Reversible large-scale modification of cortical networks during neuroprosthetic control.
Reversible large-scale modification of cortical networks during neuroprosthetic control.
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DOI:
10.1038/nn.2797
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发表时间:
2011-05
影响因子:
25
通讯作者:
Carmena, Jose M.
中科院分区:
文献类型:
--
作者:
Ganguly, Karunesh;Dimitrov, Dragan F.;Wallis, Jonathan D.;Carmena, Jose M.
Brain-Machine Interfaces (BMI) provide a framework to study cortical dynamics and the neural correlates of learning. Neuroprosthetic control has been associated with tuning changes in specific neurons directly projecting to the BMI (hereafter ‘direct neurons’). However, little is known about the larger network dynamics. By monitoring ensembles of neurons that were either causally linked to BMI control or indirectly involved, here we show that proficient neuroprosthetic control is associated with large-scale modifications to the cortical network in macaque monkeys. Specifically, there were changes in the preferred direction of both direct and indirect neurons. Interestingly, with learning, there was a relative decrease in the net modulation of indirect neural activity in comparison to the direct activity. These widespread differential changes in the direct and indirect population activity were remarkably stable from one day to the next and readily coexisted with the long-standing cortical network for upper limb control. Thus, the process of learning BMI control is associated with differential modification of neural populations based on their specific relation to movement control.
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DOI:
10.1073/pnas.0808113105
发表时间:
2008-12-09
影响因子:
11.1
作者:
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通讯作者:
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影响因子:
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通讯作者:
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通讯作者:
Millan, J. del R.
影响因子:
25
作者:
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通讯作者:
Nicolelis, MAL