| Document Date: 2010-11-04 09:48:55
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Company Hasselmo How Inhibitory Oscillations Can Train Neural Networks / Complementary Learning Systems / Apple / / / Event Product Recall / Product Issues / / Facility Princeton University / Massachusetts Institute of Technology / / IndustryTerm kWTA algorithm / neural network learning algorithm / weight update algorithm / neocortical processing / neural networks / neural processing / neural learning algorithms / oscillation-based learning algorithm / Given processing noise / learning algorithm / learning algorithms / rate-coded neural networks / / Organization Princeton University / Massachusetts Institute of Technology / Department of Psychology / / Person Kenneth A. Norman / Sean Polyn / Greg Detre / Michael Anderson / Michael Hasselmo How Inhibitory / / Position General / lawyer / / Product competitor / recall / / ProvinceOrState New Jersey / Massachusetts / / Technology learning algorithm / Leabra algorithm / oscillation-based learning algorithm / neural learning algorithms / CHL algorithm / neural network learning algorithm / kWTA algorithm / oscillating learning algorithm / Simulation / 2006 Massachusetts Institute of Technology / oscillating algorithm / weight update algorithm / /
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LETTER Communicated by Michael Hasselmo How Inhibitory Oscillations Can Train Neural Networks and Punish Competitors