Chapter 9. The Computational Bridge
p115b: "Going back to the underlying neurobiology discussed in chapters 4, 5 and 6, we recall that there are positive and negative synaptic connections between neurons. These biological synapses have differing strength depending on their size and the type and concentration of transmitting and receiving molecules. In connectionist models, modifiable connection weights model this varying strength of synaptic connections."
p.xv The preface links to this introduction to the technical tools used to model how various components of language and thought are realized in the brain. A fair amount of mechanism is required for Feldman's approach, which involves building computational models that actually exhibit the required behavior while remaining consistent with the findings from all disciplines.
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Chapter 9. The Computational Bridge
p115b: "Going back to the underlying neurobiology discussed in chapters 4, 5 and 6, we recall that there are positive and negative synaptic connections between neurons. These biological synapses have differing strength depending on their size and the type and concentration of transmitting and receiving molecules. In connectionist models, modifiable connection weights model this varying strength of synaptic connections."
p.xv The preface links to this introduction to the technical tools used to model how various components of language and thought are realized in the brain. A fair amount of mechanism is required for Feldman's approach, which involves building computational models that actually exhibit the required behavior while remaining consistent with the findings from all disciplines.
p.? this w/rt that
p.? that refers to this