Dr. Micah Allen

Research on the neurobiology of embodied predictive processing and metacognition. 

18119410_10106501919118812_7956250050664262621_n (1)I’m currently a Research Associate at  Cambridge Psychiatry, where I work together with Professor Paul Fletcher to investigate the neural computations underpinning brain-body interaction. We’re currently applying for funding to launch my own Brain-Body Neuroscience Lab within Cambridge Psychiatry, so that we can better understand how interoception shapes psychiatric and health-harming disorders. At the most general level, my research interests concern the computational mechanisms by which visceral and somatic states influence subjective awareness, emotion, and self-monitoring

Academic Biography: My academic career began at the University of Central Florida, where I was mentored by Shaun Gallagher in the interdisciplinary application of philosophy, phenomenology, and experimental psychology to the embodied self. In 2012, I completed a PhD in Neuroscience at Aarhus University within the Interacting Minds Centre, where I worked with Chris Frith and Andreas Roepstorff to investigate how mindfulness-based stress reduction impacts cognitive control and affective neural processing. From 2013 – 2018 I was a Postdoctoral Fellow jointly in the  FIL and ICN at  University College London, where I worked with Professor Geraint Rees and Karl J Friston to develop embodied predictive processing models of metacognitive inference.

I’m extremely active on social media and love to be involved in science outreach. You can find our latest publications here and here (Google Scholar). Read more about our research here. My CV is here. You can also keep up with my thoughts on cognitive science and neuroscience at my blog, Neuroconscience. Here is a summary of our research impact. The easiest way to get in touch with me is to tweet @neuroconscience or @micahgallen. I also manage the @cogneurojobs twitter account, where you can find funding calls and job postings in the fields of psychology, neuroscience, and brain imaging.