Learning in dynamic synapse neural networks 

Multiscale spike-field network causality identification 

Algorithms and frameworks for generating neural network models addressing energy-efficiency, robustness, and privacy 

Dynamic neuronal encoding in neuromorphic circuits 

High-capacity feedback neural networks 

Physics informed neural networks and electrostrictive cavitation in water 

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

Dealing with unknown unknowns 

Learning invariant features in modulatory neural networks through conflict and ambiguity 

The use of dynamic synapse neural networks for speech processing tasks 

Power-efficient biomimetic neural circuits 

Deep convolutional neural networks for remote sensing investigation of looting of the archeological site of Al-Lisht, Egypt 

Memristor for parallel and analog data processing in the era of big data 

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

Biologically inspired approaches to computer vision 

Magnetic induction-based wireless body area network and its application toward human motion tracking 

Bidirectional neural interfaces for neuroprosthetics 

Circuit design with nano electronic devices for biomimetic neuromorphic systems 

Neural spiketrain decoder formulation and performance analysis 

Plasticity in CMOS neuromorphic circuits 

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

Deep learning for subsurface characterization and forecasting 

Nonlinear dynamical modeling of single neurons and its application to analysis of long-term potentiation (LTP) 

Development of micromachined technologies for neural interfaces 

Sensory information processing by retinothalamic neural circuits