Genes to Cognition is a neuroscience systems biology initiative.
Researchers in diverse fields, such as in neuroscience, systems biology and autonomous robotics, have been intrigued by the origin and mechanisms for biological robustness.
Cognition was measured using Brain Checkers software, Version 3.01 (Behavioural Neuroscience Systems LLC, Springfield MO) run on Palm Tungsten E2, (Palm Inc. Milpitas, CA).
Psychomotor vigilance testing was conducted using Brain Checkers software, Version 3.01 (Behavioral Neuroscience Systems LLC, Springfield, MO, USA) run on Palm Tungsten E2, (Palm Inc. Milpitas, CA, USA).
We use here a multi-disciplinary approach at the convergence of neuroscience, dynamical system theory and autonomous robotics, in order to propose an efficient action selection mechanism based on a new model of the basal ganglia.
We refer the reader to a review of the common ground of computational neuroscience with systems biology for a brief historical overview of the emergence of modern systems biology from pre-existing biological fields [ 2].
The artificial cognitive control architecture that we propose, based on the shared circuits model of socio-cognitive skills, seeks to overcome limitations from the perspectives of computer science, neuroscience and systems engineering.
Students have chosen diverse fields, including animal behavior, neuroscience, ecology, systems biology, epidemiology, biostatistics, plant biology, molecular and developmental biology, and environmental engineering.
We define the field of hybrid systems neuroscience as the reformulation of hybrid system models, analysis tools, and control schemes for neuronal systems.
The field, according to Desimone, is benefiting from scientific revolutions in genetics and genomics, molecular biology, brain imaging, computer modeling, and so-called "systems neuroscience," which focuses on how entire brain systems operate rather than looking at individual neurons, genes, and proteins.
