References
Selected reading for my research interests.
Learning & predictive representations
Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects. ↗
Rao, R. P. N., & Ballard, D. H. (1999).
Nature Neuroscience, 2, 79–87.
Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment. ↗
Berkes, P., Orbán, G., Lengyel, M., & Fiser, J. (2011).
Science, 331, 83–87.
Expectation in perceptual decision making: neural and computational mechanisms. ↗
Summerfield, C., & de Lange, F. P. (2014).
Nature Reviews Neuroscience, 15, 745–756.
A neural substrate of prediction and reward. ↗
Schultz, W., Dayan, P., & Montague, P. R. (1997).
Science, 275, 1593–1599.
Uncertainty & rule updating
An approximately Bayesian delta-rule model explains the dynamics of belief updating in a changing environment. ↗
Nassar, M. R., Wilson, R. C., Heasly, B., & Gold, J. I. (2010).
Journal of Neuroscience, 30, 12366–12378.
Context, learning, and extinction. ↗
Gershman, S. J., Blei, D. M., & Niv, Y. (2010).
Psychological Review, 117, 197–209.
Uncertainty, neuromodulation, and attention. ↗
Yu, A. J., & Dayan, P. (2005).
Neuron, 46, 681–692.
Confidence as Bayesian probability: from neural origins to behavior. ↗
Meyniel, F., Sigman, M., & Mainen, Z. F. (2015).
Neuron, 88, 78–92.
Interoception, affect & self-representation
Neural systems supporting interoceptive awareness. ↗
Critchley, H. D., Wiens, S., Rotshtein, P., Öhman, A., & Dolan, R. J. (2004).
Nature Neuroscience, 7, 189–195.
Interoceptive predictions in the brain. ↗
Barrett, L. F., & Simmons, W. K. (2015).
Nature Reviews Neuroscience, 16, 419–429.
Being a beast machine: the somatic basis of selfhood. ↗
Seth, A. K., & Tsakiris, M. (2018).
Trends in Cognitive Sciences, 22, 969–981.
Self-evaluation of decision-making: a general Bayesian framework for metacognitive computation. ↗
Fleming, S. M., & Daw, N. D. (2017).
Psychological Review, 124, 91–114.