Stefano Sarao Manelli - Curriculum learning in humans and neural networks
Curriculum learning—the process of acquiring knowledge by mastering progressively harder tasks—is a fundamental yet poorly understood mechanism. While both humans and animals inherently rely on structured curricula to learn, artificial neural networks, despite being inspired by the brain, often fail to reap the same benefits. In this talk, I will compare learning paradigms in biological and artificial systems to explore their fundamental differences. Ultimately, I will offer insights into why modern neural networks struggle to leverage curriculum learning as effectively as their biological counterparts.

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P Medini - Cell type-specific inhibitory microcircuits function in sensory processing & plasticity

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Keith Smith: Statistical Complexity of Brain Networks

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Fabrizio Lombardi: Collective brain dynamics in a simple class of adaptive neural networks

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Iva Ilioska: Optimizing Connectome-Based Reservoir Computing

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Quantifying the bias towards simpler explanations in human decision-making by Eugenio Piasini

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Marta Tataryn - From Tissue Geometry to Recurrent Dynamics

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GNN Explanations that do not Explain and Hot to Find Them

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Questions for Theory in the New Age of Machine Learning

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R Hindriks - Algebraic invariants for detecting broken detailed balance in electrophy brain signals

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Why Aliens Would NEVER Invade Africa

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40Hz Binaural Gamma Waves - Ultra Deep Concentration

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How To Think SO CLEARLY People Assume You're A Genius

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What do tech pioneers think about the AI revolution? - The Engineers, BBC World Service

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How AI Cracked the Protein Folding Code and Won a Nobel Prize

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1. Introduction to Human Behavioral Biology

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The British State Hates Its Own People - Dr David Starkey

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Elon Musk is the world's first trillionaire. How scared should you be?

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1: Introduction to Neural Networks and Deep Learning; Training Deep NNs

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Inside the Mind of Anthropic CEO Dario Amodei | Full documentary | 4K
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