Mihai Alexandru Petrovici

This paper introduces a cortical microcircuit model that implements error backpropagation, showing its scalability and comparing it to other theories.

The paper shows that perceptual reliability reduces membrane potential variability in cortical neurons during task-relevant stimuli.

The paper investigates how uncertainty modulates prediction errors in cortical microcircuits and shows that layer 2/3 neurons represent uncertainty-modulated prediction errors through specific inhibitory mechanisms.

The paper introduces a neuronal least-action principle to model real-time learning in cortical circuits by minimizing voltage dynamics and error correction.

This paper presents alternative models for predictive olfactory learning in Drosophila, challenging traditional associative plasticity models and offering a framework to interpret DAN activity during learning.