team

 Camille Grasso, Ph.D., is a postdoctoral researcher involved in the EXPERIENCE Project. She is a qualified neuropsychologist and a cognitive scientist trying to understand how humans make sense of time. During her PhD, she worked on the representation and processing of abstract temporal concepts such as past and future. Currently, she is heading towards using a combination of behavioural, neurophysiological, and computational methods to examine how humans understand, feel, and estimate time. She is a passionate researcher, who loves talking about science and who is always in quest of learning and understanding new things! 

Matthew Logie, Ph.D. is a postdoctoral fellow in the EXPERIENCE Project. Having previously studied physics and audio engineering, he now creates virtual environments to study human cognition. His PhD work focused on the segmentation of events within virtual environments as a means of improving learning. He is currently investigating the influence of salient and unpredictable moments of change on temporal experience and the what, where, when of episodic memory.

Harish Gunasekaran, M.Sc. is a highly curious student, with a long term vision in understanding the deep philosophical problems such as how the brain encodes the ‘reality’ i.e., the concepts of space and time, the mind-body duality, the SELF, and consciousness. He is currently pursuing his PhD titled Exploring the functional role of neural oscillations in temporal processing, jointly funded by CEA and the European Union’s Horizon 2020 under Marie Skłodowska-Curie Actions (NUMERICS PhD 2019-22). His PhD work aims to deepen our understanding of the endogenous nature of slow neural oscillations (delta/theta bands) and their role in temporal processing. As a preliminary step, he is analyzing the existing MEG data recorded previously from the team by applying different methods and later will investigate how such endogenous oscillations mediate timing when a temporal structure is imposed by sensory inputs (rhythmic and non-rhythmic), by conducting behavioral and MEG experiments.

Valentine MANDIN, M.Sc. is a PhD student at the Université Paris Saclay Biosigne under the supervision of Sophie Herbst. She has been investigating for 2 years the implication of temporal predictions on temporal resolution by multiple paradigms, focusing on the auditory modality. Her work targets the implicit induction of temporal predictability. She is interested in the neural basis of temporal prediction and aimed at using MEG to fully explore the role of neural oscillations on these mechanisms.

Ignacio POLTI, M.Sc.   After a master at NeuroSpin (Cogmaster), Ignacio went on to pursue his PhD studying timing & uncertainty at the Kavli Institute for System Neurosciences (NTNU) with Christian Doeller.

Anna Wagelmans, M.Sc., is a PhD student currently doing her thesis – Exploring temporal orientation in the human brain – at Neurospin under the supervision of Virginie van Wassenhove. There, she studies the ability to mental time travel – that is to say, to mentally project oneself in time. Anna works at the intersection of cognitive neuroscience, psychology and philosophy of mind to investigate the structure of human experience and the constrution of the self. A problem that particularly occupies her mind is the continuity of the self in time. Her interest in problems of time branches out to phenomenological psychopathology, education and learning, and how narrative structures from all kinds of media interact with experience.

My name is Marianna Lamprou Kokolaki and I am a master student in M2 BIP – Neuroscience at Sorbonne University. I do a six month internship as part of Wildtimes under the supervision of Virginie van Wassenhove .

Raphaël Bordas is a research assistant in the team as part of the WildTimes project. He joined the team during his Bachelor’s in Mathematics and Biology at Paris-Saclay University, studying neural oscillations during high-speed displacements in trains. He is currently interested in exploring the neural implementation of time perception using behavioral and neurophysiology methods both in the lab and in the wild.