Transfer between long-term and short-term memory using Conceptors

• URL: http://arxiv.org/abs/2003.11640v1
• Date: Wed, 11 Mar 2020 09:13:58 GMT
• Title: Transfer between long-term and short-term memory using Conceptors
• Authors: Anthony Strock (Mnemosyne, LaBRI, IMN), Nicolas Rougier (Mnemosyne, LaBRI, IMN), Xavier Hinaut (Mnemosyne, LaBRI, IMN)
• Abstract summary: We introduce a recurrent neural network model of working memory combining short-term and long-term components. We show how standard operations on conceptors allow to combine long-term memories and describe their effect on short-term memory.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We introduce a recurrent neural network model of working memory combining short-term and long-term components. e short-term component is modelled using a gated reservoir model that is trained to hold a value from an input stream when a gate signal is on. e long-term component is modelled using conceptors in order to store inner temporal patterns (that corresponds to values). We combine these two components to obtain a model where information can go from long-term memory to short-term memory and vice-versa and we show how standard operations on conceptors allow to combine long-term memories and describe their effect on short-term memory.

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