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05/02/2017
Redundancy in active paths of deep networks: a random active path model
Deep learning has become a powerful and popular tool for a variety of ma...
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04/23/2016
Memory and Information Processing in Recurrent Neural Networks
Recurrent neural networks (RNN) are simple dynamical systems whose compu...
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04/11/2015
Hierarchical Composition of Memristive Networks for Real-Time Computing
Advances in materials science have led to physical instantiations of sel...
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02/16/2015
Exploring Transfer Function Nonlinearity in Echo State Networks
Supralinear and sublinear pre-synaptic and dendritic integration is cons...
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02/03/2015
Product Reservoir Computing: Time-Series Computation with Multiplicative Neurons
Echo state networks (ESN), a type of reservoir computing (RC) architectu...
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09/01/2014
Towards a Calculus of Echo State Networks
Reservoir computing is a recent trend in neural networks which uses the ...
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01/10/2014
A Comparative Study of Reservoir Computing for Temporal Signal Processing
Reservoir computing (RC) is a novel approach to time series prediction u...
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06/25/2013
Learning, Generalization, and Functional Entropy in Random Automata Networks
It has been shown broeck90:physicalreview,patarnello87:europhys that fee...
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06/25/2013
DNA Reservoir Computing: A Novel Molecular Computing Approach
We propose a novel molecular computing approach based on reservoir compu...
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12/08/2012
Computational Capabilities of Random Automata Networks for Reservoir Computing
This paper underscores the conjecture that intrinsic computation is maxi...
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04/20/2011