BSc (Hons) in Computer Science; BA (Hons) in Psychology
Oxford Centre for Theoretical Neuroscience & Artifical Intelligence (Stringer Lab)
My research focuses on seeking biologically plausible accounts of visual processing in the brain. My aim is to uncover the processing principles by which the brain is able to represent the richness and complexity of natural visual scenes via computational modelling. This study will help to improve our understanding of how exactly the brain functions, which is a question that cannot be answered just by analyzing data collected from many experiments.
Over successive stages, the primate ventral visual pathway develops neurons that respond to particular objects or faces independently of their position, size or orientation. The ventral visual pathway is thus thought to be responsible for transform-invariant visual object and face recognition in the brain. However, it remains a difficult challenge to understand exactly how these neurons develop their response properties during learning. The learning processes will depend on how the neurons interact with each other through successive layers of the ventral visual pathway as they are driven by rich visual input from natural scenes. This can only be investigated through computer simulations that accurately model the behaviour of individual neurons, how these neurons are linked together in the brain, how the synaptic connections between cells are modified during learning, and the statistical properties of the visual input from the sensory environment.
Understanding the Neural Basis of Cognitive Bias Modification as a Clinical Treatment for Depression
Eguchi A. et al, (2017), Journal of Consulting and Clinical Psychology, 85
Neural network model develops border ownership representation through visually guided learning.
Eguchi A. and Stringer SM., (2016), Neurobiol Learn Mem, 136, 147 - 165
The visually guided development of facial representations in the primate ventral visual pathway: A computer modeling study.
Eguchi A. et al, (2016), Psychol Rev, 123, 696 - 739
A computational exploration of complementary learning mechanisms in the primate ventral visual pathway.
Spoerer CJ. et al, (2016), Vision Res, 119, 16 - 28
Towards a Situation-Aware Architecture for the Wisdom Web of Things
Eguchi A. et al, (2016), Wisdom Web of Things