Journal
JOURNAL OF NEUROSCIENCE
Volume 21, Issue 22, Pages 8782-8788Publisher
SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.21-22-08782.2001
Keywords
learning; multielectrode array; cultured neurons; neural network; reward; drive reduction
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The results presented here demonstrate selective learning in a network of real cortical neurons. We focally stimulate the network at a low frequency (0.3-1 Hz) until a desired predefined response is observed 50 +/- 10 msec after a stimulus, at which point the stimulus is stopped for 5 min. Repeated cycles of this procedure ultimately lead to the desired response being directly elicited by the stimulus. By plotting the number of stimuli required to achieve the target response in each cycle, we are able to generate learning curves. Presumably, the repetitive stimulation is driving changes in the circuit, and we are selecting for changes consistent with the predefined desired response. To the best of our knowledge, this is the first time learning of arbitrarily chosen tasks, in networks composed of real cortical neurons, is demonstrated outside of the body.
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