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Learning with the Adaptive Time-Delay Neural Network
The Adaptive Time-delay Neural Network (AT N N), a paradigm for training a nonlinear neural network with adaptive time-delays, is described. Both time delays and connection weights are adapted on-line according to a gradient ...
A Learning Algorithm for Adaptive Time-Delays in a Temporal Neural Network
The time delay neural network (TDNN) is an effective tool for speech recognition and spatiotemporal classification. This network learns by example, adapts its weights according to gradient descent, and incorporates a time ...
Fast Gravity: An n-Squared Algorithm for Identification of Synchronous Neural Assemblies
The identification of synchronously active neural assemblies in simultaneous recordings of neuron activities is an important research issue and a difficult algorithmic problem. A gravitational analysis method was developed ...