New opportunities to build bio-inspired models for neurosensory integration arise from data-driven modeling methods.
The Fluorescent Ubiquitination-based Cell Cycle Indicator (FUCCI) enables real-time analysis of the cell cycle.
Mathematical models can direct the design of defective interfering particles as therapeutic antiviral agents for...
At LS18, Daniel Forger spoke about the math behind auditory processing, musical representation, and the neuroscience of performance.
David Prager compared the Markov chain model with the ARIMA time series approach to analyze drought in the U.S....
At LS18, Orit Peleg used a combination of experiments and simulations to model mechanical swarm stability in...
Paul Macklin used an agent-based modeling framework to explore the role of hypoxia in breast cancer propagation at LS18.
At LS18, William Holmes reconciles two existing decision-making hypotheses that were previously thought to be...
Subekshya Bidari examined collective decision-making in honeybees foraging in a dynamic environment at LS18.
At LS18, Katie Storey used a stochastic model of GBM response to standard treatment to investigate MGMT methylation in TMZ resistance.
Daniel Balagué Guardia presented a new agent-based model for the study of kinetic contagion in fearful crowds...