Papers:
Reinforcement Learning Neural Turing Machines http://arxiv.org/abs/1505.00521 Discussant: Nan Tian
End-To-End Memory Networks http://arxiv.org/abs/1503.08895 Discussant: Shubham Tulsiani
Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex ftp://128.138.223.234/pub/oreilly/papers/OReillyFrank04_pbwm.pdf Discussant: Dr. Phil Isola
Other related papers:
Memory Networks (http://arxiv.org/abs/1410.3916), Turing Machines (http://arxiv.org/pdf/1410.5401.pdf)
A Dynamic Neural Field Model of Visual Working Memory and Change Detection http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2782451/
Transferring Rich Feature Hierarchies for Robust Visual Tracking http://arxiv.org/pdf/1501.04587.pdf
http://arxiv.org/abs/1508.04843 Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Detection
http://link.springer.com/chapter/10.1007%2F3-540-45720-8_15 A neural network model of working memory
Conditional Random Fields as Recurrent Neural Networks http://www.robots.ox.ac.uk/~szheng/CRFasRNN.html
Organizer: Katerina