Warren S. McCulloch’s research while affiliated with University of Illinois Chicago and other places

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Publications (3)


How we know universals: The perception of auditory and visual forms
  • Article

September 1947

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268 Reads

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593 Citations

Bulletin of Mathematical Biology

Walter Pitts

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Warren S. McCulloch

Two neural mechanisms are described which exhibit recognition of forms. Both are independent of small perturbations at synapses of excitation, threshold, and synchrony, and are referred to partiular appropriate regions of the nervous system, thus suggesting experimental verification. The first mechanism averages an apparition over a group, and in the treatment of this mechanism it is suggested that scansion plays a significant part. The second mechanism reduces an apparition to a standard selected from among its many legitimate presentations. The former mechanism is exemplified by the recognition of chords regardless of pitch and shapes regardless of size. The latter is exemplified here only in the reflexive mechanism translating apparitions to the fovea. Both are extensions to contemporaneous functions of the knowing of universals heretofore treated by the authors only with respect to sequence in time.


A Logical Calculus of the Idea Immanent in Nervous Activity

December 1943

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641 Reads

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12,659 Citations

Bulletin of Mathematical Biology

Because of the “all-or-none” character of nervous activity, neural events and the relations among them can be treated by means of propositional logic. It is found that the behavior of every net can be described in these terms, with the addition of more complicated logical means for nets containing circles; and that for any logical expression satisfying certain conditions, one can find a net behaving in the fashion it describes. It is shown that many particular choices among possible neurophysiological assumptions are equivalent, in the sense that for every net behaving under one assumption, there exists another net which behaves under the other and gives the same results, although perhaps not in the same time. Various applications of the calculus are discussed.


Citations (3)


... In recent years, neural networks are generally used in mechanical fault diagnosis and prognosis owing to its simple structure and intelligence. McCulloch's 1940s concept of a neural network opened up new research opportunities for these models based on different processing algorithms (Landahl et al. 1943). Multilayer perceptron's and backpropagation algorithm are used as the basis for building neural networks. ...

Reference:

Intelligent fault diagnostic system for rotating machinery based on IoT with cloud computing and artificial intelligence techniques: a review
A statistical consequence of the logical calculus of nervous nets
  • Citing Article
  • January 1943

Bulletin of Mathematical Biology

... Deep models can be seen as artificial neural networks involving deep structures. The idea of the artificial neural network can be traced back to the early 1940s [35]. Since then, several turning points and landmarks have been achieved, with the introduction of perceptron, backpropagation method, rectified linear unit, max-pooling, dropout, batch normalization, etc. ...

How we know universals: The perception of auditory and visual forms
  • Citing Article
  • September 1947

Bulletin of Mathematical Biology

... McCulloch and Pitts [15] and Rosenblatt [16] established the mathematical and conceptual foundations of ANNs, but these nonparametric models really took off in the late 1980s, when computers were powerful enough to allow people to program simulations of very complex situations observed in real life, generated by simple and easy-to-understand stochastic algorithms that nevertheless demanded intensive computing power. ANNs belong to this class of simulations since they are capable of modeling brain activity in classification and pattern recognition problems. ...

A Logical Calculus of the Idea Immanent in Nervous Activity
  • Citing Article
  • December 1943

Bulletin of Mathematical Biology