68 citations · 121 across the 5 of their papers we have counts for
5 papers
Exploiting Multiple Timescales in Hierarchical Echo State Networks
Luca Manneschi, Matthew O. A. Ellis, Guido Gigante +3
Echo state networks (ESNs) are a powerful form of reservoir computing that only require training of linear output weights whilst the internal reservoir is formed of fixed randomly…
Mean Field Approach for Configuring Population Dynamics on a Biohybrid Neuromorphic System
Johannes Partzsch, Christian Mayr, Massimiliano Giulioni +6
Real-time coupling of cell cultures to neuromorphic circuits necessitates a neuromorphic network that replicates biological behaviour both on a per-neuron and on a population basis…
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…
Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems
Massimiliano Giulioni, Federico Corradi, Vittorio Dante +1
Neuromorphic chips embody computational principles operating in the nervous system, into microelectronic devices. In this domain it is important to identify computational primitive…
Network events on multiple space and time scales in cultured neural networks and in a stochastic rate model
Guido Gigante, Gustavo Deco, Shimon Marom +1
Cortical networks, in-vitro as well as in-vivo, can spontaneously generate a variety of collective dynamical events such as network spikes, UP and DOWN states, global oscillations,…