<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Churchland, PS</style></author><author><style face="normal" font="default" size="100%">Sejnowski, TJ</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Blending computational and experimental neuroscience</style></title><secondary-title><style face="normal" font="default" size="100%">Nature Reviews Neuroscience</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://papers.cnl.salk.edu/PDFs/Blending computational and experimental neuroscience 2016-4489.pdf</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Abstract The launch of the United States&#039; BRAIN Initiative brings with it a new era in systems neuroscience that is being driven by innovative neurotechnologies, increases in computational power and network-style artificial intelligence. A new conceptual framework for understanding cognitive behaviours based on the dynamical patterns of activity in large populations of neurons is emerging.</style></abstract><notes><style face="normal" font="default" size="100%">Times cited: 4</style></notes></record></records></xml>