Lectures related to Cellular Signalling: Introduction & Mechanisms

Introduces biology and cells, covering proteins, lipids, DNA, organs, tissues, and more.

Cellular Communication: Signaling Pathways and Receptors

Delves into the importance of intercellular communication and the diverse signaling pathways involved in cellular responses.

Neural Signals and Signal Processing

Explores neural signals, EMG control, muscle synergies, and HD-EMG for prosthetic devices.

Introduction to Signals and Filters

Covers the conversion of analog signals to digital, data compression, and signal reconstruction, highlighting the significance of signal processing in communication systems.

Neural Signals and Signal Processing: Modeling and Simulation

Covers the fundamentals of neural signals and signal processing, focusing on modeling and simulation of neural systems.

Stochastic Models for Communications: Introduction

Introduces mathematical tools for communication systems and data science, focusing on stochastic processes and preparing students for advanced courses.

G Protein-Coupled Receptors: Signalling Diversity

Explores G protein-coupled receptors' signalling diversity, covering structure, activation, bias effects, and internalisation.

Neural Signals and Signal Processing

Delves into neural signals, GLM, ANOVA, brain mapping, connectivity, and multivariate methods.

Neural Signals and Signal Processing

Covers neural signals, brain enthusiasm, neuroimaging, and statistical analysis in neuroimaging studies.

IQ Demodulation: FPGA and MATLAB

Explores IQ demodulation using FPGA and MATLAB for noisy quantum signals.

Neural Signals and Signal Processing

Explores neural signal modeling, nervous system structure, and fiber classification for understanding neural phenomena.

Synthetic biology: molecular components and cellular engineering

Delves into synthetic biology, assembling molecular components for biological functions in living cells, including gene expression control and engineered receptor signaling.

Optimization of Neuroprosthetic Systems

Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.

Neural Signals and Signal Processing: Hemodynamic Imaging

Explores hemodynamic imaging techniques to measure brain activity and understand brain structure and function.

Neural Signals and Signal Processing

Explores nuclear magnetic resonance, MRI principles, pulse sequences, image reconstruction, safety considerations, and volume normalization in brain imaging.

Edge IoT Sensors: Multiple-Input Analysis

Explores the benefits of using multiple processors in IoT sensors.

Sampling Theorem

Explores the sampling theorem, illustrating signal reconstruction and the importance of meeting the Nyquist criterion.

Passband Communications Design

Covers the design of passband communications and the use of recipies and complex-valued signals.

Ligand-Receptor Interactions: Mechanisms and Quantification

Covers ligand-receptor interactions, their mechanisms, and how to quantify binding affinities in biological systems.

Neural Signals and Signal Processing

Explores neural signal processing for brain-computer interfaces, including decoding techniques like Kalman filters and spike sorting.