activity
20182020
collaborators

7 papers

q-bio.NC2020

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…

cs.NE2019

Scaling of a large-scale simulation of synchronous slow-wave and asynchronous awake-like activity of a cortical model with long-range interconnections

Elena Pastorelli, Cristiano Capone, Francesco Simula +4

Cortical synapse organization supports a range of dynamic states on multiple spatial and temporal scales, from synchronous slow wave activity (SWA), characteristic of deep sleep or…

cs.DC2018

Real-time cortical simulations: energy and interconnect scaling on distributed systems

Francesco Simula, Elena Pastorelli, Pier Stanislao Paolucci +11

We profile the impact of computation and inter-processor communication on the energy consumption and on the scaling of cortical simulations approaching the real-time regime on dist…

q-bio.NC2018

Sleep-like slow oscillations improve visual classification through synaptic homeostasis and memory association in a thalamo-cortical model

Cristiano Capone, Elena Pastorelli, Bruno Golosio +1

The occurrence of sleep passed through the evolutionary sieve and is widespread in animal species. Sleep is known to be beneficial to cognitive and mnemonic tasks, while chronic sl…

q-bio.NC2018

Cholinergic switch between two types of slow waves in cerebral cortex

Trang-Anh E. Nghiem, Núria Tort-Colet, Tomasz Górski +8

Sleep slow waves are known to participate in memory consolidation, yet slow waves occurring under anesthesia present no positive effects on memory. Here, we shed light onto this pa…

q-bio.NC2018

State equation from the spectral structure of human brain activity

Trang-Anh Nghiem, Jean-Marc Lina, Matteo di Volo +4

Neural electromagnetic (EM) signals recorded non-invasively from individual human subjects vary in complexity and magnitude. Nonetheless, variation in neural activity has been diff…