Mattia Chini

This study uses mouse forebrain organoids to show how variations in cellular composition influence the self-organization of neural circuits, revealing intrinsic principles of forebrain circuit assembly.

This study shows that structured firing sequences emerge in human and murine brain organoids and neonatal brain slices, suggesting innate rather than experience-dependent neural coding.

This paper introduces iSTTC, a method for accurately estimating intrinsic neural timescales from single-unit recordings, showing improved accuracy and robustness compared to existing methods.

This study shows that inhibition matures to promote hippocampal ripple emergence starting from postnatal day 10 in mice.

The paper investigates the distribution of neural activity in the developing mouse brain and finds that extreme distributions are preconfigured and not experience-dependent.

The paper shows that increased inhibition during development drives the decorrelation of neural activity in mice and humans, linking it to neurodevelopmental disorders.

This study examines how different anesthetics affect hippocampal network activity, spine dynamics, and memory consolidation in mice, finding distinct impacts on neural function and memory.

The paper shows that increasing prefrontal neuron activity in neonatal mice leads to cognitive deficits in adulthood due to altered network maturation and excitation-inhibition imbalance.

The paper uses machine learning to identify electrophysiological features predicting anesthetic depth in newborn mice and human neonates using EEG and intracranial recordings.

This study shows that intermediate/ventral hippocampal glutamatergic neurons drive prefrontal oscillations in neonatal mice through direct axonal projections and light stimulation.

The paper identifies pyramidal neurons in the prefrontal cortex as key elements causing abnormal circuit function in a mouse model of mental illness and shows that microglia inhibition rescues these deficits.