金牌原創(chuàng)]cognitive neuroscience-全文預(yù)覽
【正文】 sly ? Some biological plausibility S Idealized neurons (units) Output Processor Inputs Abstract, simplified description of a neuron Different ways to represent information with neural works: localist representation concept 1 concept 2 concept 3 Each unit represents just one item ? “grandmother” cells 1 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 (activations of units。 so if its input exceeds 1 then it will respond with +1, but if the input is less than 1 then it will respond with –1 NeuralNetwork Models The simplest models include three layers of units: (1) The input layer is a set of units that receives stimulation from the external environment. (2) The units in the input layer are connected to units in a hidden layer, so named because these units have no direct contact with the environment. (3) The units in the hidden layer in turn are connected to those in the output layer. Multilayered Networks ? Activation flows from a layer of input units through a set of hidden units to output units ? Weights determine how input patterns are mapped to output patterns ? Network can learn to associate output
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