Outputs (4)

Generalization of prior information for rapid Bayesian time estimation (2016)
Journal Article
Roach, N. W., McGraw, P. V., Whitaker, D., & Heron, J. (2017). Generalization of prior information for rapid Bayesian time estimation. Proceedings of the National Academy of Sciences, 114(2), 412-417. https://doi.org/10.1073/pnas.1610706114

To enable effective interaction with the environment, the brain combines noisy sensory information with expectations based on prior experience. There is ample evidence showing that humans can learn statistical regularities in sensory input and exploi... Read More about Generalization of prior information for rapid Bayesian time estimation.

Object size determines the spatial spread of visual time (2016)
Journal Article
Fulcher, C., McGraw, P. V., Roach, N. W., Whitaker, D., & Heron, J. (2016). Object size determines the spatial spread of visual time. Proceedings of the Royal Society B: Biological Sciences, 283(1835), Article 20161024. https://doi.org/10.1098/rspb.2016.1024

A key question for temporal processing research is how the nervous system extracts event duration, despite a notable lack of neural structures dedicated to duration encoding. This is in stark contrast to the orderly arrangement of neurons tasked with... Read More about Object size determines the spatial spread of visual time.

Why is the processing of global motion impaired in adults with developmental dyslexia? (2016)
Journal Article
Johnston, R., Pitchford, N. J., Roach, N. W., & Ledgeway, T. (2016). Why is the processing of global motion impaired in adults with developmental dyslexia?. Brain and Cognition, 108, 20-31. https://doi.org/10.1016/j.bandc.2016.07.004

Individuals with dyslexia are purported to have a selective dorsal stream impairment that manifests as a deficit in perceiving visual global motion relative to global form. However, the underlying nature of the visual deficit in readers with dyslexia... Read More about Why is the processing of global motion impaired in adults with developmental dyslexia?.

Perceptual learning shapes multisensory causal inference via two distinct mechanisms (2016)
Journal Article
McGovern, D. P., Roudaia, E., Newell, F. N., & Roach, N. W. (2016). Perceptual learning shapes multisensory causal inference via two distinct mechanisms. Scientific Reports, 6, Article 24673. https://doi.org/10.1038/srep24673

To accurately represent the environment, our brains must integrate sensory signals from a common source while segregating those from independent sources. A reasonable strategy for performing this task is to restrict integration to cues that coincide... Read More about Perceptual learning shapes multisensory causal inference via two distinct mechanisms.