Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks

Abstract

We shed light on the key ingredients of reservoir computing and analyze the contribution of the network dynamics to the spatial encoding of inputs. Therefore, we introduce attractor-based reservoir networks for processing of static patterns and compare their performance and encoding capabilities with a related feedforward approach. We show that the network… (More)
DOI: 10.1007/978-3-642-15822-3_19

6 Figures and Tables

Topics

  • Presentations referencing similar topics