Project Video
Watch the full project presentation and demo on YouTube.
Interactive Demo
Click brain regions to activate neural pathways. Watch synaptic signals propagate and observe EEG waveforms.
About This Project
This research project investigates the deep parallels between biological neural computation in the human brain and artificial neural network architectures. By studying how cortical regions process information through hierarchical feature extraction, temporal dynamics, and recurrent connectivity, we derive bio-inspired principles that improve AI model design and interpretability.
The interactive demo models key cortical regions -- visual cortex, motor cortex, prefrontal cortex, temporal lobe, and the limbic system -- with biologically plausible synaptic transmission dynamics. Clicking a region triggers cascading neural activity that propagates through connected pathways, while the EEG waveform display shows the resulting oscillatory patterns across delta, theta, alpha, beta, and gamma frequency bands.
Cortical Modeling
Biologically inspired simulation of cortical columns with excitatory and inhibitory neuron populations and lateral connectivity.
Synaptic Propagation
Signal transmission modeled with realistic synaptic delays, neurotransmitter dynamics, and spike-timing dependent plasticity.
EEG Analysis
Real-time oscillatory pattern visualization across canonical frequency bands from delta (1-4 Hz) to gamma (30-100 Hz).
Bio-Inspired AI
Translating neuroscience principles into novel neural network architectures with attention, memory, and predictive coding.