Alymova E. V.

Investigation of efficiency of Liquid State Machine spiking neural networks in chaotic time series forecasting using software simulation methods

The subject of the study is the application of spiking neural networks of the Liquid State Machine (LSM) type to the problem of chaotic time series forecasting. The objective is to establish a theoretical and software foundation for modeling the LSM utilizing the BindsNET library, alongside performing a reproducible co...