Neuro-computational modeling of perisaccadic visual perception and attention

• Applicant: Professor Dr.-Ing. Fred Henrik Hamker
• Subject Area: Cognitive, Systems and Behavioural Neurobiology ; Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
• Term: since 2020
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 444785207

During natural vision humans and non-human primates make several saccadic eye movements each second that result in large changes in the retinal input. Despite these often dramatic changes, our visual percept remains remarkably stable and we can readily attend to and direct motor actions towards objects in our visual environment. A large set of experimental data describes different forms of receptive field dynamics which we aim to better understand by the design and development of neuro-computational models. We will investigate the neural circuits linking vision, attention and oculomotor planning that stabilize perceptual and attentional representations during natural vision. This neural model will be initially primarily used to better understand the processes in the brain, but in the long run, it will also guide us to design brain-inspired, active vision systems.

• DFG Programme: Research Grants