Neural networks (computational neuroscience) is a computational model employed within the field of computational neuroscience to represent and investigate the information processing principles and dynamics of biological neural systems, particularly the brain. These models consist of interconnected computational units designed to simulate the functional properties and connectivity patterns of biological neurons and their synapses, providing a framework for analyzing, simulating, and understanding how biological networks perform tasks such as sensory processing, motor control, learning, memory, and cognition through neural computation.