Wellcome Trust Centre for Neuroimaging


Institute of Neurology
University College London
12 Queen Square
LONDON WC1N 3BG
United Kingdom


Tel: +44
(0)20 3448 4362     
Fax: +44 (0)20 7813 1420     



Latest News



16 JULY 2014

Mobile games can be reliable tools for conducting psychology experiments, UK researchers find

Initial findings from one of the largest cognitive science experiments ever conducted have shown that mobile games can be used to reliably address psychology questions, paving the way to a better understanding of how cognitive function differs across populations.



08 JULY 2014

Similar memories benefit from 'extra space' in the brain



13 JUNE 2014

Professors Chris & Uta Frith awarded Jean Nicod Prize & Lecture Series



12 MAY 2014

Professor Cathy Price elected a Fellow of the Academy of Medical Sciences



13 APRIL 2014:

Professor Ray Dolan elected member of EMBO 2014



MARCH 2014:

Molly Crockett will speak at HowTheLightGetsIn2014 Festival at Hay

UCL neuroscientist Molly Crockett's work focuses on the neural basis of morality and decision-making. Her work has been featured by The New York Times, The Financial Times, New Scientist and the BBC.



FEBRUARY 2014:

Professor Eleanor Maguire gives the Friday Evening Discourse at the Royal Institution

Our memories are our lives, and a fundamental basis of our culture. Collective memoirs of the past both bind society together and shape our potential future. - See more at: http://www.richannel.org/the-neuroscience-of-memory.



13 FEBRUARY 2014:

Announcing Computational Psychiatry Course 2014

Computational psychiatry is a new interdisciplinary field which seeks to characterize mental disorders in terms of aberrant computations at multiple scales. In recent years the field of human neuroscience, particularly functional neuroimaging, has begun to address the underlying neurobiology of changes in brain function related to psychiatric disease. This effort has produced some exciting early discoveries, but it has also highlighted the need for computational models that can bridge the explanatory gap between pathophysiology and psychopathology. The expertise and quantitative tools required to address this gap exist only across disciplines, combining skills and knowledge from investigators and clinicians that are jointly interested in solving problems of mental health.

This Computational Psychiatry course aims to bring together experts in neuroscience, psychiatry, decision sciences and computational modelling to define problems quantitatively in psychiatric disorder, and to train the next generation of scientists and clinicians that wish to apply these models to modern diagnosis and treatment strategies. Understanding mental function in computational terms will provide a deeper, more quantitative, insight into the mechanistic underpinnings of healthy and diseased cognition.

Click here for more details.



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