<p>Layer, morphology and electrical type combinations (LME) of the generalization dataset with the corresponding neurons counts.</p
(A) Feature errors from the best electrical models (e-models) showed in Fig 4 applied to 50 differen...
(a) The principal axis of combined laminar thickness and intensity covariance matrices (LTIC G1) and...
<p>Three of the most useful statistics, CV of log ISIs (LCV), mean spike frequency (MSF) and log-int...
<p>Layer, morphology and electrical type combinations (LME) of the model dataset with the correspond...
<p>Different layers, morphological and electrical phenotypic profiles of the 65 neurons.</p
<p>The generalization data set consists of eighteen neurons belonging to fourteen LME combinations.<...
<p>Recognition rate of the combiner in the Modified Stacked Generalization method with different num...
Quantification of neuronal populations using flat-mount immunohistochemistry.</p
<p>Distribution of degrees among identified descending neuron types in the zebrafish model.</p
<p>The corresponding neuron labels are colour coordinated according to their ganglion type.</p
<p>Block diagram of Combined Neural Networks; Modified Stacked Generalization method.</p
<p>Cytological Characteristics of the Three Classes of dLGN Projection Neurons.</p
<p>Neuronal firing pattern observed for various kinds of stimulation pattern.</p
<p>The numbers of genetically labeled MB neurons in different GAL4 lines expressing in α′β′ neurons....
<p>(A–D) Representative images of the four major classes of lAL LNs: pan-glomeruli (pan) (A), lavish...
(A) Feature errors from the best electrical models (e-models) showed in Fig 4 applied to 50 differen...
(a) The principal axis of combined laminar thickness and intensity covariance matrices (LTIC G1) and...
<p>Three of the most useful statistics, CV of log ISIs (LCV), mean spike frequency (MSF) and log-int...
<p>Layer, morphology and electrical type combinations (LME) of the model dataset with the correspond...
<p>Different layers, morphological and electrical phenotypic profiles of the 65 neurons.</p
<p>The generalization data set consists of eighteen neurons belonging to fourteen LME combinations.<...
<p>Recognition rate of the combiner in the Modified Stacked Generalization method with different num...
Quantification of neuronal populations using flat-mount immunohistochemistry.</p
<p>Distribution of degrees among identified descending neuron types in the zebrafish model.</p
<p>The corresponding neuron labels are colour coordinated according to their ganglion type.</p
<p>Block diagram of Combined Neural Networks; Modified Stacked Generalization method.</p
<p>Cytological Characteristics of the Three Classes of dLGN Projection Neurons.</p
<p>Neuronal firing pattern observed for various kinds of stimulation pattern.</p
<p>The numbers of genetically labeled MB neurons in different GAL4 lines expressing in α′β′ neurons....
<p>(A–D) Representative images of the four major classes of lAL LNs: pan-glomeruli (pan) (A), lavish...
(A) Feature errors from the best electrical models (e-models) showed in Fig 4 applied to 50 differen...
(a) The principal axis of combined laminar thickness and intensity covariance matrices (LTIC G1) and...
<p>Three of the most useful statistics, CV of log ISIs (LCV), mean spike frequency (MSF) and log-int...
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