Brain activity is distributed over the 3-dimensional volume and evolves in time. Mapping spatio-temporal distribution of brain activation with high spatial resolution and high temporal resolution is of great importance for understanding the brain and aiding in the clinical diagnosis and management of brain disorders.
Drug-resistant focal epilepsy is a major clinical problem and surgery is under-used. Better non-invasive techniquesfor epileptogenic zone (EZ) localisation are needed when MRI shows no lesion or an extensive lesion. The problem is interictal (IED) and ictal localisation before propagation from the EZ.
The hierarchical organization of the brain’s ventral visual pathway has inspired the feedforward connectionist architectures used in state-of-the-art deep learning methods that have begun to transform applications as diverse as image recognition, disease diagnosis and self-driving cars. However, it is well-known that there are way more feedback projections than feedforward ones in the brain.
Through evolution, nature has produced some of the greatest and most intelligent structures ever created in the earth, ranging in scale and complexity from DNA to the human brain. It remains a daunting challenge for humans to fully understand how diverse functional matters are self-assembled for biological systems, how complex system behaviour is emerged from fundamental properties of matters, and how to produce biocompatible, sustainable functional matter that not only are environmentally friendly, but also can survive dynamic impacts under extreme conditions.
There is an on-going controversy about the precision of the frequency map in mouse auditory cortex. While global frequency maps are universally accepted, local frequency organization has been reported by some to be heterogeneous and by others to match precisely the global tonotopic location. Here Prof. Eli Nelken will describe the history of this controversy and show recent results that demonstrate the interplay between global order and local variability in the tonotopic map of mouse primary auditory cortex.
Networks have become of central interest in the study of complex biological systems, including the brain. Modern network science approaches are beginning to reveal fundamental principles of brain architecture and function.