We review research from our laboratory that attempts to pull apart the functional and neural mechanisms of visual search using converging, inter-disciplinary evidence from experimental studies with normal participants, neuropsychological studies with brain lesioned patients, functional brain imaging and computational modelling. The work suggests that search is determined by excitatory mechanisms that support the selection of target stimuli, and inhibitory mechanisms that suppress irrelevant distractors. These mechanisms operate through separable though overlapping neural circuits which can be functionally decomposed by imposing model-based analyses on brain imaging data. The chapter highlights the need for inter-disciplinary research for un...
We present the case for a role of biologically plausible neural network modeling in bridging the gap...
We present the case for a role of biologically plausible neural network modeling in bridging the gap...
Visual search data are given a unified quantitative explanation by a model of how spatial maps in th...
We review research from our laboratory that attempts to pull apart the functional and neural mechani...
We argue that cognitive neuroscience can contribute not only information about the neural localizati...
We argue that cognitive neuroscience can contribute not only information about the neural localizati...
The functional magnetic resonance imaging (fMRI) technique was used to investigate the functional ne...
Despite being studied intensively over the past 30 years, the neural processes underlying visual sea...
Visual processes do not amount to a simple filtering process performed by a series of hierarchical m...
To us, visual search for objects in the environment feels effortless as compared to other tasks such...
A computational cognitive neuroscience approach was used to examine processes of visual attention in...
The current work aims to unveil the neural circuits underlying visual search over time and space by ...
Until a few years ago, visual search tasks were of exclusive pertinence to psychophysicists and cogn...
We present the case for a role of biologically plausible neural network modeling in bridging the gap...
The complex neural circuits found in fMRI studies of human attention were decomposed using a model o...
We present the case for a role of biologically plausible neural network modeling in bridging the gap...
We present the case for a role of biologically plausible neural network modeling in bridging the gap...
Visual search data are given a unified quantitative explanation by a model of how spatial maps in th...
We review research from our laboratory that attempts to pull apart the functional and neural mechani...
We argue that cognitive neuroscience can contribute not only information about the neural localizati...
We argue that cognitive neuroscience can contribute not only information about the neural localizati...
The functional magnetic resonance imaging (fMRI) technique was used to investigate the functional ne...
Despite being studied intensively over the past 30 years, the neural processes underlying visual sea...
Visual processes do not amount to a simple filtering process performed by a series of hierarchical m...
To us, visual search for objects in the environment feels effortless as compared to other tasks such...
A computational cognitive neuroscience approach was used to examine processes of visual attention in...
The current work aims to unveil the neural circuits underlying visual search over time and space by ...
Until a few years ago, visual search tasks were of exclusive pertinence to psychophysicists and cogn...
We present the case for a role of biologically plausible neural network modeling in bridging the gap...
The complex neural circuits found in fMRI studies of human attention were decomposed using a model o...
We present the case for a role of biologically plausible neural network modeling in bridging the gap...
We present the case for a role of biologically plausible neural network modeling in bridging the gap...
Visual search data are given a unified quantitative explanation by a model of how spatial maps in th...