updating transferfunction ylim

susceptibility1.tex

@@ -450,7 +450,7 @@ Theoretical work on leaky integrate-and-fire and conductance-based models sugges
 
 \begin{figure*}[t]
   \includegraphics[width=\columnwidth]{nonlin_regime.pdf}
-  \caption{\label{fig:nonlin_regime} Nonlinear response of a model P-unit in response to increasing beat amplitudes in a three-fish or two-beat setting. The model used has the cell identifier 2013-01-08-aa (table~\ref{modelparams}). \figitem{A--D}. Top -- stimulus consisting of two beats. The beat frequencies are 30\,Hz (\bone{}) and 130\,Hz (\btwo{}). \btwo{} is equal to the baseline firing rate \fbase{}. The beat contrasts are equal in the respective example, and increase from \panel{A} to \panel{D}. Middle -- spike response of the model P-unit to the stimulus above. Bottom -- power spectrum of the firing rate of this P-unit. Nonlinear effects at \bsum{} (orange marker) and at \bdiff{} (red marker) increase for intermediate contrasts (\panel{B}), decrease for stronger contrasts (\panel{C}) and again increase for very strong contrasts (\panel{D}). \figitem{E} Amplitude of the linear (\bone{} and \btwo{}) and nonlinear (\bdiff{} and \bsum{}) responses of the model P-units plotted for increasing beat contrasts (contrasts equal for both beats). }
+  \caption{\label{fig:nonlin_regime} Nonlinear response of a model P-unit to increasing beat amplitudes in a three-fish or two-beat setting. The model used has the cell identifier 2013-01-08-aa (table~\ref{modelparams}). \figitem{A--D}. Top -- stimulus consisting of two beats, with different contrasts. The beat frequencies are 30\,Hz (\bone{}) and 130\,Hz (\btwo{}). \btwo{} is equal to the baseline firing rate \fbase{}. The contrasts of both beats are equal in a panel, and increase from \panel{A} to \panel{D}. Middle -- spike response of the model P-unit to the stimulus above. Bottom -- power spectrum of the firing rate of this P-unit model. Nonlinear effects at \bsum{} (orange marker) and at \bdiff{} (red marker) in the power spectrum of the P-unit firing rate increase for intermediate contrasts (\panel{B}), decrease for stronger contrasts (\panel{C}) and again increase for very strong contrasts (\panel{D}). \figitem{E} Amplitude of the linear (\bone{}, \btwo{}) and nonlinear (\bdiff{}, \bsum{}) responses of the model P-units plotted for increasing beat contrasts (contrasts increase equally for both beats). }
 \end{figure*}
 
 
@@ -463,7 +463,7 @@ When stimulating the fish with both frequencies, additional peaks appear in the
 The beat stimuli in the example were strong and partially revealed saturating nonlinearities of the P-units. For weakly nonlinear responses we need to use stimuli of much lower amplitudes. 
 
 
-The response of a P-unit to varying beat amplitudes has been estimated by leaky-integrate-and-fire (LIF) models, fitted to the baseline firing properties of electrophysiologically measured P-units. In the chosen P-units model nonlinear peaks (red and orange markers) appear for intermediate beat stimuli (\subfigrefb{fig:motivation}{B}), decreases for stronger stimuli (\subfigrefb{fig:motivation}{C}) and again emerges for very strong stimuli (\subfigrefb{fig:motivation}{D}). Thus two regimes of nonlinearity can be observed for intermediate and strong beat amplitudes (\subfigrefb{fig:motivation}{E}).
+The response of a P-unit to varying beat amplitudes can be modeled by a leaky-integrate-and-fire (LIF) model, fitted to the baseline firing properties an electrophysiologically measured P-unit. In the chosen P-unit model nonlinear peaks (orange marker) appear for intermediate beat contrasts (\subfigrefb{fig:motivation}{B}), decrease for stronger contrasts (\subfigrefb{fig:motivation}{C}) and again emerges for very strong beat contrasts (\subfigrefb{fig:motivation}{D}). Thus two regimes of nonlinearity can be observed for intermediate and strong beat amplitudes (\subfigrefb{fig:motivation}{E}).
 
