Finding Structure in Time Export

@article{citeulike:549113, abstract = {Time underlies many interesting human behaviors. Thus, the question of how to represent time in connectionist models is very important. One approach is to represent time implicitly by its effects on processing rather than explicitly (as in a spatial representation). The current report develops a proposal along these lines first described by Jordan (1986) which involves the use of recurrent links in order to provide networks with a dynamic memory. In this approach, hidden unit patterns are fed...}, author = {Elman, Jeffrey L.}, citeulike-article-id = {549113}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.9476}, journal = {Cognitive Science}, keywords = {language, mind, model-connectionist, modelling, network-neural, network-recurrent, pattern, time}, number = {2}, pages = {179--211}, posted-at = {2009-05-22 05:38:41}, priority = {0}, title = {Finding Structure in Time}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.9476}, volume = {14}, year = {1990} }

TY - JOUR ID - citeulike:549113 L3 - citeulike-article-id:549113 N2 - Time underlies many interesting human behaviors. Thus, the question of how to represent time in connectionist models is very important. One approach is to represent time implicitly by its effects on processing rather than explicitly (as in a spatial representation). The current report develops a proposal along these lines first described by Jordan (1986) which involves the use of recurrent links in order to provide networks with a dynamic memory. In this approach, hidden unit patterns are fed... IS - 2 JF - Cognitive Science EP - 211 TI - Finding Structure in Time VL - 14 SP - 179 KW - language KW - mind KW - model-connectionist KW - modelling KW - network-neural KW - network-recurrent KW - pattern KW - time AU - Elman, Jeffrey PY - 1990/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.9476 ER -