Eugenio Piasini

Lifelong prion protein (PrP) loss in mice lowers excitatory synaptic proteins, makes network bursts in mature cortical cultures rarer and neuronal activity more correlated, and increases adult dimming-disk escapes.

This study identifies a striatal interneuron circuit that gates reinforcement by linking outcome processing to adaptive action selection through disinhibitory microcircuitry.

The paper investigates how network architecture influences representation timescales in a noisy, recurrent model of the ventral visual stream, showing that timescales are set by architecture rather than training.

This study investigates how humans balance model complexity and goodness-of-fit in decision-making, finding sublinear scaling of effective sample size rather than the normative linear scaling.

This paper shows that visually naive chicks prefer specific multipoint correlation patterns, similar to humans and rats, and that early visual experience can alter these preferences.

This study shows that task-irrelevant sounds compress rat visual perceptual space based on sound intensity, not temporal modulation frequency.

The paper investigates how uncertainty, relevance, and learning interact in auditory categorization by modeling human behavior with a Bayesian framework.

The paper shows that in the olfactory cortex, mechanosensory feedback decouples odor concentration representation from inhalation speed, ensuring sniff-invariant odor encoding.

The paper shows that dynamic contrast adaptation in auditory cortex predicts perception of sounds in noise.

The paper shows that learning temporally regular features improves auditory object discrimination compared to conventional methods.

This study shows humans prefer simpler explanations for uncertain data, aligning with formal model selection theories that penalize excessive flexibility.

The paper identifies distinct prefrontal circuits targeting anterior and posterior dorsal striatum subregions and characterizes their roles in action control during a choice task.

This study shows that rats' sensitivity to image statistics decreases from 2- to 4-point correlations, mirroring human findings and supporting efficient coding principles.

The paper shows that visual representations become more stable along rodent visual processing hierarchies, with intrinsic dynamics contributing to this stability.

This paper shows model-free and model-based learning strategies can be equally flexible and effective, challenging the assumption that model-based strategies are inherently more complex.

Open Source Brain provides a platform for visualizing, simulating, and collaboratively developing standardized neuronal and circuit models to improve model transparency and reproducibility.