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perceptron

n. a connected network of input and output nodes that acts as a useful model of associative neural networks. A simple (single-layer) perceptron might stand for two connected neurons, whereas more complicated perceptrons have additional hidden layers between input and output. The connections between the inputs and outputs can be weighted to model the desired output. The goal is to develop a theoretical understanding of the way neural connections process signals and form associations (memories). Back-propagation (backprop) algorithms describe the most common process by which the weightings between input and output are adjusted. The output is compared to a desired endpoint, and changes needed in the strengths of the connections are transmitted back through the perceptron.

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Psychology term of the day

December 23rd 2024

kinesthesis

kinesthesis

n. the sense that provides information through receptors in the muscles, tendons, and joints, enabling humans and other animals to control and coordinate their movements, including walking, talking, facial expressions, gestures, and posture. Also called kinesthesia; kinesthetic sense; movement sense. See proprioception. —kinesthetic adj.