LQ placeholderNeuroscience and  artificial intelligence

Neuroscience and artificial intelligence

Scientists discuss how biological and artificial neural networks shed light on each other in our Late Night at London Institute series.

Background Artificial neural networks were inspired by simple models of computation in the brain. Only recently have the they fulfilled some of the promise that they were first afforded. On the flip side, how biological neural networks perform complex tasks remains a mystery. Do artificial networks really offer insight into brain function, or are they a distinct framework for computation in their own right?

Talk In this event, Thomas Parr from University College London talks about active inference and computational neuropsychology. Grace Lindsay, also from UCL, talks about using convolutional neural networks to study biological visual attention. Alexander Mozeika from King’s College London talks about the statistical physics of feedforward Boolean networks. After the talks there is a general discussion on the extent to which artificial neural networks can shed light on the workings of their biological counterparts.

Late Night at London Institute is a periodic event in which young scientists present and discuss aspects of a research theme in the evening. The event starts at 6 o’clock with drinks, followed by 15-minute talks and further drinks and discussion.