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@@ -1,7 +1,7 @@
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# Dataset Structure
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The decoding scans are provided as .h5 files. There are two types of decoding scans:
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-- *Objects*: For the object discrimation task.
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+- *Objects*: For the object discrimation task
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- *Ellipse*: For the detection task
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The following attributes are present in each individual dataset:
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@@ -10,9 +10,9 @@ The following attributes are present in each individual dataset:
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- **class_trials:** image class for each trial
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- shape:`n_trials,`
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- for **Object Discrimination (i.e. Objects scans)**: The class reflects the object identity as well as the color of the object:
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- - object identity:
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- - object color:
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+ - object identity:
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+ - object color:
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- for **Detection (i.e. Ellipse scans)**:
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- - image can either contain a dark ellipse in the `uv` or `green` channel, or no ellipse (`noise` trials)
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+ - image can either contain a dark ellipse in the `uv` or `green` channel, or no ellipse (`noise` trials)
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- **activity_trials:** mean activity per neuron for each trial
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- shape:`n_neurons x n_trials`
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