Awareness plays a major role in human cognition and adaptive behaviour, though mechanisms involved remain unknown. Awareness is not an objectively established fact, therefore, despite extensive research, scientists have not been able to fully interpret its contribution in multisensory integration and precise neural firing, hence, questions remain
CMI lab with its world-class multidisciplinary team of cognitive scientists, neuroscientists, mathematicians, and engineers is developing a new class of contextually-adaptive neuron (CAN), which adapts to changing situations, and could be used to develop improved models of information processing in the brain. We are interested to understand how consciousness plays a role in multisensory integration (such as visual and audio) and help humans to optimally interact with the world around them.
Our recently launched collaborative doctoral partnership (CDP) and research programme in collaboration with the Massachusetts Institute of Technology (MIT), University of Oxford, and Nottingham Trent University (NTU) uniquely combine fundamental engineering, computer science, and computational neuroscience research. This CDP aims to conduct novel and truly innovative research, addressing open AI challenges, which are well beyond the capabilities of today’s state-of-the-art, and are bottleneck to enable future cutting-edge brain-inspired AI technologies. Our focused areas are:
IEEE WCCI 2020 is the flagship conference of the IEEE Computational Intelligence Society, and the world's largest technical event in the field of computational intelligence. The IEEE WCCI 2020 will host three conferences: The 2020 International Joint Conference on Neural Networks (IJCNN 2020), the 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020), and the 2020 IEEE Congress on Evolutionary Computation (IEEE CEC 2020) under one roof.
Collaborative Doctoral Partnership with MIT and University of Oxford to develop a more natural human-like computing system with enhanced situational awareness.
The gap between humans and machine is shrinking and scientists are trying to develop more human-like computing devices. It is becoming increasingly important to develop computer systems that incorporate situation awareness. However, the methods used to reduce margins of uncertainty and minimize miscommunication need further exploration. In this research, we aim to further develop our understanding of cognition and its emergence over development and evolution to realize human-like computing. Our ongoing work involves the development of evolved neural models, inspired by human cognition to serve broader goals, and further informed by biological and psychological models of competence. These novel neural networks will be used to build accurate driver behavioral models (e.g. driverless cars) for precise maneuvering decisions in different situations (e.g. blind spot, car reversing etc.).
Collaboration with the Computational Neurosciences and Cognitive Robotics Laboratory aims to jointly work on understanding contextual multisensory integration in the brain and develop low-power brain-computer interface (BCI) for accurate decision making.
Collaboration with the Nuffield Department of Surgical Sciences aims to jointly work on understanding neurodegenerative processes in Alzheimer’s and Parkinson’s diseases using novel computational models and biomedical methods
Sensory impairments have an enormous impact on our lives and are closely linked to cognitive functioning. Neurodegenerative processes in Alzheimer’s disease (AD) and Parkinson’s disease (PD) affect the structure and functioning of neurons, resulting in altered neuronal activity. For example, patients with AD suffer from sensory impairment and lack the ability to channelize awareness. However, the cellular and neuronal circuit mechanisms underlying this disruption are elusive. Therefore, it is important to understand how multisensory integration changes in AD/PD, and why patients fail to guide their actions.