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In continuous attractor neural networks (CANNs), spatially continuousinformation such as orientation, head direction, and spatial location isrepresented by Gaussian-like tuning curves that can be displaced continuouslyin the space of the preferred stimuli of the neurons. We investigate howshort-term synaptic depression (STD) can reshape the intrinsic dynamics of theCANN model and its responses to a single static input. In particular, CANNswith STD can support various complex firing patterns and chaotic behaviors.These chaotic behaviors have the potential to encode various stimuli in theneuronal system.

A Rich Spectrum of Neural Field Dynamics in the Presence of Short-Term Synaptic Depression