2026-10-06T08:55:43Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34036232 2026-09-30T17:47:07Z category_146 category_7 category_15 category_734 portal_5 item_type_1 month_year_09_2026

<p>Results of the illustrative simulation study (cont’).</p> Sahar Khosravi (25145471) Nikolas A. Francis (21575429) Patrick O. Kanold (3190650) Behtash Babadi (5156105) Space Science Medicine Neuroscience Biological Sciences not elsewhere classified offering new insights neuronal populations interact mouse auditory cortex large neuronal ensembles eliciting distinct behaviors active tone discrimination slow temporal dynamics neuronal ensemble activity endogenous neural processes transform sensory information intersection information framework study neural encoding functional connectivity associated div >< p inform behavioral readout also identify neurons photon imaging data behavioral functional taxonomy photon imaging functional connectivity behavioral readout temporal predictability spiking activity point processes functional sensori behavioral relevance sensory stimuli readout properties statistical framework proposed framework vivo </ unified conceptual space modeling proposed methodology passive listening operational modeling noisy observations latent interplay granger ’ granger sensori fundamental challenge external stimuli experimental data existing techniques existing studies driven methodology diverse stimuli <p><b>A)</b> The baseline ROC performances of detecting the GC links between the neurons and the proposed G-taxonomy are shown for the 2P Data (left), Two-Stage PSTH (middle), and the proposed (right) methods. Each panel is the result of 10 random network realizations and error bars indicate 95% confidence intervals. <b>B)</b> ROC performances for stimulus SNR = 10 dB. <b>C)</b> ROC performances for stimulus SNR = 5 dB. <b>D)</b> ROC performances with spiking model mismatch, where the data is generated by a Poisson point process, but inferred using a Bernoulli model. <b>B)</b> ROC performances for network sub-sampling (10 neurons randomly chosen out of a network of 50 neurons). ROC analysis in panel A shows high sensitivity and specificity for all categories (FDR controlled) for our proposed method, whereas the 2p Data and Two-Stage PSTH suffer from poor hit rate and high false alarm rate (see the dashed ellipsoids for a visual guideline). While the performance of all methods degrades in panels B-E compared to the baseline, our proposed method exhibits more robustness, especially in detecting the GC and GS neurons.</p> 2026-09-30T17:47:02Z Image Figure 10.1371/journal.pcbi.1014820.g003 https://figshare.com/articles/figure/_p_Results_of_the_illustrative_simulation_study_cont_p_/34036232 CC BY 4.0