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connectionism

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symbolism neural network artificial intelligence cognition neuron synapse weight activation layer perceptron backpropagation learning pattern recognition parallelism node connection plasticity brain mind architecture computation model simulation cognitive science psychology neuroscience deep learning hidden layer threshold bias gradient descent error convergence signal excitation inhibition machine learning inference generalization overfitting underfitting stochastic algorithm tensor matrix vector activation function sigmoid softmax autoencoder embedding latent space logic formalism heuristics optimization training set epoch learning rate

Last Updated: May 2026•Report an Error

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