Penetrating parylene neural probe array for dense, in vivo, chronic recordings 

Discrete-synapse recurrent neural network for nonlinear system modeling and seismic signal classification 

Theoretical foundations and design methodologies for cyber-neural systems 

Bidirectional neural interfaces for neuroprosthetics 

Learning in dynamic synapse neural networks 

Recurrent neural networks with tunable activation functions to solve Sylvester equation 

Theory of memory-enhanced neural systems and image-assisted neural machine translation 

Development of micromachined technologies for neural interfaces 

Neural sequence models: Interpretation and augmentation 

Neural matrix factorization model combing auxiliary information for movie recommender system 

Sensory information processing by retinothalamic neural circuits 

Power-efficient biomimetic neural circuits 

Studies into vibration-signature-based methods for system identification, damage detection and health monitoring of civil infrastructures 

Differential verification of deep neural networks 

Structural and functional neural correlates of developmental dyspraxia in the mirror neuron system 

Next generation neural interfaces for neural modulation and prosthesis 

The electrochemical evaluation of Parylene-based electrodes for neural applications 

The use of dynamic synapse neural networks for speech processing tasks 

Object detection and digitization from aerial imagery using neural networks 

James L. Massey, KORREFERAT, "On the Uniform Approximation of Nonlinear Discrete-Time Fading-Memory Systems Using Neural Network Models," December 8, 1991. 

Neural spiketrain decoder formulation and performance analysis 

Learning to diagnose from electronic health records data 

Low-power, dual sampling-rate, shared-architecture ADC for implantable biomedical systems 

Tactile object localization: behavioral correlates, neural representations, and a deep learning hybrid model to classify touch 

High-resolution data acquisition with neural and dermal interfaces