27 citations · 63 across the 9 of their papers we have counts for
6 papers · 1 filter
Beyond spiking networks: the computational advantages of dendritic amplification and input segregation
Cristiano Capone, Cosimo Lupo, Paolo Muratore +1
The brain can efficiently learn a wide range of tasks, motivating the search for biologically inspired learning rules for improving current artificial intelligence technology. Most…
Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks
Paolo Muratore, Sina Tafazoli, Eugenio Piasini +2
Visual object recognition has been extensively studied in both neuroscience and computer vision. Recently, the most popular class of artificial systems for this task, deep convolut…
Burst-dependent plasticity and dendritic amplification support target-based learning and hierarchical imitation learning
Cristiano Capone, Cosimo Lupo, Paolo Muratore +1
The brain can learn to solve a wide range of tasks with high temporal and energetic efficiency. However, most biological models are composed of simple single compartment neurons an…
Error-based or target-based? A unifying framework for learning in recurrent spiking networks
Cristiano Capone, Paolo Muratore, Pier Stanislao Paolucci
Learning in biological or artificial networks means changing the laws governing the network dynamics in order to better behave in a specific situation. In the field of supervised l…
Target spiking patterns enable efficient and biologically plausible learning for complex temporal tasks
Paolo Muratore, Cristiano Capone, Pier Stanislao Paolucci
Recurrent spiking neural networks (RSNN) in the human brain learn to perform a wide range of perceptual, cognitive and motor tasks very efficiently in terms of energy consumption a…
Analysis and Model of Cortical Slow Waves Acquired with Optical Techniques
Marco Celotto, Chiara De Luca, Paolo Muratore +5
Slow waves (SWs) are spatio-temporal patterns of cortical activity that occur both during natural sleep and anesthesia and are preserved across species. Even though electrophysiolo…