9 papers
Predictive Coding Light+: learning to predict visual sequences with spike timing-dependent plasticity and synaptic delays
Antony W. N'dri, Thomas Barbier, Céline Teulière +1
The ability to predict the future is of great value for biological and artificial cognitive systems alike. However, successfully predicting the future typically requires maintainin…
Temporal Slowness in Central Vision Drives Semantic Object Learning
Timothy Schaumlöffel, Arthur Aubret, Gemma Roig +1
Humans acquire semantic object representations from egocentric visual streams with minimal supervision, but the underlying mechanisms remain unclear. Importantly, the visual system…
Re-assessing the evidence for mental rotation abilities in children using computational models
Arthur Aubret, Jochen Triesch
There is strong and diverse evidence for mental rotation (MR) abilities in adults. However, current evidence for MR in children rests on just a few behavioral paradigms adapted fro…
SynapFlow: A Modular Framework Towards Large-Scale Analysis of Dendritic Spines
Pamela Osuna-Vargas, Altug Kamacioglu, Dominik F. Aschauer +5
Dendritic spines are key structural components of excitatory synapses in the brain. Given the size of dendritic spines provides a proxy for synaptic efficacy, their detection and t…
Simulated Cortical Magnification Supports Self-Supervised Object Learning
Zhengyang Yu, Arthur Aubret, Chen Yu +1
Recent self-supervised learning models simulate the development of semantic object representations by training on visual experience similar to that of toddlers. However, these mode…
MIMo grows! Simulating body and sensory development in a multimodal infant model
Francisco M. López, Miles Lenz, Marco G. Fedozzi +2
Infancy is characterized by rapid body growth and an explosive change of sensory and motor abilities. However, developmental robots and simulation platforms are typically designed…