Brain

Cognitive scientists typically classify cognitive processes as either controlled or automatic. Whereas controlled processes are slow and effortful, automatic processes are fast and involuntary. Over the past decade, we have propelled a research trajectory investigating how top-down influence in the form of suggestion can allow individuals to modulate the automaticity of cognitive processes. Here we present an overarching array of converging findings that collectively indicate that certain individuals can derail involuntary processes, such as reading, by " unringing " the proverbial bell. We examine replications of these effects from both our own laboratory and independent groups, and extend our Stroop findings to several other well-established automatic paradigms, including the McGurk effect. We thus demonstrate how, in the case of highly suggestible individuals, suggestion seems to wield control over a process that is likely even more automatic than the Stroop effect. Finally, we present findings from two novel experimental paradigms exploring the potential of shifting automaticity in the opposite direction e i.e., transforming, without practice, a controlled task into one that is automatic. Drawing on related evidence from the neuroscience of contemplative practices, we discuss how these findings pave the road to a more scientific understanding of voluntary control and automaticity, and expound on their possible experimental and therapeutic applications.

Neurofeedback is emerging as a promising technique that enables self-regulation of ongoing brain oscillations. However, despite a rise in empirical evidence attesting to its clinical benefits, a solid theoretical basis is still lacking on the manner in which neurofeedback is able to achieve these outcomes. The present work attempts to bring together various concepts from neurobiology, engineering, and dynamical systems so as to propose a contemporary theoretical framework for the mechanistic effects of neurofeedback. The objective is to provide a firmly neurophysiological account of neurofeedback, which goes beyond traditional behaviorist interpretations that attempt to explain psychological processes solely from a descriptive standpoint whilst treating the brain as a ‘black box’. To this end, we interlink evidence from experimental findings that encompass a broad range of intrinsic brain phenomena: starting from ‘bottom-up’ mechanisms of neural synchronization, followed by ‘top-down’ regulation of internal brain states, moving to dynamical systems plus control-theoretic principles, and concluding with activity-dependent as well as homeostatic forms of brain plasticity. In support of our framework, we examine the effects of neurofeedback in several brain disorders, including attention-deficit hyperactivity (ADHD) and post-traumatic stress disorder (PTSD). The central thesis put forward is that neurofeedback tunes brain oscillations toward a homeostatic set-point which maintains optimal network flexibility and stability (i.e. self-organized criticality).