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Join leading scientists for a fun evening as we dive into one of the greatest developments of the last 20 years: artificial intelligence in neuroscience research. We’ll explore how these two topics interconnect, looking at how machines and humans form memories and the application of AI to clinical neuroscience research, including its ability to predict disease outcomes. You’ll have many opportunities to get involved as we test whether AI really can replace everything!
Do you remember where you put your keys? A tour on learning and memory in the brain and in machines
Why do I always forget where I put my keys but remember the place of my first kiss? Why do some memories last and some others don’t? Let’s take a tour of learning and memory in the brain and see how we can utilise what we have learned to build artificial intelligent systems.
Predicting neurological disease outcome using AI
Anthea Monod (Professor of Bioinformatics)
In this talk we will discuss how applying mathematics to brain tumour scans can be more informative than all other existing imaging quantifications in radiology when predicting clinical outcomes. We will also highlight the power of combining pure mathematics and AI in clinical neuroscience research.
A Cellular Malfunction: how cells lose control of their genes in Alzheimer’s disease
The likelihood of someone developing dementia is influenced by a combination of their genetics and the environment they are exposed to. However, it is not clear how these factors interact with each other to affect cells in the brain. One possible mechanism is through epigenetics – chemical modifications to the genetic material in cells that regulate gene expression. In this talk, I will discuss what epigenetics can teach us about Alzheimer’s disease as well as how AI can help us understand our genome.