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1.
Sci Adv ; 6(43)2020 10.
Article in English | MEDLINE | ID: mdl-33097536

ABSTRACT

High-level sensory and motor cortical areas are activated when processing the meaning of language, but it is unknown whether, and how, words share a neural substrate with corresponding sensorimotor representations. We recorded from single neurons in human posterior parietal cortex (PPC) while participants viewed action verbs and corresponding action videos from multiple views. We find that PPC neurons exhibit a common neural substrate for action verbs and observed actions. Further, videos were encoded with mixtures of invariant and idiosyncratic responses across views. Action verbs elicited selective responses from a fraction of these invariant and idiosyncratic neurons, without preference, thus associating with a statistical sampling of the diverse sensory representations related to the corresponding action concept. Controls indicated that the results are not the product of visual imagery or arbitrary learned associations. Our results suggest that language may activate the consolidated visual experience of the reader.


Subject(s)
Brain Mapping , Motor Cortex , Brain Mapping/methods , Humans , Language , Magnetic Resonance Imaging , Motor Cortex/physiology , Parietal Lobe/physiology
2.
J Neurophysiol ; 105(1): 305-20, 2011 Jan.
Article in English | MEDLINE | ID: mdl-21068269

ABSTRACT

How is the macaque monkey extrastriate cortex organized? Is vision divisible into separate tasks, such as object recognition and spatial processing, each emphasized in a different anatomical stream? If so, how many streams exist? What are the hierarchical relationships among areas? The present study approached the organization of the extrastriate cortex in a novel manner. A principled relationship exists between cortical function and cortical topography. Similar functions tend to be located near each other, within the constraints of mapping a highly dimensional space of functions onto the two-dimensional space of the cortex. We used this principle to re-examine the functional organization of the extrastriate cortex given current knowledge about its topographic organization. The goal of the study was to obtain a model of the functional relationships among the visual areas, including the number of functional streams into which they are grouped, the pattern of informational overlap among the streams, and the hierarchical relationships among areas. To test each functional description, we mapped it to a model cortex according to the principle of optimal continuity and assessed whether it accurately reconstructed a version of the extrastriate topography. Of the models tested, the one that best reconstructed the topography included four functional streams rather than two, six levels of hierarchy per stream, and a specific pattern of informational overlap among streams and areas. A specific mixture of functions was predicted for each visual area. This description matched findings in the physiological literature, and provided predictions of functional relationships that have yet to be tested physiologically.


Subject(s)
Macaca/anatomy & histology , Macaca/physiology , Models, Anatomic , Models, Biological , Visual Cortex/anatomy & histology , Visual Cortex/physiology , Algorithms , Animals , Behavior, Animal/physiology , Brain Mapping , Visual Pathways/physiology
3.
J Exp Psychol Hum Percept Perform ; 34(5): 1066-77, 2008 Oct.
Article in English | MEDLINE | ID: mdl-18823195

ABSTRACT

Human subjects practiced navigation in a virtual, computer-generated maze that contained 4 spatial dimensions rather than the usual 3. The subjects were able to learn the spatial geometry of the 4-dimensional maze as measured by their ability to perform path integration, a standard test of spatial ability. They were able to travel down a winding corridor to its end and then point back accurately toward the occluded origin. One interpretation is that the brain substrate for spatial navigation is not a built-in map of the 3-dimensional world. Instead it may be better described as a set of general rules for manipulating spatial information that can be applied with practice to a diversity of spatial frameworks.


Subject(s)
Adaptation, Physiological , Maze Learning , Orientation , Space Perception , Adult , Female , Humans , Male , Problem Solving , Rotation , User-Computer Interface
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