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In this work, we formulate NEWRON: a generalization of the McCulloch-Pitts neuron structure.
The Perceptron: A Probabilistic Model for Information Storage and Organization in The Brain
Rosenblatt, F. 1958 · 1958
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Approximation by superpositions of a sigmoidal function
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Multilayer feedforward networks are universal approximators
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Fundamentals of higher order neural networks for modeling and simulation
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Introduction to Measure Theory and Functional Analysis
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Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
Arrieta, A. B.; Díaz-Rodríguez, N.; Del Ser, J.; Bennetot, A.; Tabik, S.; Barbado, A.; García, S.; Gil-López, S.; Molina, D.; Benjamins, R.; et al. 2020 · 2020
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Relative attributing propagation: Interpreting the comparative contributions of individual units in deep neural networks
Nam, W.-J.; Gur, S.; Choi, J.; Wolf, L.; and Lee, S.-W. 2020 · 2020
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What is one grain of sand in the desert? analyzing individual neurons in deep nlp models
Dalvi, F.; Durrani, N.; Sajjad, H.; Belinkov, Y.; Bau, A.; and Glass, J. 2019a
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NeuroX: A toolkit for analyzing individual neurons in neural networks
Dalvi, F.; Nortonsmith, A.; Bau, A.; Belinkov, Y.; Sajjad, H.; Durrani, N.; and Glass, J. 2019b
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A survey on modern trainable activation functions
Apicella, A.; Donnarumma, F.; Isgrò, F.; and Prevete, R. 2021 · 2021
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