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Neuron
Known as:
Neuron (disambiguation)
Neuron is a simulation environment for modeling individual neurons and networks of neurons. As of version 7.3, Neuron is capable of handling…
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Related topics
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15 relations
Action potential
Amira
Blue Brain Project
Brian
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Broader (1)
Computational neuroscience
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
A review for dynamics in neuron and neuronal network
Jun Ma
,
Jun Tang
Nonlinear dynamics
2017
Corpus ID: 67718894
The biological Hodgkin–Huxley model and its simplified versions have confirmed its effectiveness for recognizing and…
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Highly Cited
2016
Highly Cited
2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
,
Chengkai Zhang
,
Tianfan Xue
,
Bill Freeman
,
J. Tenenbaum
Neural Information Processing Systems
2016
Corpus ID: 3248075
We study the problem of 3D object generation. We propose a novel framework, namely 3D Generative Adversarial Network (3D-GAN…
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Highly Cited
2016
Highly Cited
2016
Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures
Hengyuan Hu
,
Rui Peng
,
Yu-Wing Tai
,
Chi-Keung Tang
arXiv.org
2016
Corpus ID: 2493219
State-of-the-art neural networks are getting deeper and wider. While their performance increases with the increasing number of…
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Highly Cited
2015
Highly Cited
2015
TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip
Filipp Akopyan
,
J. Sawada
,
+15 authors
D. Modha
IEEE Transactions on Computer-Aided Design of…
2015
Corpus ID: 15373627
The new era of cognitive computing brings forth the grand challenge of developing systems capable of processing massive amounts…
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Highly Cited
2010
Highly Cited
2010
Why Does Unsupervised Pre-training Help Deep Learning?
D. Erhan
,
Aaron C. Courville
,
Yoshua Bengio
,
Pascal Vincent
International Conference on Artificial…
2010
Corpus ID: 15796526
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of…
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Highly Cited
2002
Highly Cited
2002
Spiking Neuron Models
W. Gerstner
,
W. K. Kistler
2002
Corpus ID: 61041510
Highly Cited
1990
Highly Cited
1990
Probabilistic neural networks
D. Specht
Neural Networks
1990
Corpus ID: 15189518
Highly Cited
1989
Highly Cited
1989
Connectionist Learning Procedures
Geoffrey E. Hinton
Artificial Intelligence
1989
Corpus ID: 7840452
Highly Cited
1976
Highly Cited
1976
From neuron to brain
J. Nicholls
1976
Corpus ID: 82307888
Introduction to the Fifth Edition PART I: INTRODUCTION TO THE NERVOUS SYSTEM Principles of Signaling and Organization Signaling…
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Highly Cited
1972
Highly Cited
1972
Characteristics of Random Nets of Analog Neuron-Like Elements
S. Amari
IEEE Transactions on Systems, Man and Cybernetics
1972
Corpus ID: 123487322
The dynamic behavior of randomly connected analog neuron-like elements that process pulse-frequency modulated signals is…
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