• DOI:10.1109/JPROC.2014.2313565
Corpus ID: 17176371

Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations

@article{Benjamin2014NeurogridAM,
  title={Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations},
  author={B. Benjamin and P. Gao and E. McQuinn and Swadesh Choudhary and A. Chandrasekaran and J. Bussat and Rodrigo Alvarez-Icaza and J. Arthur and P. Merolla and K. Boahen},
  journal={Proceedings of the IEEE},
  year={2014},
  volume={102},
  pages={699-716}
}

• B. Benjamin, P. Gao, +7 authors K. Boahen
• Published 2014
• Computer Science
• Proceedings of the IEEE

In this paper, we describe the design of Neurogrid, a neuromorphic system for simulating large-scale neural models in real time. Neuromorphic systems realize the function of biological neural systems by emulating their structure. Designers of such systems face three major design choices: 1) whether to emulate the four neural elements-axonal arbor, synapse, dendritic tree, and soma-with dedicated or shared electronic circuits; 2) whether to implement these electronic circuits in an analog or… Expand

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