Brain Informatics and Health: 8th International Conference, by Yike Guo, Karl Friston, Faisal Aldo, Sean Hill, Hanchuan

By Yike Guo, Karl Friston, Faisal Aldo, Sean Hill, Hanchuan Peng

This e-book constitutes the court cases of the foreign convention on mind Informatics and overall healthiness, BIH 2015, held in London, united kingdom, in August/September 2015.

The forty two complete papers provided have been conscientiously reviewed and chosen from eighty two submissions. Following the luck of earlier meetings during this sequence, BIH 2015 has a powerful emphasis on rising traits of huge information research and administration know-how for mind study, habit studying, and real-world purposes of mind technology in human future health and wellbeing.

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Additional info for Brain Informatics and Health: 8th International Conference, BIH 2015, London, UK, August 30 - September 2, 2015. Proceedings

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In the current task, we kept the probability constant since we were mainly interested in the precision of memory and how confident people judge their memory to be. On a computer screen a squiggly shape was displayed for 1 sec. The shape was drawn from a pool of 360 continuously modified shapes. After a retention interval of 3 seconds, a circle appears with 30 shapes uniformly aligned (see Fig. 1). The participant indicates his/her best estimate of which shape was shown by pointing at it. Thereafter the participant draws a confidence wedge centered at the best guess.

Probabilistic judgments in deluded and non-deluded subjects. Q. J. Exp. Psychol. A 40(4), 801–12 (1988) 17. : Need for closure, jumping to conclusions, and decisiveness in delusion-prone individuals. J. Nerv. Ment. Diseas. 194(6), 422–426 (2006) 18. : Under what circumstances do patients with schizophrenia jump to conclusions? A liberal acceptance account. Br. J. Clin. Psychol. 46, 127–137 (2007) 19. : Bayesian modelling of Jumpingto-conclusion bias in delusional patients. Cogn. Neuropsychiatry 16, 422–447 (2011) 20.

1 G. Pfuhl et al. Prediction Errors and Types of Uncertainties Fletcher & Frith [5], Pellicano & Burr [6] and van de Cruys et al. [7] all suggested that one relevant computational parameter is the perceived precision of sensory information, as compared to the real precision. The background to that idea is that a fundamental problem in making inferences about the world is to distinguish the effects of our own actions from the effects of other causes. A solution is to predict the effects of our own actions, and to attribute any large enough deviation from that prediction to other causes.

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