Germán Mato

The paper derives exact expressions for correlation statistics in nonlinear recurrent neural networks, including 1/N corrections, and validates results with numerical simulations.

The paper demonstrates chaotic synchronization in a mean-field model of two heterogeneous populations of pulse-coupled oscillators with adaptive coupling strength.

This paper investigates the relationship between spectral harmonicity and cross frequency couplings in nonlinear oscillators and neural models, showing that high harmonic content is not sufficient or necessary for interpreting CFC patterns.

The paper analyzes spectral harmonicity in ictal activity to distinguish between harmonic and non-harmonic phase-amplitude couplings in epilepsy patients, showing its relevance for identifying seizure onset zones.

This study shows that random connectivity in mouse V1 can produce orientation selectivity matching experimental data.