Gabriel Mahuas

VIP+ amacrine cells synchronize neural activity in the retina

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.

Strong, but not weak, noise correlations are beneficial for population coding

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

A small-correlation expansion to quantify information in noisy sensory systems

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.

A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons

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.