Neural plasticity and adaptation
Investigating how the brain adapts to BCI systems over time, and how we can leverage neuroplasticity to improve interface performance and therapeutic outcomes.
Research Methodology
Our systematic approach to BCI development
We follow rigorous scientific protocols to ensure our research contributes meaningful advances to the field of neurotechnology.
- 01
Fundamental neural signal analysis
We begin by studying basic neural mechanisms and signal characteristics, using advanced recording techniques to understand how different brain regions communicate and process information relevant to BCI applications.
- 02
Algorithm development and validation
Our team develops novel signal processing algorithms and machine learning models, testing them against established benchmarks and validating performance across diverse neural patterns and conditions.
- 03
Preclinical testing and optimisation
Extensive laboratory testing evaluates system performance, safety, and reliability under controlled conditions, allowing us to refine our technology before clinical implementation.
- 04
Clinical collaboration and translation
We partner with medical institutions to conduct clinical studies, gathering real-world data to validate therapeutic efficacy and guide the development of clinically viable BCI solutions.
Research Focus Areas
Key areas of investigation
Our research programme addresses critical challenges in brain-computer interface technology, from basic neuroscience to clinical applications.
Signal stability and longevity
Developing methods to maintain consistent neural signal quality over extended periods, addressing challenges of electrode degradation and tissue response.
Therapeutic applications research
Exploring how BCI technology can assist patients with neurological conditions, focusing on motor rehabilitation, communication aids, and cognitive enhancement protocols.