5 papers
Modeling collective behaviors from optic flow and retinal cues
Diego Castro, Franck Ruffier, Christophe Eloy
Animal collective behavior is often modeled with self-propelled particles, assuming each individual has ``omniscient'' knowledge of its neighbors. Yet, neighbors may be hidden from…
Signal-based self-organization of a chain of UAVs for subterranean exploration
Pierre Laclau, Vladislav Tempez, Franck Ruffier +2
Miniature multi-rotors are promising robots for navigating subterranean networks, but maintaining a radio connection underground is challenging. In this paper, we introduce a distr…
Effect of top-down connections in Hierarchical Sparse Coding
Victor Boutin, Angelo Franciosini, Franck Ruffier +1
Hierarchical Sparse Coding (HSC) is a powerful model to efficiently represent multi-dimensional, structured data such as images. The simplest solution to solve this computationally…
Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system
Victor Boutin, Angelo Franciosini, Frederic Chavane +2
Both neurophysiological and psychophysical experiments have pointed out the crucial role of recurrent and feedback connections to process context-dependent information in the early…
From biological vision to unsupervised hierarchical sparse coding
Victor Boutin, Angelo Franciosini, Franck Ruffier +1
The formation of connections between neural cells is emerging essentially from an unsupervised learning process. For instance, during the development of the primary visual cortex o…