Towards biologically plausible deep learning

Y Bengio, DH Lee, J Bornschein, Z Lin - arXiv preprint arXiv:1502.04156, 2015 - arxiv.org
Abstract: Neuroscientists have long criticised deep learning algorithms as incompatible with
current knowledge of neurobiology. We explore more biologically plausible versions of deep
representation learning, focusing here mostly on unsupervised learning but developing a ...

Towards Biologically Plausible Deep Learning

Y Bengio, DH Lee, J Bornschein… - arXiv preprint arXiv: …, 2015 - adsabs.harvard.edu
Abstract Neuroscientists have long criticised deep learning algorithms as incompatible with
current knowledge of neurobiology. We explore more biologically plausible versions of deep
representation learning, focusing here mostly on unsupervised learning but developing a ...

Towards Biologically Plausible Deep Learning

Y Bengio, DH Lee, J Bornschein, Z Lin - 2015 - courses.cs.ut.ee
Page 1. Towards Biologically Plausible Deep Learning Yoshua Bengio Dong-Hyun Lee Jorg
Bornschein Zhouhan Lin 14 Feb 2015 Article overview Computational Neuroscience Seminar @
University of Tartu Page 2. CURRENT ALGORITHMS ARE NOT BIOPLAUSIBLE? ...

[PDF][PDF] Towards Biologically Plausible Deep Learning

Y Bengio, DH Lee, J Bornschein, Z Lin - pdfs.semanticscholar.org
Abstract Neuroscientists have long criticised deep learning algorithms as incompatible with
current knowledge of neurobiology. We explore more biologically plausible versions of deep
representation learning, focusing here mostly on unsupervised learning but developing a ...

[PDF][PDF] Towards Biologically Plausible Deep Learning

Y Bengio, DH Lee, J Bornschein, Z Lin - researchgate.net
Abstract Neuroscientists have long criticised deep learning algorithms as incompatible with
current knowledge of neurobiology. We explore more biologically plausible versions of deep
representation learning, focusing here mostly on unsupervised learning but developing a ...

Towards Biologically Plausible Deep Learning

Y Bengio, DH Lee, J Bornschein, Z Lin - 2015 - mooc.ee
Page 1. Towards Biologically Plausible Deep Learning Yoshua Bengio Dong-Hyun Lee Jorg
Bornschein Zhouhan Lin 14 Feb 2015 Article overview Computational Neuroscience Seminar @
University of Tartu Page 2. CURRENT ALGORITHMS ARE NOT BIOPLAUSIBLE? ...

Towards Biologically Plausible Deep Learning

Y Bengio, DH Lee, J Bornschein… - arXiv preprint arXiv: …, 2015 - adsabs.harvard.edu
Abstract Neuroscientists have long criticised deep learning algorithms as incompatible with
current knowledge of neurobiology. We explore more biologically plausible versions of deep
representation learning, focusing here mostly on unsupervised learning but developing a ...