The perceptron: a probabilistic model for information storage and organization in the brain.

  title={The perceptron: a probabilistic model for information storage and organization in the brain.},
  author={Frank Rosenblatt},
  journal={Psychological review},
  volume={65 6},
  • F. Rosenblatt
  • Published 1 November 1958
  • Biology
  • Psychological review
The first of these questions is in the province of sensory physiology, and is the only one for which appreciable understanding has been achieved. This article will be concerned primarily with the second and third questions, which are still subject to a vast amount of speculation, and where the few relevant facts currently supplied by neurophysiology have not yet been integrated into an acceptable theory. With regard to the second question, two alternative positions have been maintained. The… 

Theories of associative recall

Most of the models developed beyond their initial hypotheses have a certain family resemblance, and it seems as if the authors may now be in possession of the basic ideas which will be needed for the understanding of one of the central problems of memory, namely the mechanism of associative recall.

From Cells to Memories: A Categorical Approach

This chapter can be seen as a continuation of the precedent one in which the relationship between pyramidal neurons acquires a categorical treatment. Here we extend this view to sketch a theory of


A model of the neural network named “Associatron” which operates like a human brain in some points is proposed and an Associatron with 180 neurons is simulated by a computer and is applied to simple examples of concept formation and game playing.

Information Processing Using a Model of Associative Memory

A model of a neural network named 'Association', and its applications for Information processing are considered, where some properties are derived that are expected to be useful for humanlike information processing.

Conditional control transfer mechanisms in the neocortex: 1. The basic model.

  • P. D. Scott
  • Psychology, Biology
    Journal of theoretical biology
  • 1979

Connectionism and Neural Networks

  • H. Barrow
  • Computer Science, Biology
    Artificial Intelligence
  • 1996

Cognitive architecture of perceptual organization: from neurons to gnosons

This pluralist approach starts from a representationally inspired model which implements the intertwined but functionally distinguishable subprocesses of feedforward feature encoding, horizontal feature binding, and recurrent feature selection, and employs a special form of processing, called transparallel processing, whose neural signature is proposed to be gamma-band synchronization in transient horizontal neural assemblies.

The Principles of Neural Networks

This chapter wants to give an overview over established ideas, algorithms and methods of neural computing over some simple examples of binary and analog network models in their structure and in their principles.



Probabilistic Logic and the Synthesis of Reliable Organisms from Unreliable Components

The paper that follows is based on notes taken by Dr. R. S. Pierce on five lectures given by the author at the California Institute of Technology in January 1952, and it is the author's conviction that error should be treated by thermodynamic methods, and be the subject of a thermodynamical theory.

Representation of Events in Nerve Nets and Finite Automata

This memorandum is devoted to an elementary exposition of the problems and of results obtained on the McCulloch-Pitts nerve net during investigations in August 1951.


Human nature in the light of psychopathology

The Sensory Order

Some Uneconomical Robots

The cell assembly: Mark II.

  • P. Milner
  • Computer Science, Medicine
    Psychological review
  • 1957