The chapter "Communication in Neuronal Networks" by Simon B. Laughlin and Terrence J. Sejnowski explores the efficient and adaptive design principles that govern the structure and function of cortical networks in the brain. The authors highlight how the brain optimizes its design to minimize resource consumption and maximize computational efficiency, drawing parallels with electronic networks. They discuss the geometric and biophysical constraints that influence the wiring and packing of neurons, emphasizing the importance of reducing wiring costs and energy consumption. The chapter also delves into the global organization of the communication network, including the sparse connectivity of cortical areas and the role of energy in limiting signal traffic. Additionally, it examines the energy-efficient coding strategies used by the brain, such as miniaturization, noise management, and the distribution of signals to reduce redundancy. The authors conclude by discussing the dynamic reconfiguration of the cortical network through plasticity, which allows the brain to adapt to changing computational and communication needs.The chapter "Communication in Neuronal Networks" by Simon B. Laughlin and Terrence J. Sejnowski explores the efficient and adaptive design principles that govern the structure and function of cortical networks in the brain. The authors highlight how the brain optimizes its design to minimize resource consumption and maximize computational efficiency, drawing parallels with electronic networks. They discuss the geometric and biophysical constraints that influence the wiring and packing of neurons, emphasizing the importance of reducing wiring costs and energy consumption. The chapter also delves into the global organization of the communication network, including the sparse connectivity of cortical areas and the role of energy in limiting signal traffic. Additionally, it examines the energy-efficient coding strategies used by the brain, such as miniaturization, noise management, and the distribution of signals to reduce redundancy. The authors conclude by discussing the dynamic reconfiguration of the cortical network through plasticity, which allows the brain to adapt to changing computational and communication needs.