Do all neural models really look alike?

Author(s): Grossberg, S. |

Year: 1978

Citation: Psychological Review, 85, 592-596.

Abstract: Several of the formal approaches that are used to explain psychophysiologicalphenomena lead to different properties and principles of organization. Theseapproaches include computer, linear, and nonlinear models. The present noteillustrates this by citing differences between the linear theory of Anderson et al.and the nonlinear theory of Grossberg. For example, when linear signals arejoined to neural mechanisms, the resultant model is unstable and is unable toadapt or retune its sensitivity in response to changing input patterns. Nonlinearsignals overcome these difficulties and also compute reflectances, a Weber-Fechner law, and complex decision schemes that transform input patterns be-fore they are stored in short-term memory. The nonlinear theory also expressesorganizational principles that have been used to analyze a class of problems inperception, reinforcement, sensory-motor development, and goal-oriented cogni-tive behavior.

Topics: Mathematical Foundations of Neural Networks,

PDF download



Cross References


  1. Neural pattern discrimination
    Some possible neural mechanisms of pattern discrimination are discussed, leading to neural networks which can discriminate any number of essentially arbitrarily complicated space-time patterns and activate cells which can ... Article Details

  2. Adaptive pattern classification and universal recoding: I Parallel development and coding of neural feature detectors
    This paper analyses a model for the parallel development and adult coding of neural feature detectors. The model was introduced in Grossberg (1976). We show how experience can retune feature detectors to respond to a ... Article Details

  3. Adaptive pattern classification and universal recoding: II Feedback, expectation, olfaction, illusions
    Part I of this paper describes a model for the parallel development and adult coding of neural feature detectors. It shows how any set of arbitrary spatial patterns can be recoded, or transformed, into any other spatial ... Article Details

  4. Pattern formation, contrast control, and oscillations in the short-term memory of shunting on-center off-surround networks
    The transformation of spatial patterns and their storage in short term memory by shunting neural networks are studied herein. Various mechanisms are described for real-time regulation of the amount of contrast with which a ... Article Details

  5. Behavioral contrast in short-term memory: Serial binary memory models or parallel continuous memory models?
    This paper develops a model wherein STM primacy as well as recency effects can occur. The STM primacy effects can be used to generate correct immediate recall of short lists that have not been coded in LTM. The properties of ... Article Details


Back to Articles