Classification of Spatiotemporal Patterns with Applications to Recognition of Sonar Sequences

Many tasks performed by humans and animals involve decision-making and behavioral responses to spatiotemporally patterned stimuli. Thus the recognition 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).

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