Centre Culturel Irlandais, 5 rue des Irlandais, 75005 Paris
Dates: 4/5 December 2019, Venue: Centre Culturel Irlandais (next to ENS)
Expected participants (pending confirmation): Simon Thorpe, Vincent de Gardelle, Roberta Bianco, Maria Chait, Merav Ahissar, Josh McDermott, Edwin Robertson, Mounya Elhilali, Alice Milne, Israel Nelken, Thomas Andrillon, Naftali Tishby, Laurent Demany, Laurence Maloney, Michael Kubovy
Our senses ceaselessly harvest new patterns, leading to a glut of past information. High-resolution input may be reduced to summary statistics, but there is evidence that we also remember detailed information from far in the past. How does this work, and for what purpose? This is on a backdrop of older and deeper questions about memory and forgetting, for which statistics serve as a metaphor: the values stand in as ‘memory’, and the process of substituting them for full-resolution data as ‘forgetting’. Statistics support a probabilistic description of the forgotten values, from which we can infer the past, predict the present, and make choices about the future. Similar questions are encountered by technological applications in the age of ‘deep learning’ and ‘big data’.
The aim of this workshop is to bring together three populations: (a) vision and auditory scientists interested in questions of representation, statistics and memory over multiple time scales, (b) researchers in memory interested in sensory aspects, (c) researchers in relevant fields of statistics and machine learning at the interface with technology.