Topic: ring attractors

A line or a ring attractor stores active memory of an analog quantity that outlasts a transient stimulus. Such continuous attractor states can be realized by a recurrent neural network, when the connection weights are finely tuned. However, a continuum of attractor states is vulnerable to parameter variations, therefore how it can be realized robustly remains a long-standing problem (Renart et al. 2003, Sagodi et al., 2024). In this work, we empirically characterize the properties that can enhance the robustness of ring attractors in spite of weight perturbations in neural networks. To do so,