We extracted the time course for each run separately, using MarsBaR. The psychological factor was a linear contrast; each trial was weighted based on the participant’s response: “6” responses were weighted 0, “5” = +2, “4” = +1, “3” = 0, “2” = −1, and “1” = −2. These weights were chosen based on the assumption that regions involved in graded strength-based perception should monotonically track confidence; that Idelalisib supplier is, the greater the evidence for difference, the greater the activation in that region should be. “6” responses were weighted 0 so that a linear trend could not be driven by increased activation on trials in which individuals

had access to specific details. As with the ROI analysis, both “same” and “different” trials were included because of an insufficient number of misses. The PPI term was obtained by multiplying the time course for each run and the psychological factor for that run. A GLM was then run with nine regressors for each run: the PPI term, the time course, the psychological factor, and the six motion regressors. The contrast of interest was a “1” weight for the PPI term and a “0” for all other covariates. This research was supported by grants MH59352 and MH083734. We would like to thank Maureen Ritchey, Iain Harlow,

Luke Jenkins, and the UC Davis Memory Group for helpful advice, and Maria BYL719 price Montchal and Wei-chun Wang for the hippocampal tracings. M.A., C.R., and A.P.Y. conceived and designed the experiments. M.A. performed the experiments and analyzed the data. M.A., C.R., and A.P.Y. wrote the paper. “
“(Neuron 78, 644–657; May 22, 2013) Figure 1C presented an incorrect image for

the tubulin control for the striatum data points. The corrected image is below and has also been corrected in the online version of the paper. Figure 1.  Temporal Control of NRG1 Expression in Forebrains of ctoNrg1 Mice “
“Selective formation of neuronal circuits is central to normal brain function. During development, most neuronal circuits initially develop an excess of synaptic connections that are then refined by activity-dependent rearrangements, including the elimination of unwarranted synapses. In the adult brain, ongoing structural Pravadoline plasticity is thought to underlie aspects of long-term memory formation, adjustment of functional circuits to novel experience, and recovery from brain injuries and disease. In comparison to plastic changes altering the strength of a synapse, structural plasticity provides a greater variability of synaptic connections and thus a large number of potential new circuits that may substantially increase memory storage capacity (Holtmaat and Svoboda, 2009). Exposure to an enriched environment (EE), where animals experience ample sensory, motor, and social stimuli, significantly improves learning and memory.