Titlebook: Neural Representation of Temporal Patterns; Ellen Covey,Harold L. Hawkins,Robert F. Port Book 1995 Springer Science+Business Media New Yor

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摘要記錄

Overview: 978-1-4613-5785-8978-1-4615-1919-5

allergy

MENT

Classification of Spatiotemporal Patterns with Applications to Recognition of Sonar Sequencesn and processing of time-varying signals is fundamental to a wide range of cognitive processes. Classification of such signals is also basic to many engineering applications such as speech recognition, seismic event detection, sonar classification and real-time control (Lippmann, 1989; Maren, 1990).

visual-cortex

演繹

laceration

Exonerate

Mechanisms for Analysis of Auditory Temporal Patterns in the Brainstem of Echolocating Batsoidance. Examples of these behaviorally important sounds are communication signals of conspecifics, noises made by movements of other animals and highly specialized species-specific sounds such as the biosonar signals used by echolocating bats. Identification of many behaviorally important sounds, e

Senescent

An Oscillatory Correlation Theory of Temporal Pattern Segmentationry environment, it is necessary to disentangle the acoustic wave form and analyze each separate event. This process is referred to as ., or . (Bregman, 1990). Its task is to break down an auditory scene, or total acoustic input, into a number of coherent segments, each of which has a high probabilit

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Toward Simulated Audition in Open Environmentsment? What kind of cognitive mechanisms could extract this information? To address such global problems, we think it is essential to construct simulations of auditory processing, but to evaluate progress, real-world audition is difficult to deal with. To test the simulations, it is useful to develop