Scott Cheng-Hsin Yang

Scott Cheng-Hsin Yang

University position

Research Associate


Department of Engineering


Home page (personal home page)

Research Themes

Cognitive and Behavioural Neuroscience

Systems and Computational Neuroscience


I study Bayesian active sensing in sensorimotor control. Up until now the field has focused primarily on visual search tasks. I aim to go beyond the conventional and explore active sensing in more complex scenarios both experimentally and theoretically. We have recently developed a novel paradigm for visual categorization, in which we presented patterns generated with Gaussian processes as stimuli and controlled the visual information participants could obtain via a gaze-contingent display. We simulated the 'eye movements' of the optimal Bayesian active sensor under the same experimental condition and showed, by comparing the participants' eye movements to the optimal ones, that human active sensing is near-optimal under this setting. I plan to extend the paradigm and model from the visual system to the motor system and eventually to a combination of the two.

Research Focus


Active sensing

Bayesian modelling

Motor control

Eye movement

Clinical conditions

No direct clinical relevance


Behavioural analysis



Máté Lengyel

Daniel Wolpert

Associated News Items



Baker A, Audit B, Yang SC, Bechhoefer J, Arneodo A (2012), “Inferring where and when replication initiates from genome-wide replication timing data.” Phys Rev Lett 108(26):268101 Details


Rhind N, Yang SC, Bechhoefer J (2010), “Reconciling stochastic origin firing with defined replication timing.” Chromosome Res 18(1):35-43 Details

Yang SC, Rhind N, Bechhoefer J (2010), “Modeling genome-wide replication kinetics reveals a mechanism for regulation of replication timing.” Mol Syst Biol 6:404 Details


Yang SC, Gauthier MG, Bechhoefer J (2009), “Computational methods to study kinetics of DNA replication.” Methods Mol Biol 521:555-73 Details


Yang SC, Bechhoefer J (2008), “How Xenopus laevis embryos replicate reliably: investigating the random-completion problem.” Phys Rev E Stat Nonlin Soft Matter Phys 78(4 Pt 1):041917 Details