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Yoshua Bengio | Walter Senn | Olexa Bilaniuk | Benjamin Scellier | João Sacramento | Yoshua Bengio | W. Senn | O. Bilaniuk | J. Sacramento | B. Scellier
[1] A. Destexhe,et al. The high-conductance state of neocortical neurons in vivo , 2003, Nature Reviews Neuroscience.
[2] Geoffrey E. Hinton,et al. Deep Boltzmann Machines , 2009, AISTATS.
[3] J J Hopfield,et al. Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.
[4] Pineda,et al. Generalization of back-propagation to recurrent neural networks. , 1987, Physical review letters.
[5] B. Widrow,et al. Generalization and information storage in network of adaline 'neurons' , 1962 .
[6] W. Gerstner,et al. Connectivity reflects coding: a model of voltage-based STDP with homeostasis , 2010, Nature Neuroscience.
[7] Dong-Hyun Lee. Backprop-Free Auto-Encoders , 2014 .
[8] W. Singer,et al. Different voltage-dependent thresholds for inducing long-term depression and long-term potentiation in slices of rat visual cortex , 1990, Nature.
[9] Geoffrey E. Hinton,et al. Learning Representations by Recirculation , 1987, NIPS.
[10] Luís B. Almeida,et al. A learning rule for asynchronous perceptrons with feedback in a combinatorial environment , 1990 .
[11] Yoshua Bengio,et al. Early Inference in Energy-Based Models Approximates Back-Propagation , 2015, ArXiv.
[12] Yoshua Bengio,et al. Difference Target Propagation , 2014, ECML/PKDD.
[13] Vivien A. Casagrande,et al. Biophysics of Computation: Information Processing in Single Neurons , 1999 .
[14] M. Larkum. A cellular mechanism for cortical associations: an organizing principle for the cerebral cortex , 2013, Trends in Neurosciences.
[15] P. J. Sjöström,et al. Rate, Timing, and Cooperativity Jointly Determine Cortical Synaptic Plasticity , 2001, Neuron.
[16] W. Newsome,et al. The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding , 1998, The Journal of Neuroscience.
[17] Xiaohui Xie,et al. Equivalence of Backpropagation and Contrastive Hebbian Learning in a Layered Network , 2003, Neural Computation.
[18] W. Senn,et al. Learning by the Dendritic Prediction of Somatic Spiking , 2014, Neuron.
[19] Yoshua Bengio,et al. Towards a Biologically Plausible Backprop , 2016, ArXiv.
[20] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[21] Judit K. Makara,et al. Compartmentalized dendritic plasticity and input feature storage in neurons , 2008, Nature.
[22] W. Senn,et al. Matching Recall and Storage in Sequence Learning with Spiking Neural Networks , 2013, The Journal of Neuroscience.
[23] H. Markram,et al. Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs , 1997, Science.
[24] Nello Cristianini,et al. Machine Learning and Knowledge Discovery in Databases (ECML PKDD) , 2010 .