Morphogenesis refers to the process by which organisms develop their shape and structure through self-organizing mechanisms. In biology, this concept explains how complex forms arise from relatively simple rules and interactions at the cellular level, often without the need for a central controller. The idea of applying morphogenesis to robotics is a transformative approach that…
Spiking Neural Networks (SNNs) represent a significant leap forward in the development of neuromorphic computing, a paradigm that attempts to mimic the structure and function of the human brain. Unlike traditional artificial neural networks (ANNs), which process information in a continuous manner, SNNs process data in the form of discrete spikes, much like how neurons…
Predictive coding is a computational theory of brain function that has gained significant attention in neuroscience, artificial intelligence (AI), and robotics. It posits that the brain (and similarly, AI systems) continuously makes predictions about incoming sensory data and updates its models based on discrepancies, or prediction errors, between expected and actual inputs. This mechanism of…