collaborators

5 papers

q-bio.NC2026

GENESIS: A Generative Model of Episodic-Semantic Interaction

Marco D'Alessandro, Leo D'Amato, Mikel Elkano +2

A central challenge in cognitive neuroscience is to explain how semantic and episodic memory, two major forms of declarative memory, typically associated with cortical and hippocam…

q-bio.NC2025

A Rate-Distortion Perspective on the Emergence of Number Sense in Unsupervised Generative Models

Leo D'Amato, Davide Nuzzi, Alberto Testolin +3

Number sense is a core cognitive ability supporting various adaptive behaviors and is foundational for mathematical learning. Here, we study its emergence in unsupervised generativ…

q-bio.NC2025

Structuring the Environment Nudges Participants Toward Hierarchical Over Shortest Path Planning

Valeria Simonelli, Davide Nuzzi, Gian Luca Lancia +1

Effective planning is crucial for navigating complex environments and achieving goals efficiently. In this study, we investigated how environmental structure influences the selecti…

q-bio.NC2025

Human foraging strategies flexibly adapt to resource distribution and time constraints

Valeria Simonelli, Davide Nuzzi, Gian Luca Lancia +1

Foraging is a crucial activity, yet the extent to which humans employ flexible versus rigid strategies remains unclear. This study investigates how individuals adapt their foraging…

q-bio.NC2025

The geometry of efficient codes: how rate-distortion trade-offs distort the latent representations of generative models

Leo D'Amato, Gian Luca Lancia, Giovanni Pezzulo

Living organisms rely on internal models of the world to act adaptively. These models, because of resource limitations, cannot encode every detail and hence need to compress inform…