Two decades into the 21st century, how close are we to to a unified mathematical model of the brain? How close are we to building an artificial intelligence that can surpass it?

In this exploratory symposium, we invite submissions presenting mathematical models of brain function or computational ideas about intelligence. We give priority to those models that can account for brain or behavioural data, or provide simulations to that effect.

One of the major scientific projects of the 20th century was the study of computation. We could build devices that could carry out some of the operations previously only possible in the human mind. This analogy and perspective has proven extremely productive, with neural and cognitive theories inspiring the development of powerful algorithms and vice versa in the computational study of the brain and mind.

In this convention we aim to identify and develop novel computational frameworks for the study of the brain and mind and take those findings back into the creation of novel algorithms for solving difficult problems and simulating intelligence.

Our content comes from four main fields: biocomputation, neural theory, cognitive science and machine learning/artificial intelligence (AI). Each of these fields has developed a distinct computational language and set of concepts pertaining to a set of overlapping underlying principles.

By bringing leading researchers together from these fields together in online and offline settings, we aim to build bridges between them, such that novel findings, insights and frameworks can take spark.