Extending a biologically inspired model of choice: multi-alternatives, nonlinearity and value-based multidimensional choice.

@article{citeulike:2841546, abstract = {The leaky competing accumulator (LCA) is a biologically inspired model of choice. It describes the processes of leaky accumulation and competition observed in neuronal populations during choice tasks and it accounts for reaction time distributions observed in psychophysical experiments. This paper discusses recent analyses and extensions of the LCA model. First, it reviews the dynamics and examines the conditions that make the model achieve optimal performance. Second, it shows that nonlinearities of the type present in biological neurons improve performance when the number of choice alternatives increases. Third, the model is extended to value-based choice, where it is shown that nonlinearities in the value function explain risk aversion in risky choice and preference reversals in choice between alternatives characterized across multiple dimensions.}, address = {Department of Computer Science, University of Bristol, Bristol BS8 1UB, UK. r.bogacz@bristol.ac.uk}, author = {Bogacz, R. and Usher, M. and Zhang, J. and McClelland, J. L. }, citeulike-article-id = {2841546}, doi = {http://dx.doi.org/10.1098/rstb.2007.2059}, issn = {0962-8436}, journal = {Philosophical transactions of the Royal Society of London. Series B, Biological sciences}, keywords = {accumulatormodel, computational\_model, decisionmaking, multiple\_alternative, nonlinear, review}, month = {September}, number = {1485}, pages = {1655--1670}, posted-at = {2008-07-01 19:51:25}, priority = {2}, title = {Extending a biologically inspired model of choice: multi-alternatives, nonlinearity and value-based multidimensional choice.}, url = {http://dx.doi.org/10.1098/rstb.2007.2059}, volume = {362}, year = {2007} }

TY - JOUR ID - citeulike:2841546 L3 - citeulike-article-id:2841546 TI - Extending a biologically inspired model of choice: multi-alternatives, nonlinearity and value-based multidimensional choice. JF - Philosophical transactions of the Royal Society of London. Series B, Biological sciences VL - 362 IS - 1485 SP - 1655 EP - 1670 AD - Department of Computer Science, University of Bristol, Bristol BS8 1UB, UK. r.bogacz@bristol.ac.uk SN - 0962-8436 N2 - The leaky competing accumulator (LCA) is a biologically inspired model of choice. It describes the processes of leaky accumulation and competition observed in neuronal populations during choice tasks and it accounts for reaction time distributions observed in psychophysical experiments. This paper discusses recent analyses and extensions of the LCA model. First, it reviews the dynamics and examines the conditions that make the model achieve optimal performance. Second, it shows that nonlinearities of the type present in biological neurons improve performance when the number of choice alternatives increases. Third, the model is extended to value-based choice, where it is shown that nonlinearities in the value function explain risk aversion in risky choice and preference reversals in choice between alternatives characterized across multiple dimensions. KW - accumulatormodel KW - computational_model KW - decisionmaking KW - multiple_alternative KW - nonlinear KW - review AU - Bogacz, R AU - Usher, M AU - Zhang, J AU - McClelland, JL PY - 2007/09/29/ UR - http://dx.doi.org/10.1098/rstb.2007.2059 ER -