All my circuits: using multiple electrodes to understand functioning neural networks. Export

@article{citeulike:3822293, abstract = {Much of the work in systems neuroscience thus far has focused on the brain's parts studied individually. The past 20 years has seen the advent, rise, and application of multiple-electrode technology. This allows the study of the activity of many neurons simultaneously, which in turn has provided insight into how different neuron populations interact and collaborate to produce thought and action.}, author = {Miller, E. K. and Wilson, M. A.}, citeulike-article-id = {3822293}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.neuron.2008.10.033}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/18995823}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=18995823}, day = {6}, doi = {10.1016/j.neuron.2008.10.033}, issn = {1097-4199}, journal = {Neuron}, keywords = {brain-anatomy, eeg-components, networks, neuro-connectivity, systems-biology}, month = {November}, number = {3}, pages = {483--488}, posted-at = {2008-12-23 18:14:23}, priority = {2}, title = {All my circuits: using multiple electrodes to understand functioning neural networks.}, url = {http://dx.doi.org/10.1016/j.neuron.2008.10.033}, volume = {60}, year = {2008} }

TY - JOUR ID - citeulike:3822293 L3 - citeulike-article-id:3822293 N2 - Much of the work in systems neuroscience thus far has focused on the brain's parts studied individually. The past 20 years has seen the advent, rise, and application of multiple-electrode technology. This allows the study of the activity of many neurons simultaneously, which in turn has provided insight into how different neuron populations interact and collaborate to produce thought and action. IS - 3 JF - Neuron SN - 1097-4199 EP - 488 TI - All my circuits: using multiple electrodes to understand functioning neural networks. VL - 60 SP - 483 KW - brain-anatomy KW - eeg-components KW - networks KW - neuro-connectivity KW - systems-biology AU - Miller, EK AU - Wilson, MA PY - 2008/11/06/ UR - http://dx.doi.org/10.1016/j.neuron.2008.10.033 ER -