Geoffroy Delamare

This paper introduces two TEMPO voltage-sensing technologies to image high-frequency neural oscillations in behaving mammals, revealing new insights into excitatory-inhibitory dynamics and wave propagation.

The paper introduces a model showing that slow fluctuations in intrinsic excitability drive neural ensemble drift, which is necessary for decoding temporal information.

The paper applies a time-dependent maximum entropy model to retinal ganglion cell activity, showing it better captures collective behavior for stimuli with long-range spatial correlations than the standard pairwise Ising model.