Sophisticated decision-making mechanisms and complex experimental paradigms can be modeled, simulated, and fit to empirical response time data, using a flexible and efficient computational modeling framework.
Embryo-wide quantitative analysis of BMP signaling in zebrafish embryos, combined with a mathematical model-based computational screen, challenges the prevailing model of an antagonist counter-gradient shaping the gastrula BMP morphogen gradient and supports an antagonist sink with BMP diffusion mechanism.
Realistic reaction-diffusion signaling networks that include cell-autonomous factors can robustly form self-organizing spatial patterns for any combination of diffusion coefficients without requiring differential diffusivity.
The powerful computational operation of sequence recognition on behavioral timescales of approximately 1 s may emerge from synaptic activity-triggered build-up of biochemical waves in short 20 micron zones on dendrites.
Regulatory success operates by goal-consistent increases and decreases of distinct attribute representations in generic neural hubs and in domain-specific brain regions, explaining when and why regulatory success generalizes across domains and contexts.