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Co-activation probability between neurons in the largest brain connectome of the fruit fly

<p>This is a data set containing the co-activation probability between neurons in the largest brain connectome of the fruit fly released by&nbsp;the FlyEM project. The co-activation probability is measured based on neural dynamics computation, where a&nbsp;standard leaky integrate-and-fire (LIF) model is applied on the&nbsp;connectome to generate neural dynamics. Please read the paper &quot;Yang Tian, Pei Sun; <strong>Percolation may explain efficiency, robustness, and economy of the brain</strong>.&nbsp;<em><em>Network Neuroscience</em></em>&nbsp;2022; 6 (3): 765&ndash;790. doi:&nbsp;<a href="https://doi.org/10.1162/netn_a_00246">https://doi.org/10.1162/netn_a_00246</a>&quot; for more details.</p> <p><strong>This is the newest version of the data set.</strong></p> <p>The following is a list of variable information:</p> <p>(1)&nbsp;SomaLocation is a 23008*3 matrix that contains the&nbsp;three-dimensional coordinates of neurons;</p> <p>(2)&nbsp;LambdaVector is the vector of&nbsp;a vector of&nbsp;synaptic excitation-inhibition (E/I) balance&nbsp;(see &quot;Percolation may explain efficiency, robustness, and economy of the brain&quot; for detailed explanations).</p> <p>(3)&nbsp;DirectedCoactivationPattern is a cell of co-activation probability matrices generated under each&nbsp;E/I&nbsp;balance condition, which is used in &quot;Percolation may explain efficiency, robustness, and economy of the brain&quot; for computational experiments. The (i,j)-th element in the matrix is the probability for neuron i to activate neuron j under the corresponding&nbsp;E/I&nbsp;balance condition. Note that the&nbsp;(i,j)-th element can be differnt from the (j,i)-th element.&nbsp;</p> <p>(4)&nbsp;SymmetricCoactivationPattern is a cell&nbsp;of symmetric co-activation probability matrices&nbsp;generated under each&nbsp;E/I&nbsp;balance condition. This is a new data that has not been used in &quot;Percolation may explain efficiency, robustness, and economy of the brain&quot; yet. The&nbsp;(i,j)-th element in the matrix is the probability for neurons i and j to be co-activated under the corresponding&nbsp;E/I&nbsp;balance condition. If we define D as the&nbsp;directed co-activation probability matrix and denote S as the&nbsp;symmetric co-activation probability matrix, then we have S(i,j)=S(j,i)=0.5*(D(i,j)+D(j,i)).&nbsp;</p> <p>The earlist version of this data can be seen in&nbsp;https://zenodo.org/record/5497516, which may lack detailed explanations.</p> <p>The second version of this data can be seen in https://zenodo.org/record/7869532, where a small mistake is found while calculating the&nbsp;SymmetricCoactivationPattern. This mistake is resolved in the newest version.</p>