Digital Implementation of a Spiking Convolutional Neural Network for Tumor Detection

Digital Implementation of a Spiking Convolutional Neural Network for Tumor Detection

Bibliographic Details
Main Authors:	A. Adineh-vand, G. Karimi, M. Khazaei
Format:	Article
Language:	English
Published:	MIDEM Society - Society for Microelectronics, Electronic Components and Materials 2020-01-01
Series:	Informacije MIDEM
Subjects:	brain tissue mri images spiking neural network digital implementation stdp
Online Access:	http://www.midem-drustvo.si/Journal%20papers/MIDEM_49(2020)4p193.pdf

Similar Items

SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron
by: Milad Mozafari, et al.
Published: (2019-07-01)

Area- and Energy-Efficient STDP Learning Algorithm for Spiking Neural Network SoC
by: Giseok Kim, et al.
Published: (2020-01-01)

Unsupervised Learning of Digit Recognition Using Spike-Timing-Dependent Plasticity
by: Peter U. Diehl, et al.
Published: (2015-08-01)

Memristive Spiking Neural Networks Trained with Unsupervised STDP
by: Errui Zhou, et al.
Published: (2018-12-01)

Classifying Melanoma Skin Lesions Using Convolutional Spiking Neural Networks With Unsupervised STDP Learning Rule
by: Qian Zhou, et al.
Published: (2020-01-01)

Spike-timing-dependent plasticity: a comprehensive overview
by: Henry eMarkram, et al.
Published: (2012-07-01)

Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP
by: Hongjian Fang, et al.
Published: (2021-02-01)

Learning and Prospective Recall of Noisy Spike Pattern Episodes
by: Karl eDockendorf, et al.
Published: (2013-06-01)

Reactive, Proactive, and Inductive Agents: An Evolutionary Path for Biological and Artificial Spiking Networks
by: Lana Sinapayen, et al.
Published: (2020-01-01)

Non-linear Memristive Synaptic Dynamics for Efficient Unsupervised Learning in Spiking Neural Networks
by: Stefano Brivio, et al.
Published: (2021-02-01)

A Curiosity-Based Learning Method for Spiking Neural Networks
by: Mengting Shi, et al.
Published: (2020-02-01)

Constructing an Associative Memory System Using Spiking Neural Network
by: Hu He, et al.
Published: (2019-07-01)

Corrigendum: A Curiosity-Based Learning Method for Spiking Neural Networks
by: Mengting Shi, et al.
Published: (2020-04-01)

NeuroFlow: A General Purpose Spiking Neural Network Simulation Platform using Customizable Processors
by: Kit eCheung, et al.
Published: (2016-01-01)

Spatial Memory in a Spiking Neural Network with Robot Embodiment
by: Sergey A. Lobov, et al.
Published: (2021-04-01)

Enhanced polychronisation in a spiking network with metaplasticity
by: Mira eGuise, et al.
Published: (2015-02-01)

Limits to high-speed simulations of spiking neural networks using general-purpose computers
by: Friedemann eZenke, et al.
Published: (2014-09-01)

Perception Understanding Action: Adding Understanding to the Perception Action Cycle With Spiking Segmentation
by: Paul Kirkland, et al.
Published: (2020-10-01)

An Imbalanced R-STDP Learning Rule in Spiking Neural Networks for Medical Image Classification
by: Qian Zhou, et al.
Published: (2020-01-01)

A Neuro-Inspired System for Online Learning and Recognition of Parallel Spike Trains, Based on Spike Latency, and Heterosynaptic STDP
by: Gianluca Susi, et al.
Published: (2018-10-01)

Associative learning of classical conditioning as an emergent property of spatially extended spiking neural circuits with synaptic plasticity
by: John ePalmer, et al.
Published: (2014-07-01)

Spike-timing computation properties of a feed-forward neural network model
by: Drew Benjamin Sinha, et al.
Published: (2014-01-01)

ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing
by: Gopalakrishnan Srinivasan, et al.
Published: (2019-03-01)

An efficient automated parameter tuning framework for spiking neural networks
by: Kristofor David Carlson, et al.
Published: (2014-02-01)

Towards Efficient Neuromorphic Hardware: Unsupervised Adaptive Neuron Pruning
by: Wenzhe Guo, et al.
Published: (2020-06-01)

A Heterogeneous Spiking Neural Network for Unsupervised Learning of Spatiotemporal Patterns
by: Xueyuan She, et al.
Published: (2021-01-01)

Spike Processing Circuit Design for Neuromorphic Computing
by: Zhao, Chenyuan
Published: (2019)

Event-Based Trajectory Prediction Using Spiking Neural Networks
by: Guillaume Debat, et al.
Published: (2021-05-01)

Using a Low-Power Spiking Continuous Time Neuron (SCTN) for Sound Signal Processing
by: Moshe Bensimon, et al.
Published: (2021-02-01)

Differential gating of dendritic spikes by compartmentalized inhibition
by: Katharina Anna Wilmes, et al.
Published: (2014-03-01)

Discovering associative long-term synaptic modification and timing dependence of plasticity—a very brief and personal history
by: William B Levy
Published: (2010-12-01)

Racing to Learn: Statistical Inference and Learning in a Single Spiking Neuron with Adaptive Kernels
by: Saeed eAfshar, et al.
Published: (2014-11-01)

Competitive Learning in a Spiking Neural Network: Towards an Intelligent Pattern Classifier
by: Sergey A. Lobov, et al.
Published: (2020-01-01)

Spike Pattern Structure Influences Synaptic Efficacy Variability Under STDP and Synaptic Homeostasis. II: Spike Shuffling Methods on LIF Networks
by: Zedong Bi, et al.
Published: (2016-08-01)

Spike Pattern Structure Influences Synaptic Efficacy Variability Under STDP and Synaptic Homeostasis. I: Spike Generating Models on Converging Motifs
by: Zedong eBi, et al.
Published: (2016-02-01)

Supervised Learning in SNN via Reward-Modulated Spike-Timing-Dependent Plasticity for a Target Reaching Vehicle
by: Zhenshan Bing, et al.
Published: (2019-05-01)

Structural Plasticity Denoises Responses and Improves Learning Speed
by: Robin Spiess, et al.
Published: (2016-09-01)

Unsupervised Learning on Resistive Memory Array Based Spiking Neural Networks
by: Yilong Guo, et al.
Published: (2019-08-01)

Changing the responses of cortical neurons from sub- to suprathreshold using single spikes in vivo
by: Verena Pawlak, et al.
Published: (2013-01-01)

Demonstrating Advantages of Neuromorphic Computation: A Pilot Study
by: Timo Wunderlich, et al.
Published: (2019-03-01)