CiteULike: di klouie Walton

Functional Specialization of the Primate Frontal Cortex during Decision Making

Daeyeol Lee — 2007-08-03T09:16:35-00:00

J. Neurosci., Vol. 27, No. 31. (1 August 2007), pp. 8170-8173.

Economic theories of decision making are based on the principle of utility maximization, and reinforcement-learning theory provides computational algorithms that can be used to estimate the overall reward expected from alternative choices. These formal models not only account for a large range of behavioral observations in human and animal decision makers, but also provide useful tools for investigating the neural basis of decision making. Nevertheless, in reality, decision makers must combine different types of information about the costs and benefits associated with each available option, such as the quality and quantity of expected reward and required work. In this article, we put forward the hypothesis that different subdivisions of the primate frontal cortex may be specialized to focus on different aspects of dynamic decision-making processes. In this hypothesis, the lateral prefrontal cortex is primarily involved in maintaining the state representation necessary to identify optimal actions in a given environment. In contrast, the orbitofrontal cortex and the anterior cingulate cortex might be primarily involved in encoding and updating the utilities associated with different sensory stimuli and alternative actions, respectively. These cortical areas are also likely to contribute to decision making in a social context. 10.1523/JNEUROSCI.1561-07.2007

Separate neural pathways process different decision costs

Peter Rudebeck — 2006-08-31T02:38:59-00:00

Nature Neuroscience, Vol. 9, No. 9. (20 August 2006), pp. 1161-1168.

How Visual Stimuli Activate Dopaminergic Neurons at Short Latency

Eleanor Dommett — 2005-03-04T17:32:54-00:00

Science, Vol. 307, No. 5714. (04 March 2005), pp. 1476-1479.

Unexpected, biologically salient stimuli elicit a short-latency, phasic response in midbrain dopaminergic (DA) neurons. Although this signal is important for reinforcement learning, the information it conveys to forebrain target structures remains uncertain. One way to decode the phasic DA signal would be to determine the perceptual properties of sensory inputs to DA neurons. After local disinhibition of the superior colliculus in anesthetized rats, DA neurons became visually responsive, whereas disinhibition of the visual cortex was ineffective. As the primary source of visual afferents, the limited processing capacities of the colliculus may constrain the visual information content of phasic DA responses.