graph LR
Network["Network"]
Nodes["Nodes"]
Topology["Topology"]
Monitors["Monitors"]
Network -- "manages and updates" --> Nodes
Network -- "utilizes" --> Topology
Network -- "provides data to" --> Monitors
Monitors -- "collects data from" --> Nodes
The bindsnet SNN simulation subsystem is structured around four core components: Network, Nodes, Topology, and Monitors. The Network acts as the central orchestrator, managing the simulation's progression and coordinating interactions between the Nodes (individual neurons) and the Topology (synaptic connections). Nodes represent the computational units that process information and generate spikes, while Topology defines how these nodes are interconnected. Monitors are specialized components that observe and collect data from both the Network and Nodes to provide insights into the simulation's dynamic behavior, facilitating analysis and evaluation of the SNN.
The central orchestrator for SNN simulations. It manages the overall simulation flow, including spike propagation, neuron state updates, and time step advancement. This aligns with the "Simulation & Environment Interaction" pattern.
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Represents the fundamental computational units (neurons) within the SNN. These units process inputs, generate spikes, and update their internal states.
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Defines the structural connectivity (synapses) and their properties between Nodes within the SNN. It dictates how information flows and interacts across the network.
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Specialized components designed to observe and record the dynamic activity and state of the SNN throughout the simulation. This supports the "Analysis & Evaluation" pattern by providing insights into network behavior.
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