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Connections that proceed from the sensory periphery to the higher-order areas of the brain that are implicated in more complex processing are known as ascending or feedforward projections.
Our prediction, then, is that decision optimization should follow a learning curve that is similar to weight modification in feedforward networks with Hebbian learning and prototype learning in recurrent networks
More generally, feedforward with respect to the environment (other performers, for example) implies some predictive model of action in the world.
feedforward correction capabilities
To achieve such a goal requires an understanding of the regulation of photosynthesis in the wider picture of the whole plant and its environment, taking into account feedforward and feedback controls of photosynthesis.
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