Computational neuroimaging methods aim to predict brain responses (measured eg with
functional magnetic resonance imaging [fMRI]) on the basis of stimulus features obtained …

In albinism, the pathological decussation of the temporal retinal afferents at the optic chiasm
leads to superimposed representations of opposing hemifields in the visual cortex. Here, we …

The characterization of receptive field (RF) properties is fundamental to understanding the
neural basis of sensory and cognitive behaviour. The combination of non-invasive imaging …

Unsolved questions in computational visual neuroscience research are whether and how
neurons and their connecting cortical networks can adapt when normal vision is …

The majority of neurons in the human brain process signals from neurons elsewhere in the
brain. Connective Field (CF) modelling is a biologically-grounded method to describe this …

Previous studies demonstrated that alterations in functional MRI derived receptive field
(pRF) properties in cortical projection zones of retinal lesions can erroneously be mistaken …

The visual brain has the remarkable capacity to complete our percept of the world even
when the information extracted from the visual scene is incomplete. This ability to predict …

Simultaneous EEG-fMRI measurements are used to study epileptic patients in order to
localize brain regions associated with interictal epileptiform discharges (IEDs). The common …

The characterization of receptive field (RF) properties is fundamental to understanding the
neural basis of sensory and cognitive behaviour. The combination of non-invasive imaging …

The majority of neurons in the human brain process signals from neurons elsewhere in the
brain. Connective Field (CF) modeling is a biologically-grounded method to describe this …