AbstractCurrent models of the visual pathways have difficulty incorporating the human inferior parietal lobe (IPL) into dorsal or ventral streams. Some recent proposals have attempted to integrate aspects of IPL function that were not hitherto dealt with well, such as differences between the left and right hemisphere and the role of the right IPL in responding to salient environmental events. However, we argue that these models also fail to capture adequately some important findings regarding the functions of the IPL. Here we critically appraise existing proposals regarding the functional architecture of the visual system, with special emphasis on the role of this region, particularly in the right hemisphere. We review evidence that shows t...
Posterior parietal cortex contains several areas defined by topographically organized maps of the co...
The inferior parietal lobe (IPL) is a key neural substrate underlying diverse mental processes, from...
The Default Mode Network (DMN) is most typically studied as a cohesive neural network, and it is gen...
Current models of the visual pathways have difficulty incorporating the human inferior parietal lobe...
AbstractCurrent models of the visual pathways have difficulty incorporating the human inferior parie...
Current views of the parietal cortex have difficulty accommodating the human inferior parietal lobe ...
AbstractThe human cortical visual system is organized into two major pathways: a dorsal stream proje...
The exact role of the parietal lobe in spatial cognition is controversial. One influential hypothesi...
Traditionally, both the monkey and human posterior parietal cortex (PPC) have been considered to hav...
According to a longstanding view, inferior as opposed to superior parietal cortex critically contrib...
While reviewing Bálint’s syndrome and its different interpretations, a new framework of the anatomic...
Attention defines our mental ability to select and respond to stimuli, internal or external, on the ...
The parietal cortex has been proposed as part of the neural network for guiding spatial attention. H...
& It is widely agreed that visuospatial orienting attention depends on a network of frontal and ...
It is widely agreed that visuospatial orienting attention depends on a network of frontal and pariet...
Posterior parietal cortex contains several areas defined by topographically organized maps of the co...
The inferior parietal lobe (IPL) is a key neural substrate underlying diverse mental processes, from...
The Default Mode Network (DMN) is most typically studied as a cohesive neural network, and it is gen...
Current models of the visual pathways have difficulty incorporating the human inferior parietal lobe...
AbstractCurrent models of the visual pathways have difficulty incorporating the human inferior parie...
Current views of the parietal cortex have difficulty accommodating the human inferior parietal lobe ...
AbstractThe human cortical visual system is organized into two major pathways: a dorsal stream proje...
The exact role of the parietal lobe in spatial cognition is controversial. One influential hypothesi...
Traditionally, both the monkey and human posterior parietal cortex (PPC) have been considered to hav...
According to a longstanding view, inferior as opposed to superior parietal cortex critically contrib...
While reviewing Bálint’s syndrome and its different interpretations, a new framework of the anatomic...
Attention defines our mental ability to select and respond to stimuli, internal or external, on the ...
The parietal cortex has been proposed as part of the neural network for guiding spatial attention. H...
& It is widely agreed that visuospatial orienting attention depends on a network of frontal and ...
It is widely agreed that visuospatial orienting attention depends on a network of frontal and pariet...
Posterior parietal cortex contains several areas defined by topographically organized maps of the co...
The inferior parietal lobe (IPL) is a key neural substrate underlying diverse mental processes, from...
The Default Mode Network (DMN) is most typically studied as a cohesive neural network, and it is gen...