Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
PERPLEXUS: Pervasive Computing Framework for Modeling Complex Virtually-Unbounded Systems
AHS '07 Proceedings of the Second NASA/ESA Conference on Adaptive Hardware and Systems
The Perplexus bio-inspired reconfigurable circuit
AHS '07 Proceedings of the Second NASA/ESA Conference on Adaptive Hardware and Systems
Nonlinear dynamics emerging in large scale neural networks with ontogenetic and epigenetic processes
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Implementation of biologically plausible spiking neural networks models on the POEtic tissue
ICES'05 Proceedings of the 6th international conference on Evolvable Systems: from Biology to Hardware
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A scalable hardware platform made of custom reconfigurable devices endowed with bio-inspired ontogenetic and epigenetic features is configured to run an artificial neural network with developmental and evolvable capabilities. The hardware architecture allows internetwork communication and this study analyzes the simulated activity of two hierarchically organized spiking neural networks. The main features were an initial developmental phase characterized by cell death (apoptosis driven by excessive firing rate), followed by spike timing dependent synaptic plasticity in presence of background noise. The emergence of precise firing sequences formed by recurrent patterns of spike intervals above chance levels suggested the build-up of a connectivity, out of initially randomly connected networks, able to sustain temporal information processing. The relative frequency of precise firing sequences was higher in the downstream network and their dynamics suggested the emergence of an unsupervised hierarchical activity-driven connectivity.