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Activation function binary threshold

The binary threshold activation function was used in early attempts to create ANNs because of a perceived parallel between this function and the way that neurons operate in the brain. Neurons require a certain level of activation before they will "fire," otherwise they are quiescent. A TLU functions in the same way. [Pg.18]

To address general questions of connectivity and function, the system is modeled with time-discrete, binary neurons (McCulloch and Pitts 1943) which fire (have value 1) whenever the sum of active, connected neurons in the previous time step is larger than their firing threshold 6,... [Pg.7]


See other pages where Activation function binary threshold is mentioned: [Pg.17]    [Pg.19]    [Pg.253]    [Pg.214]    [Pg.343]    [Pg.375]    [Pg.240]    [Pg.228]    [Pg.275]    [Pg.646]    [Pg.35]    [Pg.180]    [Pg.361]    [Pg.670]    [Pg.630]   
See also in sourсe #XX -- [ Pg.17 , Pg.18 ]




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