libnervous

libnervous is a software library written in C that aims to provide a framework for creating and managing nervous systems for artificial agents. Its primary goal is to offer a modular and extensible approach to simulating biological neural networks and their associated computational processes. The library focuses on representing neurons, synapses, and network structures, allowing developers to build complex artificial brains.

The core components of libnervous typically include data structures for neurons, which can possess various properties such as activation functions, membrane potentials, and refractory periods. Synapses are modeled to facilitate communication between neurons, with parameters like synaptic strength and delay. The library often provides mechanisms for network topology definition, enabling the creation of both simple and intricate connections between neurons.

libnervous is designed to be flexible, allowing for the integration of different neural models and learning rules. This adaptability makes it suitable for a range of applications, including robotics, artificial intelligence research, and computational neuroscience. The library's design encourages experimentation with different network architectures and parameters to observe emergent behaviors. Developers can utilize libnervous to simulate the learning and adaptation processes observed in biological nervous systems, contributing to a deeper understanding of both artificial and natural intelligence.