Topics

A Power and Area Efficient CMOS Stochastic Neuron for Neural Networks Employing Resistive Crossbar Array.

08:00 EDT 4th October 2019 | BioPortfolio

Summary of "A Power and Area Efficient CMOS Stochastic Neuron for Neural Networks Employing Resistive Crossbar Array."

A power and area efficient CMOS stochastic neuron for resistive computing device-based neural networks is presented. The stochastic neuron performs both quantization and activation function simultaneously by using a single dynamic comparator and allows power-hungry analog to digital and digital to analog converters to be removed at the cost of the increased computation time. A network learning method utilizing a noisy sigmoid function is also presented to minimize the computation time with little accuracy degradation. A prototype neuron chip fabricated in 0.18μm CMOS process successfully demonstrates the neuron's performance and the learning method is verified through network simulations.

Affiliation

Journal Details

This article was published in the following journal.

Name: IEEE transactions on biomedical circuits and systems
ISSN: 1940-9990
Pages:

Links

DeepDyve research library

PubMed Articles [16679 Associated PubMed Articles listed on BioPortfolio]

MorphIC: A 65-nm 738k-Synapse/Formula: see text Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning.

Recent trends in the field of neural network accelerators investigate weight quantization as a means to increase the resource- and power-efficiency of hardware devices. As full on-chip weight storage ...

A Probabilistic Synapse With Strained MTJs for Spiking Neural Networks.

Spiking neural networks (SNNs) are of interest for applications for which conventional computing suffers from the nearly insurmountable memory-processor bottleneck. This paper presents a stochastic SN...

Stability of stochastic impulsive reaction-diffusion neural networks with S-type distributed delays and its application to image encryption.

In this paper, we study stochastic impulsive reaction-diffusion neural networks with S-type distributed delays, aiming to obtain the sufficient conditions for global exponential stability. First, an i...

Intermittent Discrete Observation Control for Synchronization of Stochastic Neural Networks.

In this paper, to investigate the exponential synchronization of stochastic neural networks, a new periodically intermittent discrete observation control (PIDOC) is first proposed. Different from the ...

Mean almost periodicity and moment exponential stability of semi-discrete random cellular neural networks with fuzzy operations.

By using the semi-discretization technique of differential equations, the discrete analogue of a kind of cellular neural networks with stochastic perturbations and fuzzy operations is formulated, whic...

Clinical Trials [4233 Associated Clinical Trials listed on BioPortfolio]

Early Discrimination of Periprosthetic Hip Infections Using Neural Networks (SEPTIC-ANNR)

The study is about the role of cellular neural networks-genetic algorithm in the diagnosis of periprosthetic hip infections. A retrospective case series of septic and aseptic loosening of ...

Stochastic Resonance Stimulation in Brain Plasticity and Post Stroke Motor Recovery

This study evaluates the effectiveness of stochastic resonance electric stimulation on neuromuscular control and proprioception in healthy and individuals with stroke.

Compensatory Brain Mechanisms for Amygdala-associated Cognitive Dysfunction: Potential Role of the Cortical Mirror Neuron System

Identify if the mirror neuron system, or other networks, can compensate for amygdala dysfunction, using behavior and structural/functional MRI.

Contributions From the Analysis of Graphs for Identification of Neural Cliques

The aim of the study is to demonstrate that our semantic knowledge (elements of our long-term memory and the process we use them) respond to a graphic organisation and gather together foll...

Computerized Intervention Targeting Cognitive Control Deficits in Depressed Adults

Project:EVO is a video-game based intervention that targets neural networks associated with cognitive control. The same networks have been implicated in poor treatment response in middle a...

Medical and Biotech [MESH] Definitions

A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.

Cell adhesion molecules that mediate neuron-neuron adhesion and neuron-astrocyte adhesion. They are expressed on neurons and Schwann cells, but not astrocytes and are involved in neuronal migration, neurite fasciculation, and outgrowth. Ng-CAM is immunologically and structurally distinct from NCAM.

Communications networks connecting various hardware devices together within or between buildings by means of a continuous cable or voice data telephone system.

An early embryonic developmental process of CHORDATES that is characterized by morphogenic movements of ECTODERM resulting in the formation of the NEURAL PLATE; the NEURAL CREST; and the NEURAL TUBE. Improper closure of the NEURAL GROOVE results in congenital NEURAL TUBE DEFECTS.

The synapse between a neuron (presynaptic) and an effector cell other than another neuron (postsynaptic). Neuroeffector junctions include synapses onto muscles and onto secretory cells.

Quick Search


DeepDyve research library

Relevant Topic

Diagnostics
A diagnostic test is any kind of medical test performed to aid in the diagnosis or detection of disease. For example: to diagnose diseases to measure the progress or recovery from disease to confirm that a person is free from disease Clin...


Searches Linking to this Article