The interplay of recurrent excitation and short-term plasticity enables nonlinear transient amplification, an ideal mechanism for selective amplification, pattern completion, and pattern separation in recurrent neural networks.
Jonathan Rodriguez, Abdon Iniguez ... Richard A Van Etten
A physiological mathematical model of chronic myeloid leukemia, validated by experiments in transgenic mice and clinical data, identifies mechanisms underlying the response to tyrosine kinase inhibitor therapy, predicts biomarkers of primary resistance, and suggests new strategies to improve treatment outcomes.
Feedback-driven gain modulation provides a mechanism to generate and maintain invariant sensory representations in the presence of contextual changes by dynamically adapting feedforward sensory processing.
Mathematical and experimental analyses suggest that despite their complex architectures, multiple metazoan signaling pathways act in physiological contexts as linear signal transmitters.
Prefrontal cortex plays a leading role in sequential decisions compared to posterior parietal cortex and relies on nonlinear integration of sensory and mnemonic information for decision formation.
Humans can rapidly build a new controller when learning continuous movement tasks and can flexibly integrate this process with adaptation of an existing controller.
Hannah L Payne, Jennifer L Raymond, Mark S Goldman
A comprehensive modeling approach reconciles experimental observations with classic plasticity mechanisms in the cerebellar cortex, demonstrating how learning-related changes in neural activity can appear to contradict the sign of the underlying plasticity when feedback is present.
A hydrodynamic model of fish swimming in a channel predicts a critical flow speed for fish to successfully swim against a flow, unveiling a passive mechanism for rheotaxis to emerge without access to any sensory information.
