Grant Robertson and Richard Shillcock
Tue 05 Dec 2017, 11:00 - 12:00
IF 4.31/4.33

If you have a question about this talk, please contact: Gareth Beedham (gbeedham)

Richard Shillcock

Understanding the central fixation bias in scene viewing

Richard Shillcock & Beren Millidge

I will report on research by Beren Millidge concerning the enduring bias that people have to fixate towards the centre

of scenes presented on a screen. Various explanations have been suggested in the literature. We present an implemented 

model of scene processing from which the central fixation bias emerges incidentally and quite naturally. Our overall approach

echoes the current orientation within Cogntive Science towards prediction.


Grant Robertson

Community detection in the post synaptic proteome 

Synapses are responsible for signal transduction an neural plasticity in the brain. Genetic mutations in the synaptic proteome are responsible for over 100 brain disorders1. The synaptic proteome is a complex structure formed from the interactions of thousands of constituent proteins.

The proteome can be represented as a network where the vertices are proteins or the genes that encode them, and edges occur between proteins that interact. Communities are large scale structures within the network representing a subnetwork with dense interconnections. Previous studies have shown the association of structural communities within parts of the synaptic proteome with particular functions or disorders2.

The Armstrong group and Simpson group have recently produced the most up to date static interaction graph of the post synaptic proteome. In this talk I will discuss finding communities in this graph and how this can help to interpret the results of large scale GWAS of complex traits and neuropsychiatric disorders.


1 Grant, S.G., 2012. Synaptopathies: diseases of the synaptome. Current opinion in neurobiology, 22(3), pp.522-529.

2 Pocklington, A.J., Cumiskey, M., Armstrong, J.D. and Grant, S.G., 2006. The proteomes of neurotransmitter receptor complexes form modular networks with distributed functionality underlying plasticity and behaviour. Molecular systems biology, 2(1).