Attractor Properties of Spatiotemporal Memory in Effective Sequence Processing Task

Authors

Panov A. Kuderov P.

Annotation

In this paper, we propose a biologically plausible model of spatiotemporal memory with an attractor module and study its ability to efficiently encode sequences, extract and reuse repetitive patterns. The results of experiments on synthetic and textual data, as well as on data from DVS cameras demonstrate a qualitative improvement in the properties of the model when using the attractor module.

Reference link

Petr Kuderov, Evgenii Dzhivelikian, Aleksandr I. Panov. Attractor Properties of Spatiotemporal Memory in Effective Sequence Processing Task // XXV International Conference "Neuroinformatics-2023" (Moscow, MEPhI, 2023).