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A neural field model of decision making in the posterior parietal cortex
BMC Neuroscience volume 12, Article number: P116 (2011)
The process of decision making often involves incomplete information about the outcome of the decision. In order to plan goal-directed reaching, it is necessary to combine sensory information about goal positions with information about the current behavioral context to select an appropriate action. A central role in this process is attributed to the posterior parietal cortex (PPC), which has been associated with value based selection of action and perceptual decision making. As an underlying mechanism, it has been proposed that the selection and specification of possible actions are not two distinct, sequential operations, but that instead the decision for an action emerges from the competition between different movement plans .
Here, we present a neural field model  to describe the dynamics of action selection in the PPC, developed in parallel with an electrophysiological study in monkeys . The task required rule-based spatial remapping of a motor goal, which was indicated by a spatial cue, depending on a contextual cue. The model can learn the context-dependent remapping task via an implemented Hebbian-style learning rule. It is trained from a pre-structured initial state (with default cue-response mapping behavior), using a training procedure that emulates the training procedure of the monkeys. The trained model developed activity patterns and neuronal tunings consistent with the empirical data. We then examined how actions are planned in the absence of an explicit rule, i.e. with no contextual cue. In this case the model showed a decision bias towards one goal (Fig. 1A) or an equal representation of both potential goals (Fig. 1B), depending on the input statistics during training. The model remained susceptible to later experience and changes of the reward schedule.
This matches the observations in monkeys performing the same task and it provides an account for the formation of action plans under ambiguous conditions. The field model provides an integrated account for the operations of sensorimotor transformations, working memory, and action selection required for decision making.
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Klaes, C., Schneegans, S., Schöner, G. et al. A neural field model of decision making in the posterior parietal cortex. BMC Neurosci 12, P116 (2011) doi:10.1186/1471-2202-12-S1-P116
- Training Procedure
- Action Selection
- Posterior Parietal Cortex
- Goal Position
- Behavioral Context