Eric C. Wong

The paper develops a mathematical model for velocity-selective arterial spin labeling (VSASL) to analyze key concepts and predict performance characteristics.

The paper connects neural population models to bioenergetic costs by analyzing ATP consumption in neural activity, finding that firing rates correlate with energy use.

The paper shows that distributed phase oscillatory excitation with STDP creates attractors in simulated spiking neurons, which can form associative networks.

This paper hypothesizes that example-based Hebbian learning can support human-level intelligence by enabling semantic, episodic, and procedural memory through observed behavior.