منابع مشابه
Action of brain-derived neurotrophic factor on function and morphology of visual cortical neurons
Brain-derived neurotrophic factor (BDNF) is known to play a role in experience-dependent plasticity of the developing visual cortex. For example, BDNF acutely enhances long-term potentiation and blocks long-term depression in the visual cortex of young rats. Such acute actions of BDNF suggested to be mediated mainly through presynaptic mechanisms. A chronic application of BDNF to the visual cor...
متن کاملAction of brain-derived neurotrophic factor on function and morphology of visual cortical neurons
Brain-derived neurotrophic factor (BDNF) is known to play a role in experience-dependent plasticity of the developing visual cortex. For example, BDNF acutely enhances long-term potentiation and blocks long-term depression in the visual cortex of young rats. Such acute actions of BDNF suggested to be mediated mainly through presynaptic mechanisms. A chronic application of BDNF to the visual cor...
متن کاملUsing functional magnetic resonance imaging (fMRI) to explore brain function: cortical representations of language critical areas
Pre-operative determination of the dominant hemisphere for speech and speech associated sensory and motor regions has been of great interest for the neurological surgeons. This dilemma has been of at most importance, but difficult to achieve, requiring either invasive (Wada test) or non-invasive methods (Brain Mapping). In the present study we have employed functional Magnetic Resonance Imaging...
متن کاملHigher cortical function
We have seen that relatively restricted focal lesions can produce discrete changes in sensory and motor system functioning. We will now begin to illustrate that focal lesions also can produce discrete changes in cognitive-intellectual functions as well. Disorders of higher cortical function can be quite difficult to localize and the terminology employed to describe these conditions can be quite...
متن کاملTheory of cortical function.
Most models of sensory processing in the brain have a feedforward architecture in which each stage comprises simple linear filtering operations and nonlinearities. Models of this form have been used to explain a wide range of neurophysiological and psychophysical data, and many recent successes in artificial intelligence (with deep convolutional neural nets) are based on this architecture. Howe...
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ژورنال
عنوان ژورنال: Current Biology
سال: 1999
ISSN: 0960-9822
DOI: 10.1016/s0960-9822(99)80109-2