One-Dimensional Dynamics of Attention and Decision Making in LIP

@article{citeulike:2667697, abstract = {Summary Where we allocate our visual spatial attention depends upon a continual competition between internally generated goals and external distractions. Recently it was shown that single neurons in the macaque lateral intraparietal area (LIP) can predict the amount of time a distractor can shift the locus of spatial attention away from a goal. We propose that this remarkable dynamical correspondence between single neurons and attention can be explained by a network model in which generically high-dimensional firing-rate vectors rapidly decay to a single mode. We find direct experimental evidence for this model, not only in the original attentional task, but also in a very different task involving perceptual decision making. These results confirm a theoretical prediction that slowly varying activity patterns are proportional to spontaneous activity, pose constraints on models of persistent activity, and suggest a network mechanism for the emergence of robust behavioral timing from heterogeneous neuronal populations.}, author = {Ganguli, Surya and Bisley, James W. and Roitman, Jamie D. and Shadlen, Michael N. and Goldberg, Michael E. and Miller, Kenneth D. }, citeulike-article-id = {2667697}, doi = {10.1016/j.neuron.2008.01.038}, journal = {Neuron}, keywords = {arash, heather, kristina, modeling, nichola, shiva}, month = {April}, number = {1}, pages = {15--25}, posted-at = {2008-04-14 14:05:38}, priority = {2}, title = {One-Dimensional Dynamics of Attention and Decision Making in LIP}, url = {http://dx.doi.org/10.1016/j.neuron.2008.01.038}, volume = {58}, year = {2008} }

TY - JOUR ID - citeulike:2667697 L3 - citeulike-article-id:2667697 TI - One-Dimensional Dynamics of Attention and Decision Making in LIP JF - Neuron VL - 58 IS - 1 SP - 15 EP - 25 N2 - Summary Where we allocate our visual spatial attention depends upon a continual competition between internally generated goals and external distractions. Recently it was shown that single neurons in the macaque lateral intraparietal area (LIP) can predict the amount of time a distractor can shift the locus of spatial attention away from a goal. We propose that this remarkable dynamical correspondence between single neurons and attention can be explained by a network model in which generically high-dimensional firing-rate vectors rapidly decay to a single mode. We find direct experimental evidence for this model, not only in the original attentional task, but also in a very different task involving perceptual decision making. These results confirm a theoretical prediction that slowly varying activity patterns are proportional to spontaneous activity, pose constraints on models of persistent activity, and suggest a network mechanism for the emergence of robust behavioral timing from heterogeneous neuronal populations. KW - arash KW - heather KW - kristina KW - modeling KW - nichola KW - shiva AU - Ganguli, Surya AU - Bisley, James AU - Roitman, Jamie AU - Shadlen, Michael AU - Goldberg, Michael AU - Miller, Kenneth PY - 2008/04/10/ UR - http://dx.doi.org/10.1016/j.neuron.2008.01.038 ER -