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Erschienen in:
Hardware Spiking Artificial Neurons, Their Response Function, and Noises Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Neuromemristive Systems: A Circuit Design Perspective

verfasst von : Cory Merkel, Dhireesha Kudithipudi

Erschienen in: Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices

Verlag: Springer India

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Abstract

Neuromemristive systems (NMSs) are brain inspired, adaptive computer architectures based on emerging resistive memory technology (memristors). NMSs adopt a mixed-signal design approach with closely coupled memory and processing, resulting in high area and energy efficiencies. Existing work suggests that NMSs could even supplant conventional architectures in niche application domains. However, given the infancy of the field, there are still a number open design questions, particularly in the area of circuit realization, that must be explored in order for the research to move forward. This chapter reviews a number of theoretical and practical concepts related to NMS circuit design, with particular focus on neuron, synapse, and plasticity circuits.

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Vorheriges Kapitel Synaptic Plasticity with Memristive Nanodevices
Nächstes Kapitel Memristor-Based Platforms: A Comparison Between Continous-Time and Discrete-Time Cellular Neural Networks
Fußnoten
1
For example, different neurons may have different dendritic arborizations, axon lengths, methods of encoding/decoding information, etc.
 
2
However, photoreceptors in our eyes and neurons in the peripheral nervous system have graded (nonspiking) responses to stimuli.
 
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Metadaten
Titel
Neuromemristive Systems: A Circuit Design Perspective
verfasst von
Cory Merkel
Dhireesha Kudithipudi
Copyright-Jahr
2017
Verlag
Springer India
Buch
Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices

Print ISBN: 978-81-322-3701-3

Electronic ISBN: 978-81-322-3703-7

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-81-322-3703-7_3

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