connectivus
Connectivus is a theoretical framework used to describe how information and neural-like elements form dynamic, self-organizing networks that adapt to changing inputs. It emphasizes the continuous reconfiguration of connections and pathways as learning and adaptation occur, rather than fixed representations.
Etymology and scope: The term combines the sense of connection with a process-oriented suffix, and it has
Core concepts include dynamic topology, distributed processing, and time-varying connections that enable rapid reconfiguration of pathways
Mechanisms involve activity-dependent strengthening and weakening of links, Hebbian-like plasticity, and multi-scale feedback from local and
Applications span cognitive modeling, education technology, and adaptable artificial networks that adjust structure in response to
Evaluation and challenges: researchers seek metrics to capture network plasticity, coherence, and efficiency. Empirical validation remains
See also: connectivism, neural networks, graph theory, complex systems, adaptive systems.