Gabriel Mahuas

The paper shows VIP+ amacrine cells in the retina both inhibit and excite specific ganglion cells, coordinating their activity through gap junctions and GABAergic synapses.

The paper shows that strong noise correlations improve population coding in neural populations, contradicting the common belief that they should be negative.

The paper develops a small-correlation expansion to compute stimulus information in large neural populations, validated on synthetic data and applied to vertebrate retinal recordings.

This paper introduces a two-step inference strategy for training generalized linear models of noisy interacting neurons, showing improved performance and stability across complex stimuli.