So many choices: what computational models reveal about decision-making mechanisms.
Is decision making in the brain (a) optimal, (b) stochastic, (c) probabilistic, or (d) all of the above? Two papers in this issue of Neuron by Beck et al. and Furman and Wang address these questions by constructing model neural circuits capable of picking one option given multiple perceptual choices.
Salinas
Emilio
E
Department of Neurobiology and Anatomy, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA. esalinas@wfubmc.edu
D000818:Animals; D001921:Brain / Q000166:cytology / Q000502:physiology; D003198:Computer Simulation; D003657:Decision Making / Q000502:physiology*; D006801:Humans; D008959:Models, Neurological; D009039:Motion Perception / Q000502:physiology; D009415:Nerve Net / Q000502:physiology; D016571:Neural Networks, Computer; D009474:Neurons / Q000145:classification / Q000502:physiology*