Description: Phase space is a fundamental concept in physics and dynamical systems theory, used to represent all possible states of a system in a multidimensional space. Each dimension of phase space corresponds to a variable of the system, allowing for the visualization and analysis of the system’s behavior over time. A state is defined as a specific set of values of the variables that describe the system at a given moment. For example, in a mechanical system, the positions and velocities of particles can be represented in phase space. This approach is particularly relevant in various fields of study, including neuromorphic computing, where the aim is to emulate the functioning of the human brain. In this context, phase space can be used to model the complex interactions between neurons and synapses, facilitating the understanding of processes such as learning and memory. Representing in phase space allows researchers and developers to visualize how changes in initial conditions can affect the system’s behavior, which is crucial for designing algorithms and architectures that mimic the efficiency and adaptability of complex systems.
