首页|Data on Neural Computation Described by a Researcher at University of Pisa (Lear ning in Associative Networks Through Pavlovian Dynamics)
Data on Neural Computation Described by a Researcher at University of Pisa (Lear ning in Associative Networks Through Pavlovian Dynamics)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on neural comput ation have been published. According to newsoriginating from Pisa, Italy, by Ne wsRx editors, the research stated, “Hebbian learning theory is rooted inPavlov’ s classical conditioning While mathematical models of the former have been propo sed and studiedin the past decades, especially in spin glass theory, only recen tly has it been numerically shown that it ispossible to write neural and synapt ic dynamics that mirror Pavlov conditioning mechanisms and also giverise to syn aptic weights that correspond to the Hebbian learning rule.”
University of PisaPisaItalyEuropeComputationNeural Computation
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