%0 Journal Article %1 BBS:8918812 %A Rasmussen, Daniel %A Eliasmith, Chris %D 2013 %J Behavioral and Brain Sciences %K cognition cognitive neuroscience predictivecoding %N 03 %P 223--224 %R 10.1017/S0140525X12002154 %T God, the devil, and the details: Fleshing out the predictive processing framework %U http://journals.cambridge.org/article_S0140525X12002154 %V 36 %X ABSTRACT The predictive processing framework lacks many of the architectural and implementational details needed to fully investigate or evaluate the ideas it presents. One way to begin to fill in these details is by turning to standard control-theoretic descriptions of these types of systems (e.g., Kalman filters), and by building complex, unified computational models in biologically realistic neural simulations. God is in the details — Mies van der Rohe The devil is in the details — Anonymous

@article{BBS:8918812, abstract = { ABSTRACT The predictive processing framework lacks many of the architectural and implementational details needed to fully investigate or evaluate the ideas it presents. One way to begin to fill in these details is by turning to standard control-theoretic descriptions of these types of systems (e.g., Kalman filters), and by building complex, unified computational models in biologically realistic neural simulations. God is in the details — Mies van der Rohe The devil is in the details — Anonymous }, added-at = {2013-06-14T13:03:44.000+0200}, author = {Rasmussen, Daniel and Eliasmith, Chris}, biburl = {https://www.bibsonomy.org/bibtex/2a2c48724d5648f3f3d4f413281a8b496/yish}, doi = {10.1017/S0140525X12002154}, interhash = {d35736bdc55ff45094f9d4646c0a61f8}, intrahash = {a2c48724d5648f3f3d4f413281a8b496}, issn = {1469-1825}, journal = {Behavioral and Brain Sciences}, keywords = {cognition cognitive neuroscience predictivecoding}, month = {5}, number = 03, numpages = {2}, pages = {223--224}, timestamp = {2013-06-14T13:05:30.000+0200}, title = {God, the devil, and the details: Fleshing out the predictive processing framework}, url = {http://journals.cambridge.org/article_S0140525X12002154}, volume = 36, year = 2013 }