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- Data for: A proteomic signature for CNS adaptations to the valence of environmental stimulation Proteomics raw data for both the hippocampus and frontro-ventral areas.
- Data for: Adapting the novel-object recognition task to quantify how much attention rodents allocate to motivationally-salient objectsExploration times in experiments 1-7
- Data for: Dynamic task observation: A gaze-mediated complement to traditional action observation treatment?Dataset includes demographic information, MEP and eye tracking data as well as subjective reports of engagement in motor imagery of the viewed actions
- Data for: A Time-Based Intervention to Treat Impulsivity in Male and Female RatsData files associated with Experiments 1 and 2 from "A Time-Based Intervention to Treat Impulsivity in Male and Female Rats"
- Data for: Design and development of a robotic predator as a stimulus in conditioned place aversion for the study of the effect of ethanol and citalopram in zebrafishSupplementary data for "Design and development of a robotic predator as a stimulus in conditioned place aversion for the study of the effect of ethanol and citalopram in zebrafish" by Clement et al.
- Data for: Exacerbation of the credit assignment problem in rats with lesions of the medial prefrontal cortex is revealed by Bayesian analysis of behavior in the pre-solution period of learningAn excel spreadsheet of trial by trial behavioural data from 68 rats performing an ID/ED attentional set-shifting task. The file contains columns to specify rat ID; stage of task; which stimuli (i.e., a pair of bowls containing scented digging media) were presented in which location; which location/stimulus the rat chose; whether it sampled both bowls before digging in one. The likelihoods associated with each of the potential 'hypotheses' are shown: If the rat sampled only one of the bowls, spatial hypotheses are given higher weight than if it sampled both. Posterior probabilities are calculated by multiplying the prior (which is the posterior probability from the previous trial) by the likelihood. The posterior probabilities are then normalised (i.e., divided by the sum of all posterior probabilities) to give a 'b-value'. The final columns gives an example of how the b-values can be calculated in Excel, although they were actually calculated using Matlab.
- Data for: Prenatal Immune Activation Induces Age-related Alterations in Rat Offspring: Effects upon NMDA Receptors and BehaviorsI promise that all datas are authentic and reliable.
- Data for: Voluntary exercise enables stress resistance in femalesData set for Tanner et al. Behavioral Brain Research
- Data for: Diagnostic Utility of Gut α-Synuclein in Parkinson’s Disease: A Systematic Review and Meta-AnalysisFig1:Flow chart for the systematic literature search. Fig2. Forest plot demonstrating the association between gut α-synuclein and PD(CI, confidence interval; PD, Parkinson’s disease; OR, odds ratio). Fig3. Forest plot in subgroup analysis demonstrating the association between gut α-synuclein and PD(a: subgroup analyzes by IHC sites; b: subgroup analyzes by antibody species). Fig4. SROC curve(a: sites:colon and stomach; b:antibody: α-synuclein and phosphorylated α-synuclein).
- Data for: More rapid reversal learning following overtraining in the rat is evidence that behavioural and cognitive flexibility are dissociable. Excel spreadsheet with raw data from the paper
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