: Sources, Developments, and Applications
Nonlocality is important in realistic mathematical models of physical and biological systems at small-length scales.
The Role of Soil Surface in a Sustainable Semiarid Ecosystem
Patterns in a semiarid ecosystem are important because they directly and indirectly affect ecological processes, biodiversity, and ecosystem resilience.
The analysis of the impact of fear in the presence of additional food and prey refuge with nonlocal predator-prey models
In a predator-prey interaction, there are many factors present which affect the growth of the species, either positively or negatively.
Bayesian inference and role of astrocytes in amyloid-beta dynamics with modelling of Alzheimer's disease using clinical data
Therefore, in the present study, we developed and evaluated novel stochastic models for Abeta growth using ADNI data to predict the effect of astrocytes on AD progression in a clinical trial.
Data-driven Stochastic Model for Quantifying the Interplay Between Amyloid-beta and Calcium Levels in Alzheimer's Disease
To better understand this interaction, we report a novel stochastic model where we analyze the positive feedback loop between A\beta and Ca^{+2} using ADNI data.
Non-Markovian behaviour and the dual role of astrocytes in Alzheimer's disease development and propagation
We consider a fractional order network mathematical model to capture the influence of such memory effect on AD propagation.
Effects of random inputs and short-term synaptic plasticity in a LIF conductance model for working memory applications
Working memory (WM) has been intensively used to enable the temporary storing of information for processing purposes, playing an important role in the execution of various cognitive tasks.
Effects of noise on leaky integrate-and-fire neuron models for neuromorphic computing applications
Motivated by important applications of the integrate-and-fire of neurons in neuromorphic computing for bio-medical studies, the main focus of the present work is on the analysis of the effects of additive and multiplicative types of random input currents together with a random refractory period on a leaky integrate-and-fire (LIF) synaptic conductance neuron model.
Coupled effects of channels and synaptic dynamics in stochastic modelling of healthy and Parkinson's-disease-affected brains
Our brain is a complex information processing network in which the nervous system receives information from the environment to quickly react to incoming events or learns from experience to sharp our memory.
Nonlocal Models in the Analysis of Brain Neurodegenerative Protein Dynamics with Application to Alzheimer's Disease
Higher toxic concentrations of amyloid-beta and tau proteins destroy the brain cell.
Deep brain stimulation with a computational model for the cortex-thalamus-basal-ganglia system and network dynamics of neurological disorders
Based on the prior striatal inhibitory model, we propose an extended BGTH model incorporating medium spine neurons (MSNs) and fast-spiking interneurons (FSIs) along with the effect of DBS.
