Enhancements on the Modi ed Stochastic Synaptic Model: The Functional Heterogeneity

Development of a Petri Net Model for a Reconfigurable Intelligent System based on Experimental Data

Synaptic energy drives the information processing mechanisms in spiking neural networks

Cyfield-RISP: Generating Dynamic Instruction Set Processors for Reconfigurable Hardware Using OpenCL

Digital Detection and Analysis of Branching and Cell Contacts in Neural Cell Cultures

A Reinforcement Learning Framework for Spiking Networks with Dynamic Synapses

A Hypothetical Free Synaptic Energy Function and Related States of Synchrony

On the capacity of transient states of synchrony in liquid state machines

Synchrony State Generation: an Approach using Stochastic Synapses

A Hebbian-based reinforcement learning framework for spike-timing-dependent synapses

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