2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/88279Measured responses from visual cortical neurons show that spike times tend to be correlated rather than exactly Poisson distributed. Fano factors vary and are usually greater than 1 due to the tendency of spikes being clustered into bursts. We show that this behavior emerges naturally in a balanced cortical network model with random connectivity and conductance-based synapses. We employ mean field theory with correctly colored noise to describe temporal correlations in the neuronal activity. Our results illuminate the connection between two independent experimental findings: high conductance states of cortical neurons in their natural environment, and variable non-Poissonian spike statistics with Fano factors greater than 1.7 pages, 3 figures, presented at CNS 2003, to be published in NeurocomputingNeurons and CognitionHigh conductance states in a mean field cortical network modeltext