Enabling Model-Based Design for Real-Time Spike Detection

Intelligent control to suppress epileptic seizures in the Amygdala: in silico investigation using a network of Izhikevich neurons

Efficient Sleep–Wake Cycle Staging via Phase–Amplitude Coupling Pattern Classification

Guest Editorial. Interdisciplinary Approaches for Human Cognition: Expanding Perspectives on the Mind Enfoques interdisciplinarios para la cognición humana: expandiendo las perspectivas sobre la mente

In Silico Application of the Epsilon-Greedy Algorithm for Frequency Optimization of Electrical Neurostimulation for Hypersynchronous Disorders

Personalized strategies of neurostimulation: from static biomarkers to dynamic closed-loop assessment of neural function

Preface

SynchroLINNce: Toolbox for Neural Synchronization and Desynchronization Assessment in Epilepsy Animal Models SynchroLINNce: toolbox para la evaluación de la sincronización y desincronización neural en modelos animales de epilepsia

Design of an experimental setup for delivering intracortical microstimulation in vivo via Spiking Neural Network

Development of experimental setup for driven intracortical open-loop stimulation via Spiking Neural Network

Enabling Model-based Design for closed-loop applications in neuroengineering

On temporal scale-free non-periodic stimulation and its mechanisms as an infinite improbability drive of the brain’s functional connectogram

Profiling of phase-amplitude couplings across sleep for personalized neuroengineering systems

A Multiplatform Output Stage for the Development of Current-Fixed Electrical Stimulators Applied to Neural Electrophysiology

Data-Driven Network Dynamical Model of Rat Brains During Acute Ictogenesis