Sophie Achard
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Sophie Achard
Sophie Achard (born 1977) is a French statistician and neuroscientist whose research concerns the statistics of the Connectome, pattern of connectivity in the brain. She is a director of research for the French National Centre for Scientific Research (CNRS), affiliated with the French Institute for Research in Computer Science and Automation (Inria) laboratory at Grenoble Alpes University. Education and career Achard studied mathematics, statistics, and numerical analysis at Jean Monnet University, earning a bachelor's degree in 1999. She earned a master's degree through research on the statistics of mixture models at Joseph Fourier University in Grenoble 2000, and completed a Ph.D. there in 2003. Her doctoral dissertation, ''Mesures de dépendance pour la séparation aveugle de sources : application aux mélanges post non linéaires'', was directed by Dinh-Tuan Pham and Christian Jutten. After postdoctoral research in the Brain Mapping Unit at the University of Cambridge with Ed ...
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Connectome
A connectome () is a comprehensive map of neural connections in the brain, and may be thought of as its "wiring diagram". An organism's nervous system is made up of neurons which communicate through synapses. A connectome is constructed by tracing the neuron in a nervous system and mapping where neurons are connected through synapses. The significance of the connectome stems from the realization that the structure and function of the human brain are intricately linked, through multiple levels and modes of brain connectivity. There are strong natural constraints on which neurons or neural populations can interact, or how strong or direct their interactions are. Indeed, the foundation of human cognition lies in the pattern of dynamic interactions shaped by the connectome. Despite such complex and variable structure-function mappings, the connectome is an indispensable basis for the mechanistic interpretation of dynamic brain data, from single-cell recordings to functional neur ...
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