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Brain–computer interface
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====Kennedy and Yang Dan==== Phillip Kennedy (Neural Signals founder (1987) and colleagues built the first intracortical brain–computer interface by implanting neurotrophic-cone [[electrodes]] into monkeys.{{Citation needed|date=February 2012}}[[File:LGN Cat Vison Recording.jpg|thumb|Yang Dan and colleagues' recordings of cat vision using a BCI implanted in the [[lateral geniculate nucleus]] (top row: original image; bottom row: recording)]]In 1999, [[Yang Dan (neuroscientist)|Yang Dan]] et al. at [[University of California, Berkeley]] decoded neuronal firings to reproduce images from cats. The team used an array of electrodes embedded in the [[thalamus]] (which integrates the brain's sensory input). Researchers targeted 177 brain cells in the thalamus [[lateral geniculate nucleus]] area, which decodes signals from the [[retina]]. Neuron firings were recorded from watching eight short movies. Using mathematical filters, the researchers decoded the signals to reconstruct recognizable scenes and moving objects.<ref>{{cite journal | vauthors = Stanley GB, Li FF, Dan Y | title = Reconstruction of natural scenes from ensemble responses in the lateral geniculate nucleus | journal = The Journal of Neuroscience | volume = 19 | issue = 18 | pages = 8036–8042 | date = September 1999 | pmid = 10479703 | pmc = 6782475 | doi = 10.1523/JNEUROSCI.19-18-08036.1999 }}</ref>
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