Fondation IPSEN special lecture at the NeuroFrance Meeting

Fondation IPSEN special lecture at the NeuroFrance Meeting

15 May 2017

Fondation IPSEN special lecture at the NeuroFrance Meeting

During the upcoming NeuroFrance meeting, that will be held in Bordeaux the next 17th to 19th May, the Fondation IPSEN will organize a spécial lecture on "Brain and Machine Learning and Memory". Hughes Bersini (IRIDIA Laboratory, Université Libre de Bruxelles, Belgique) and Paul Frankland (Hospital for Sick Children, Toronto, Canada) are both invited for this occasion (May 17, 5.30pm, Amphithéâtre A).


Hughes Bersini, 5.30 pm, Conscious and unconscious Artificial Intelligence

I will first briefly discuss how since the birth of AI two traditions have always been very productive, labelled for simplicity “conscious and unconscious”, then how and why the second one, based on Big Data and Machine Learning, is dangerously taking the lead today. Thus I will discuss what more recent researches in neural networks such as deep learning (deep in space and time), self-adapting nets and chaotic Hopfield networks might bring to neurosciences.

Paul Frankland, 6.15 pm, The Persistance and Transience of Memory

The predominant focus in the neurobiological study of memory has been on remembering (persistence). However, recent studies have considered the neurobiology of forgetting (transience). In my talk I will draw parallels between neurobiological and computational mechanisms underlying transience. I will propose that it is the interaction between persistence and transience that allows for intelligent decision-making in dynamic, noisy environments. Specifically, I will argue that transience (1) enhances flexibility, by reducing the influence of outdated information on memory-guided decision making, and (2) prevents overfitting to specific past events, thereby promoting generalization. According to this view, the goal of memory is not the transmission of information through time, per se. Rather, the goal of memory is to optimize decision-making. As such, transience is as important as persistence in mnemonic systems.

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