Closed-loop brain training: the science of neurofeedback

R Sitaram, T Ros, L Stoeckel, S Haller… - Nature Reviews …, 2017 - nature.com
Neurofeedback is a psychophysiological procedure in which online feedback of neural
activation is provided to the participant for the purpose of self-regulation. Learning control …

[PDF][PDF] What is consciousness, and could machines have it?

S Dehaene, H Lau, S Kouider - Robotics, AI, and humanity …, 2021 - library.oapen.org
The controversial question of whether machines may ever be conscious must be based on a
careful consideration of how consciousness arises in the only physical system that …

[CITATION][C] Consciousness and the Brain: Deciphering How the Brain Codes Our Thoughts

S Dehaene - 2014 - books.google.com
WINNER OF THE 2014 BRAIN PRIZE From the acclaimed author of Reading in the Brain
and How We Learn, a breathtaking look at the new science that can track consciousness …

[BOOK][B] The evolution of the sensitive soul: Learning and the origins of consciousness

S Ginsburg, E Jablonka - 2019 - books.google.com
A new theory about the origins of consciousness that finds learning to be the driving force in
the evolutionary transition to basic consciousness. What marked the evolutionary transition …

Common and distinct networks underlying reward valence and processing stages: a meta-analysis of functional neuroimaging studies

X Liu, J Hairston, M Schrier, J Fan - Neuroscience & Biobehavioral …, 2011 - Elsevier
To better understand the reward circuitry in human brain, we conducted activation likelihood
estimation (ALE) and parametric voxel-based meta-analyses (PVM) on 142 neuroimaging …

Empirical support for higher-order theories of conscious awareness

H Lau, D Rosenthal - Trends in cognitive sciences, 2011 - cell.com
Higher-order theories of consciousness argue that conscious awareness crucially depends
on higher-order mental representations that represent oneself as being in particular mental …

Deeply felt affect: The emergence of valence in deep active inference

C Hesp, R Smith, T Parr, M Allen, KJ Friston… - Neural …, 2021 - direct.mit.edu
The positive-negative axis of emotional valence has long been recognized as fundamental
to adaptive behavior, but its origin and underlying function have largely eluded formal …

Branding the brain: A critical review and outlook

H Plassmann, TZ Ramsøy, M Milosavljevic - Journal of consumer …, 2012 - Elsevier
The application of neuroscience to marketing, and in particular to the consumer psychology
of brands, has gained popularity over the past decade in the academic and the corporate …

The propositional nature of human associative learning

CJ Mitchell, J De Houwer, PF Lovibond - Behavioral and Brain …, 2009 - cambridge.org
The past 50 years have seen an accumulation of evidence suggesting that associative
learning depends on high-level cognitive processes that give rise to propositional …

Trial-by-trial data analysis using computational models

ND Daw - Decision making, affect, and learning: Attention and …, 2011 - books.google.com
Researchers have recently begun to integrate computational models into the analysis of
neural and behavioral data, particularly in experiments on reward learning and decision …