[1] |
Noah J. Apthorpe, Alexander J. Riordan, Rob E. Aguilar, Jan Homann, Yi Gu,
David W. Tank, and H. Sebastian Seung.
Automatic neuron detection in calcium imaging data using
convolutional networks.
CoRR, arXiv:1606.07372, 2016.
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[2] |
P. Földiák.
Forming sparse representations by local anti-hebbian learning.
Biological Cybernetics, 64:165--170, 1990.
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[3] |
Richard H. R. Hahnloser, Rahul Sarpeshkar, Misha A. Mahowald, Rodney J.
Douglas, and H. Sebastian Seung.
Digital selection and analogue amplification coexist in a
cortex-inspired silicon circuit.
Nature, 405:947--951, 2000.
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[4] |
Moritz Helmstaedter, Kevin L. Briggman, Srinivas C. Turaga, Viren Jain,
H. Sebastian Seung, and Winfried Denk.
Connectomic reconstruction of the inner plexiform layer in the mouse
retina.
Nature, 500:168--174, 2013.
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[5] |
Taro Kiritani, Ian R. Wickersham, H. Sebastian Seung, and Gordon M.G. Shepherd.
Hierarchical connectivity and connection-specific dynamics in the
corticospinal-corticostriatal microcircuit in mouse motor cortex (vol 32, pg
4992, 2012).
Journal of Neuroscience, 36(37):9755--9755, 2016.
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[6] |
Sebastian Seung and Jonathan Zung.
A correlation game for unsupervised learning yields computational
interpretations of hebbian excitation, anti-hebbian inhibition, and synapse
elimination.
CoRR, arXiv:1704.00646, 2017.
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[7] |
X. Xie and H. S. Seung.
Equivalence of backpropagation and contrastive Hebbian learning
in a layered network.
Neural Computation, 15(2):441--454, 2003.
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