Shown for time lags around 0, denoted above each of the graphs. Correlations are shown for all animats in the easy task (black), for all animats in the hard task (blue) and for only perfect animats in the hard task (red). The lagging variable was Φ, meaning that for negative lags the correlations measure the relationship between Φ and future surprisal, and vice versa for positive lags. Note that trials where Φ = 0 throughout are excluded from this analysis.</p
<p>Each subplot represents a different lag, from left to right and from up to down the lag go since ...
© 2018, Springer-Verlag GmbH Austria, part of Springer Nature. Time-course correlation patterns can ...
<p>Each subplot represents a different lag, from left to right and from up to down the lag go since ...
<p>Percentage of connections that time-lags made more significant (more positive for positive connec...
Average fluctuations in Φ and surprisal on trial time split into trials with negative (purple, coef....
Change in fitness (A), Φ (B) and surprisal (C) over evolutionary time averaged across LODs sorted in...
Correlations between RTs for stimuli with constant and adaptive foreperiods in groups with easy and ...
<p>Correlation values for all 10-sec blocks, sorted and plotted from lowest (most negative) to highe...
<p>Redder colors indicate higher correlation differences along the x-axis with height indicating fre...
<p>Autocorrelation between generations of the proportion of individuals found on patches one and two...
<p>A and B show ACF and PACF of the training set. C and D show ACF and PACF of the training set afte...
Clusters are shown for all SoCal counties excluding LA and OR, and follow the arrays shown in Fig 8....
Correlation between (a) median time of delayed case detection and percentage of G2D and (b) mean tim...
<p>In the figure the mean correlation value and its standard deviation are shown for each considered...
Testing whether being a ‘timing’ participant in a magnitude comparison task (quantified by ωtime) is...
<p>Each subplot represents a different lag, from left to right and from up to down the lag go since ...
© 2018, Springer-Verlag GmbH Austria, part of Springer Nature. Time-course correlation patterns can ...
<p>Each subplot represents a different lag, from left to right and from up to down the lag go since ...
<p>Percentage of connections that time-lags made more significant (more positive for positive connec...
Average fluctuations in Φ and surprisal on trial time split into trials with negative (purple, coef....
Change in fitness (A), Φ (B) and surprisal (C) over evolutionary time averaged across LODs sorted in...
Correlations between RTs for stimuli with constant and adaptive foreperiods in groups with easy and ...
<p>Correlation values for all 10-sec blocks, sorted and plotted from lowest (most negative) to highe...
<p>Redder colors indicate higher correlation differences along the x-axis with height indicating fre...
<p>Autocorrelation between generations of the proportion of individuals found on patches one and two...
<p>A and B show ACF and PACF of the training set. C and D show ACF and PACF of the training set afte...
Clusters are shown for all SoCal counties excluding LA and OR, and follow the arrays shown in Fig 8....
Correlation between (a) median time of delayed case detection and percentage of G2D and (b) mean tim...
<p>In the figure the mean correlation value and its standard deviation are shown for each considered...
Testing whether being a ‘timing’ participant in a magnitude comparison task (quantified by ωtime) is...
<p>Each subplot represents a different lag, from left to right and from up to down the lag go since ...
© 2018, Springer-Verlag GmbH Austria, part of Springer Nature. Time-course correlation patterns can ...
<p>Each subplot represents a different lag, from left to right and from up to down the lag go since ...