Challenges in Multi-Area Cortex Modeling

This chapter explores the intricacies of integrating incomplete data into models of multi-area cortex, emphasizing the collaboration required among researchers for successful data synthesis. It highlights the challenges faced when simulating neural activity, including unrealistic firing rates and the need for physiological data to improve accuracy. Discussions include the dynamics of excitatory and inhibitory neurons, axonal tracing, and the importance of experimental data in correlating synaptic weights across brain regions.