Biomedical subjects

Hannah M Bayer

Publications and source records attributed to Hannah M Bayer.

3 recordsLinked to original sources

PubMed2005

Midbrain dopamine neurons encode a quantitative reward prediction error signal.

The midbrain dopamine neurons are hypothesized to provide a physiological correlate of the reward prediction error signal required by current models of reinforcement learning. We examined the activity of single dopamine neurons during a task in which subjects learned by trial and error when to make an eye movement for a juice reward. We found that these neurons encoded the difference between the current reward and a weighted average of previous rewards, a reward prediction error, but only for outcomes that were better than expected. Thus, the firing rate of midbrain dopamine neurons is quantitatively predicted by theoretical descriptions of the reward prediction error signal used in reinforcement learning models for circumstances in which this signal has a positive value. We also found that the dopamine system continued to compute the reward prediction error even when the behavioral policy of the animal was only weakly influenced by this computation.

Algorithms↗

PubMed2005

Physiological utility theory and the neuroeconomics of choice.

Over the past half century economists have responded to the challenges of Allais [Econometrica (1953) 53], Ellsberg [Quart. J. Econ. (1961) 643] and others raised to neoclassicism either by bounding the reach of economic theory or by turning to descriptive approaches. While both of these strategies have been enormously fruitful, neither has provided a clear programmatic approach that aspires to a complete understanding of human decision making as did neoclassicism. There is, however, growing evidence that economists and neurobiologists are now beginning to reveal the physical mechanisms by which the human neuroarchitecture accomplishes decision making. Although in their infancy, these studies suggest both a single unified framework for understanding human decision making and a methodology for constraining the scope and structure of economic theory. Indeed, there is already evidence that these studies place mathematical constraints on existing economic models. This article reviews some of those constraints and suggests the outline of a neuroeconomic theory of decision.

Journal Article↗

PubMed2004

Eye position and memory saccade related responses in substantia nigra pars reticulata.

The substantia nigra pars reticulata (SNr), a major output nucleus of the basal ganglia, has been implicated anatomically, pharmacologically and physiologically in the generation of saccadic eye movements. However, the unique contribution of the SNr to saccade generation remains elusive. We studied the activity of SNr neurons while rhesus monkeys made saccades from different initial orbital positions, to determine what effects, if any, eye position had on SNr neuronal activity. We found that there was no effect of eye position on SNr neuronal responses. We also examined the responses of SNr neurons during memory-guided saccades to determine whether SNr discharges were affected by whether the target of the upcoming saccade was visible. We found that there was no change in response properties during memory saccade trials as compared to otherwise identical visually guided trials. SNr neurons appear to carry no information about either eye position or whether a movement is guided by a visible or remembered target. These results suggest that nigral signals are encoded in the same coordinate frame as those in the SC and FEF, but that unlike neuronal responses in these areas, SNr activity is not influenced by whether the saccade target remains visible until the movement is executed.

Action Potentials↗