Paper published in Frontiers in Neuromorphic Engineering
Neuromorphic Silicon Neuron Circuits paper, co-written by SCANDLE researcher, published by Frontiers
Giacomo Indiveri, Principal Investigator on the SCANDLE project, has co-authored a new paper that looks at the current range of circuit solutions used to implement silicon neurons.
Hardware implementations of spiking neurons can be extremely useful for a large variety of applications, ranging from high-speed modeling of large-scale neural systems to real-time behaving systems, to bidirectional brain–machine interfaces. The specific circuit solutions used to implement silicon neurons depend on the application requirements.
In this paper, they describe the most common building blocks and techniques used to implement these circuits, and present an overview of a wide range of neuromorphic silicon neurons, which implement different computational models, ranging from biophysically realistic and conductance-based Hodgkin–Huxley models to bi-dimensional generalized adaptive integrate and fire models.
The paper compares the different design methodologies used for each silicon neuron design described, and demonstrates their features with experimental results, measured from a wide range of fabricated VLSI chips.
The full text can be viewed on the Frontiers website.