Spiking neural networks produce informational closure by stimulus avoidance

Abstract

The concept of Learning by Stimulus Avoidance (LSA) has been proposed in recent literature, and the methods of avoiding stimuli: action, prediction, and separation appear to align well with the formation of Bertschinger's informational closure. In this study, we provide experimental evidence demonstrating that spiking neural networks, which avoid stimuli, can indeed facilitate the emergence of informational closure. The established link between LSA and informational closure lays the foundation for further exploration of autopoietic relationships and the self-organization of closure within neural networks.

Keywords: Autonomy; Autopoiesis; Homeostasis; Informational closure; Spike-timing dependent plasticity; Spiking neural networks; Stimulus avoidance.