Drazen Domijan

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A computational model is proposed in order to explain how bottom-up and top-down signals are combined into a unified perception of figure and background. The model is based on the interaction between the ventral and the dorsal stream. The dorsal stream computes saliency based on boundary signals provided by the simple and the complex cortical cells. Output(More)
A neural network model is proposed with the ability to extract abstract numerical representation from visual input. It simulates properties of a number detection system which is hypothesized to underlie simple language-independent numerical abilities. The network has three layers where the first layer computes the sum of the nearest neighbour inputs. The(More)
A two-stage model of sustained neural activity in the prefrontal cortex is proposed in order to simulate feature binding and capacity limits in visual working memory. In the first stage, object features are stored in parallel network layers without explicit conjunctions. A second stage binds features into integrated objects consistent with the recent(More)
We proposed a new model of illusory contour formation based on the properties of dendritic computation. The basic elements of the network are a single-excitatory cell with two dendritic branches and an inhibitory cell. Both dendritic branches behave as an independent linear unit with a threshold. They sum all excitatory input from the nearby collinear(More)
Attention modulates the amount of excitatory and inhibitory lateral interactions in the visual cortex. A recurrent neural network is proposed to account for modulatory influence of top-down signals. In the model, two types of inhibitions are distinguished: dendritic and lateral inhibitions. Dendritic inhibition regulates the amount of impact that(More)
BACKGROUND AND OBJECTIVE According to the cognitive behavioural model of irritable bowel syndrome (IBS) selective attention to visceral stimuli is one of the pathophysiological mechanisms in IBS. We aimed to investigate attentional biases in patients with IBS and to explore the relationship between neuroticism, trait anxiety, visceral anxiety and indices of(More)
A recurrent network is proposed with the ability to bind image features into a unified surface representation within a single layer and without capacity limitations or border effects. A group of cells belonging to the same object or surface is labeled with the same activity amplitude, while cells in different groups are kept segregated due to lateral(More)
Research on grounded cognition suggests that the processing of a word or concept reactivates the perceptual representations that are associated with the referent object. The objective of this work is to demonstrate how behavioral and functional neuroimaging data on grounded cognition can be understood as different manifestations of the same cortical circuit(More)