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• W2055990517 startingPage "1866" @default.
• W2055990517 abstract "Inputting information to the brain through direct electrical microstimulation must consider how underlying neural networks encode information. One unexplored possibility is that a single electrode delivering temporally coded stimuli, mimicking an asynchronous serial communication port to the brain, can trigger the emergence of different brain states. This work used a discriminative fear-conditioning paradigm in rodents in which 2 temporally coded microstimulation patterns were targeted at the amygdaloid complex. Each stimulus was a binary-coded “word” made up of 10 ms bins, with 1's representing a single pulse stimulus: A-1001111001 and B-1110000111. During 3 consecutive retention tests (i.e., day-word: 1-B; 2-A, and 3-B), only binary-coded words previously paired with a foot-electroshock elicited proper aversive behavior. To determine the neural substrates recruited by the different stimulation patterns, c-Fos expression was evaluated 90 min after the last retention test. Animals conditioned to word-B, after stimulation with word-B, demonstrated increased hypothalamic c-Fos staining. Animals conditioned to word-A, however, showed increased prefrontal c-Fos labeling. In addition, prefrontal-cortex and hypothalamic c-Fos staining for, respectively, word-B- and word-A-conditioned animals, was not different than that of an unpaired control group. Our results suggest that, depending on the valence acquired from previous learning, temporally coded microstimulation activates distinct neural networks and associated behavior." @default.
• W2055990517 created "2016-06-24" @default.
• W2055990517 creator A5021607060 @default.
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• W2055990517 creator A5087509241 @default.
• W2055990517 date "2015-01-21" @default.
• W2055990517 modified "2023-10-16" @default.
• W2055990517 title "Triggering Different Brain States Using Asynchronous Serial Communication to the Rat Amygdala" @default.
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• W2055990517 doi "https://doi.org/10.1093/cercor/bhu313" @default.
• W2055990517 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25609241" @default.
• W2055990517 hasPublicationYear "2015" @default.
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