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cs.IT2016★ 6 cited
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks
Adam Charles, Dong Yin, Christopher Rozell
Recurrent neural networks (RNNs) have drawn interest from machine learning researchers because of their effectiveness at preserving past inputs for time-varying data processing tas…
cs.IT2013
Short Term Memory Capacity in Networks via the Restricted Isometry Property
Adam S. Charles, Han Lun Yap, Christopher J. Rozell
Cortical networks are hypothesized to rely on transient network activity to support short term memory (STM). In this paper we study the capacity of randomly connected recurrent lin…