 For this example, we have chosen two specific stimulus (beat) frequencies. For a full characterization of the nonlinear responses, we need to measure the response of the P-units to many different combinations of stimulus frequencies. 
 

susceptibility1.tex.bak

@@ -450,7 +450,7 @@ Theoretical work on leaky integrate-and-fire and conductance-based models sugges
 
 \begin{figure*}[t]
   \includegraphics[width=\columnwidth]{nonlin_regime.pdf}
-  \caption{\label{fig:nonlin_regime} Nonlinear response of a model P-unit in response to increasing beat amplitudes in a three-fish or two-beat setting. The model used has the cell identifier 2013-01-08-aa (table~\ref{modelparams}). \figitem{A--D}. Top -- stimulus consisting of two beats. The beat frequencies are 30\,Hz (\bone{}) and 130\,Hz (\btwo{}). \btwo{} is equal to the baseline firing rate \fbase{}. The beat contrasts are equal in the respective example, and increase from \panel{A} to \panel{D}. Middle -- spike response of the model P-unit to the stimulus above. Bottom -- power spectrum of the firing rate of this P-unit. Nonlinear effects at \bsum{} (orange marker) and at \bdiff{} (red marker) increase for intermediate contrasts (\panel{B}), decrease for stronger contrasts (\panel{C}) and again increase for very strong contrasts (\panel{D}). \figitem{E} Amplitude of the linear (\bone{} and \btwo{}) and nonlinear (\bdiff{} and \bsum{}) responses of the model P-units plotted for increasing beat contrasts (contrasts equal for both beats). }
+  \caption{\label{fig:nonlin_regime} Nonlinear response of a model P-unit to increasing beat amplitudes in a three-fish or two-beat setting. The model used has the cell identifier 2013-01-08-aa (table~\ref{modelparams}). \figitem{A--D}. Top -- stimulus consisting of two beats, with different contrasts. The beat frequencies are 30\,Hz (\bone{}) and 130\,Hz (\btwo{}). \btwo{} is equal to the baseline firing rate \fbase{}. The contrasts of both beats are equal in a panel, and increase from \panel{A} to \panel{D}. Middle -- spike response of the model P-unit to the stimulus above. Bottom -- power spectrum of the firing rate of this P-unit model. Nonlinear effects at \bsum{} (orange marker) and at \bdiff{} (red marker) in the power spectrum of the P-unit firing rate increase for intermediate contrasts (\panel{B}), decrease for stronger contrasts (\panel{C}) and again increase for very strong contrasts (\panel{D}). \figitem{E} Amplitude of the linear (\bone{}, \btwo{}) and nonlinear (\bdiff{}, \bsum{}) responses of the model P-units plotted for increasing beat contrasts (contrasts increase equally for both beats). }
 \end{figure*}
 
 
@@ -463,7 +463,7 @@ When stimulating the fish with both frequencies, additional peaks appear in the
 The beat stimuli in the example were strong and partially revealed saturating nonlinearities of the P-units. For weakly nonlinear responses we need to use stimuli of much lower amplitudes. 
 
 
-The response of a P-unit to varying beat amplitudes has been estimated by leaky-integrate-and-fire (LIF) models, fitted to the baseline firing properties of electrophysiologically measured P-units. In the chosen P-units model nonlinear peaks (red and orange markers) appear for intermediate beat stimuli (\subfigrefb{fig:motivation}{B}), decreases for stronger stimuli (\subfigrefb{fig:motivation}{C}) and again emerges for very strong stimuli (\subfigrefb{fig:motivation}{D}). Thus two regimes of nonlinearity can be observed for intermediate and strong beat amplitudes (\subfigrefb{fig:motivation}{E}).
+The response of a P-unit to varying beat amplitudes can be modeled by a leaky-integrate-and-fire (LIF) model, fitted to the baseline firing properties an electrophysiologically measured P-unit. In the chosen P-unit model nonlinear peaks (orange marker) appear for intermediate beat contrasts (\subfigrefb{fig:motivation}{B}), decrease for stronger contrasts (\subfigrefb{fig:motivation}{C}) and again emerges for very strong beat contrasts (\subfigrefb{fig:motivation}{D}). Thus two regimes of nonlinearity can be observed for intermediate and strong beat amplitudes (\subfigrefb{fig:motivation}{E}).
 
 For this example, we have chosen two specific stimulus (beat) frequencies. For a full characterization of the nonlinear responses, we need to measure the response of the P-units to many different combinations of stimulus frequencies.