Biology subjects

Saghir, S.

Publications and source records attributed to Saghir, S..

2 recordsLinked to original sources

bioRxiv2026

Cyclic voltammetry electropolymerization of PEDOT: Polydopamine on gold electrodes

This work presents a facile and rapid fabrication method for high-performance bioelectrode coatings through electropolymerization of poly(3,4-ethylenedioxythiophene) (PEDOT) and polydopamine (PDA). Expanding on previous work, we develop a cyclic voltammetry electropolymerization process to deposit PEDOT:PDA coatings on 2 mm gold electrode substrates. The coatings exhibit a 40-fold increase in cathodic charge storage capacity (~ 40mC{middle dot}cm-2) and significant impedance modulus reduction compared to uncoated gold electrodes. Morphological characterization revealed a uniformly porous surface that corroborates the enhancement in electrochemical performance. Our scalable approach offers a promising option to fabricate bioelectrodes for application to neural interfaces and implantable and wearable bioelectronics. Clinical RelevanceThe improved electrochemical performance and scalable fabrication of PEDOT:PDA coatings support their potential to enhance the stability and signal quality of neural and implantable bioelectronic devices.

bioengineering↗

bioRxiv2023

A mean-field to capture asynchronous irregular dynamics of conductance-based networks of adaptive quadratic integrate-and-fire neuron models

Mean-field models are a class of models used in computational neuroscience to study the behaviour of large populations of neurons. These models are based on the idea of representing the activity of a large number of neurons as the average behaviour of "mean field" variables. This abstraction allows the study of large-scale neural dynamics in a computationally efficient and mathematically tractable manner. One of these methods, based on a semi-analytical approach, has previously been applied to different types of single-neuron models, but never to models based on a quadratic form. In this work, we adapted this method to quadratic integrate-and-fire neuron models with adaptation and conductance-based synaptic interactions. We validated the mean-field model by comparing it to the spiking network model. This mean-field model should be useful to model large-scale activity based on quadratic neurons interacting with conductance-based synapses.

bioinformatics↗