3 results match your criteria: "Computational and Systems Neuroscience and Institute for Advanced Simulation (IAS-6)[Affiliation]"
J Neurosci
September 2019
Institute of Neuroscience and Medicine (INM-6), Computational and Systems Neuroscience and Institute for Advanced Simulation (IAS-6), Theoretical Neuroscience and JARA-Institut Brain Structure-Function Relationships (INM-10) 52428.
PLoS One
March 2016
Department of Psychiatry, University of California San Diego, La Jolla, California, United States of America; Psychiatry Service, VA San Diego Healthcare System, La Jolla, California, United States of America; Laureate Institute for Brain Research, 6655 S Yale Ave, Tulsa, Oklahoma, United States of America.
Objective: Approximately 10% of young adults report non-medical use of stimulants (cocaine, amphetamine, methylphenidate), which puts them at risk for the development of dependence. This fMRI study investigates whether subjects at early stages of stimulant use show altered decision making processing.
Methods: 158 occasional stimulants users (OSU) and 50 comparison subjects (CS) performed a "risky gains" decision making task during which they could select safe options (cash in 20 cents) or gamble them for double or nothing in two consecutive gambles (win or lose 40 or 80 cents, "risky decisions").
Front Comput Neurosci
November 2014
Computational Neuroscience, Department of Mathematical Sciences and Technology, Norwegian University of Life Sciences Ås, Norway ; Department of Physics, University of Oslo Oslo, Norway.
Random networks of integrate-and-fire neurons with strong current-based synapses can, unlike previously believed, assume stable states of sustained asynchronous and irregular firing, even without external random background or pacemaker neurons. We analyze the mechanisms underlying the emergence, lifetime and irregularity of such self-sustained activity states. We first demonstrate how the competition between the mean and the variance of the synaptic input leads to a non-monotonic firing-rate transfer in the network.
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