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- Mean differences in reaction times to negative vs. neutral words for people
who are not depressed, naturally depressed, and induced depressed on
the lexical decision task
- Examples of feedback loops between affective and
semantic nodes in a semantic network as suggested by Ingram (1984)
- Reaction times for lexical decision task, 150ms condition
- Reaction times for valence identification task, 150ms condition
- Reaction times for lexical decision and valence
identification tasks, 50ms condition
- Reaction times for lexical decision and valence
identification tasks, 100ms condition
- Reaction times for lexical decision and valence
identification tasks, 150ms condition, as a function of BDI score
- Analog of a neuron used in computational neural network
models
- An example neural network model. Highlighted nodes are
``activated''.
- A neural network model for investigating affective
and semantic information processing
- Results of the simulated network's performance on
the lexical decision task
- Results of the simulated network's performance on
the valence identification task
- Hinton graphs of weights for a depressed and
nondepressed network
- The network's reaction times to stimuli on the
lexical decision task with all depressotypic stimuli included
- The network's reaction times when the
difficult-to-learn depressotypic stimuli are removed
- Histograms of the depressed and nondepressed
network's responses to a stimulus on which the depressed network is
overtrained.
- Activation of positive, negative, and neutral features for a
positive stimulus over time in a depressed network
- Exposing the ruminating network to a positive stimulus
Greg Siegle
1999-11-15