How do conscious experience, subjectivity and 'free will' arise from their biological substrates?

Even in the late 20th century, consciousness was considered by many to be outside the reach or remit of science. Now, powerful new combinations of functional brain imaging, theoretical and computational modelling, and basic neurobiology bring real hope that human ingenuity can resolve this central mystery of life. Practically, an enhanced understanding of consciousness will transform clinical approaches to a wide range of neurological and psychiatric disorders, from coma to insomnia, from depression and schizophrenia to autism and dementia.

Founded in 2010 with a generous donation from the Dr. Mortimer and Dame Theresa Sackler Foundation, the Sackler Centre for Consciousness Science represents a new and multidisciplinary approach to clinical intervention and diagnosis, based on the science of the complex brain networks that give rise to consciousness. 

In 2012 the Sackler Centre for Consciousness Science hosted the 16th Annual Meeting of the Association for the Scientific Study of Consciousness (ASSC16), in the Brighton Dome and Corn Exchange, in the heart of the city. Listen to a selection of the ASSC16 Keynote lectures.

The Sackler Centre was recently featured in the University of Sussex 5 year strategic plan as the single 'case study' for research excellence and is one of the many active research centres within the Sussex Neuroscience community.

**Research and postgraduate opportunities at the Sackler Centre:**

Please note our recently advertised positions for a full time postdoctoral research position, and two fully-funded PhD studentships for 2015 entry, are now closed. Please check back to the Sackler postgraduate study website for details of future PhD projects available for 2016 entry.

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The Sackler Centre for Consciousness Science was founded in 2010 to unravel the biological basis of consciousness and generate new clinical applications.

RT @NeuroConsc: Kicking off the week by unraveling the mysteries of time perception @sacklercentre @ksk_S #oculus pic.twitter.com/fzhdSvDHBr

RT @anilkseth: New evidence for gamma-band signalling of perceptual prediction errors from Michael Wibral &c jneurosci.org/content/35/24/… #sccs

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