Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Balanced echo state networks
Echo state networks with filter neurons and a delay&sum readout
Equivalence of Equilibrium Propagation and Recurrent Backpropagation
Expressive power of recurrent neural networks
Targeting EEG/LFP Synchrony with Neural Nets
Structural and Parametric Evolution of Continuous-Time Recurrent Neural Networks
Adding Learning to the Cellular Development of Neural Networks: Evolution and the Baldwin Effect
Analyzing noise in autoencoders and deep networks
Fast decorrelated neural network ensembles with random weights
Deep Boltzmann machines
Learning Stochastic Feedforward Neural Networks
Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks
Electrical load forecasting using echo state network
Band-pass Reservoir Computing
Deep Boltzmann Machines and the Centering Trick
On the Universality of Invariant Networks
Aligning Artificial Neural Networks to the Brain yields Shallow Recurrent Architectures
Bifurcations of Recurrent Neural Networks in Gradient Descent Learning
An effective multivariate time series classification approach using echo state network and adaptive differential evolution algorithm
Spatio-Temporal Learning With the Online Finite and Infinite Echo-State Gaussian Processes
DNN-based residual echo suppression.
applying lstm to time series predictable through time - window approaches .
A study on crop yield forecasting using classification techniques
Subtitles in 360-degree Video
Performance analysis in football: A critical review and implications for future research
Algorithms for Large, Sparse Network Alignment Problems