NeuroConscious: A biologically inspired, modular artificial consciousness engine. It simulates autonomous agents interacting in dynamic virtual worlds with internal states, emotions, memory (episodic, semantic, procedural), goal hierarchies, and learning (DQN) systems. An extensible testbed for artificial life and cognitive modeling research.

A Deep Learning Safety System that analyzes raw EEG data from consumer-grade hardware (the $200 Muse Headband) to detect fatigue before subjective awareness. The system applies rigorous signal processing and a 1D-CNN to learn the brain's specific "fatigue fingerprint" directly from the raw time-series — no manual feature extraction required.

matlab and c/c++ code implementing code used on analysis for our research papers. DeepBrainTechnologies. By Isabel Delgado-Ruz(Delgado-Falker)

Master's thesis: Modelling the primary visual cortex with an RNN.