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1)Models of speech production have largely used connectionist architectures based on interactive activation networks, whereas models of word recognition have largely used feedforward networks trained with back-propagation

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1)Models of speech production have largely used connectionist architectures based on interactive activation networks, whereas models of word recognition have largely used feedforward networks trained with back-propagation. Can you think of any reason for this difference in emphasis?

2)Keep a record for a few days of what you talk about. How much is to do with the here-and-now?

3)When do people interrupt others? 3. When you talk, what do you look at? Why?