In light of the new tools for researchers to conduct and communicate their research, we organized a workshop to discuss essential elements for a researcher in 2019. Morning session speakers (Dr. Franck Ramus, Élodie Chabrol, and Judith Lenglet) will advise researchers on how to communicate their research to their peers and the general public (e.g. blogs, twitter, graphical presentation), while afternoon speakers (Dr. Guillaume Dumas, Georgia Loukatou, Sacha Altay, and Dr. Camila Scaff) will showcase crucial tools (e.g.

Perception is often described as a sensory process, which starts at the receptors and ends somewhere in the brain. However, the anatomy of the brain and the dynamics of sensation indicate otherwise. I will present the empirical data establishing the motor-sensory basis of mammalian perception, and the emerging conclusion that perception reflects convergence of motor-sensory-motor closed loops. Closed-loop perception is thus a process that actively and gradually connects the brain to its environment.

Prior experiences bias the way we perceive the world by creating expectations, a reference frame for future decisions. Where in the brain these expectations are generated and where they are projected onto the space of possible decisions, it still unknown. In this talk I will present data from rats trained in a two-alternative forced choice auditory task, where the probability to repeat the previous stimulus category was varied between repeating and alternating trial blocks.

Neural responses and behavior are influenced by internal brain states, such as arousal or task context. Ongoing variations of these internal states affect global patterns of neural activity, giving rise to apparent variability of neural responses under the same experimental conditions. Uncovering dynamics of internal states from data proved difficult with traditional techniques based on trial-averaged responses of single neurons.

To meet Ingrid Johnsrude, please contact Daniel Pressnitzer: daniel.pressnitzer@gmail.com.

To meet Coren Apicella, please contact Nicolas Baumard: nbaumard@gmail.com.

To meet Catherine Hobaiter, please contact Philippe Schlenker: philippe.schlenker@gmail.com

To meet Stephen Fleming, please contact Catherine Tallon-Baudry: catherine.tallon-baudry@ens.fr

The brain and cognitive sciences are hard at work on a great scientific quest — to reverse engineer the human mind and its intelligent behavior. Yet these field are still in their infancy. Not surprisingly, forward engineering approaches that aim to emulate human intelligence (HI) in artificial systems (AI) are also still in their infancy.

Western history of thought abounds with claims that knowledge is valued and sought. Yet people often choose not to know. We call the conscious choice not to seek or use knowledge (or information) deliberate ignorance. Using examples from a wide range of domains, we demonstrate that deliberate ignorance has important functions. We systematize types of deliberate ignorance, describe their functions, discuss their normative desirability, and consider how they can be modeled. We conclude that the desire not to know is no anomaly.