Mila - Quebec Artificial Intelligence Institute

Computation-through-Dynamics Toolkit: Simulated datasets and quality metrics for dynamical models of neural activity

A primary goal of systems neuroscience is to discover how ensembles of neurons transform inputs into goal-directed behavior, a process known as neural computation. A powerful framework for understanding neural computation uses neural dynamics – the rules that govern how neural ac...

Paired neuronal-haemodynamic neurovascular coupling measures and cognitive performance in vascular pathology: protocol for a systematic review and meta-analysis

Abstract Background Neurovascular coupling (NVC) links neuronal activity to haemodynamic responses. Altered NVC may contribute to cognitive impairment in vascular pathology, but evidence is limited by inconsistent definitions and by the conflation of paired neuronal–haemodynamic...

Impact of dimensionality reduction on machine learning-based crop health prediction

Abstract Accurately predicting fungal disease dynamics poses a major challenge for data-driven sustainable agriculture. This study evaluates the impact of dimensionality reduction (DR) on the predictive performance of classical machine learning (ML) and deep learning (DL) models...

Configurational Approaches to Optimal Distinctiveness: Exploring Signal Sets and Originality for Entrepreneurship Legitimacy

For entrepreneurs, the legitimisation process in the early stages is crucial for acquiring essential resources and ensuring the viability and growth of their new ventures. Drawing on signalling theory and optimal distinctiveness literature, the article investigates the configurat...