Direction of motion decoding in mouse V1: Neuron predictive power relates to functional connectivity organization.
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| Title: | Direction of motion decoding in mouse V1: Neuron predictive power relates to functional connectivity organization. |
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| Authors: | Savaglio MA; Department of Computer Science, University of Crete, Greece.; Institute of Computer Science, Foundation for Research and Technology-Hellas, Greece., Brozi C; Department of Computer Science, University of Crete, Greece.; Institute of Computer Science, Foundation for Research and Technology-Hellas, Greece., Psilou E; Department of Computer Science, University of Crete, Greece.; Institute of Computer Science, Foundation for Research and Technology-Hellas, Greece., Koumpouzi C; Institute of Computer Science, Foundation for Research and Technology-Hellas, Greece., Papadostefanaki M; Institute of Computer Science, Foundation for Research and Technology-Hellas, Greece.; Archimedes Research Unit, Athena Research Center, Athens, Greece., Vasilakos C; Department of Computer Science and Engineering, University of Ioannina, Greece.; Institute of Computer Science, Foundation for Research and Technology-Hellas, Greece., Nessis S; Department of Physics, University of Ioannina, Greece.; Institute of Computer Science, Foundation for Research and Technology-Hellas, Greece., Smyrnakis E; Department of Computer Science and Engineering, University of Ioannina, Greece.; Institute of Computer Science, Foundation for Research and Technology-Hellas, Greece., Akoutas V; Department of Computer Science and Engineering, University of Ioannina, Greece.; Institute of Computer Science, Foundation for Research and Technology-Hellas, Greece., Keliris GA; Institute of Computer Science, Foundation for Research and Technology-Hellas, Greece.; Brigham and Women's Hospital and Jamaica Plain VA Hospital, Harvard Medical School, Boston, MA, USA., Palagina G; Brigham and Women's Hospital and Jamaica Plain VA Hospital, Harvard Medical School, Boston, MA, USA., Smirnakis SM; Brigham and Women's Hospital and Jamaica Plain VA Hospital, Harvard Medical School, Boston, MA, USA., Papadopouli M; Department of Computer Science, University of Crete, Greece.; Institute of Computer Science, Foundation for Research and Technology-Hellas, Greece.; Archimedes Research Unit, Athena Research Center, Athens, Greece. |
| Source: | BioRxiv : the preprint server for biology [bioRxiv] 2025 Sep 01. Date of Electronic Publication: 2025 Sep 01. |
| Publication Type: | Journal Article; Preprint |
| Language: | English |
| Journal Info: | Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE |
| Abstract: | Variability in single neuron responses presents a challenge in establishing reliable representations of visual stimuli essential for driving behavior. To enhance accuracy, integration of responses from multiple neurons is imperative. This study leverages simultaneous recordings from a large population (tens of hundreds) of neurons, achieved through in vivo mesoscopic 2-photon calcium imaging of the primary visual cortex (V1) in mice, under visual stimulus conditions as well as in resting state (absence of stimulus). The visual stimulus consisted of 16 distinct randomly shuffled directions of motion presented to the mice. We employed mutual information to identify neurons that contain the most significant information about the stimulus direction. As expected, neurons displaying high predictive power (HPP) in stimulus decoding exhibit elevated firing event rates during stimulus presentation. Furthermore, functional connectivity among HPP neurons during visual stimulation is denser and stronger compared to functional connectivity among other visually responsive neurons. Functional connections among HPP neurons appear to form independently of distance, suggesting a distributed yet highly coordinated network. In contrast, HPP neuronal activity and functional connectivity differed significantly at resting state. Specifically, during the resting state, HPP neurons exhibited lower event rates and functional connectivity structure that was not significantly different from that of other visually responsive neurons. This suggests that HPP neurons are less susceptible to being driven simultaneously by internal brain states in the absence of a stimulus. Finally, the tuning properties of HPP neurons were unexpectedly diverse: while some were sharply tuned, others conveyed a similar amount of mutual information, despite exhibiting much weaker tuning. This study sheds light on the organization of neuronal ensembles important for decoding visual motion direction in mouse area V1, contributing to the understanding of information processing in mouse visual cortex. |
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| Grant Information: | R01 NS113890 United States NS NINDS NIH HHS; R21 NS127299 United States NS NINDS NIH HHS |
| Contributed Indexing: | Keywords: area V1; direction of motion; functional connectivity; neuronal ensembles; stimulus decoding |
| Entry Date(s): | Date Created: 20250915 Date Completed: 20250918 Latest Revision: 20250919 |
| Update Code: | 20250919 |
| PubMed Central ID: | PMC12424748 |
| DOI: | 10.1101/2025.08.27.672292 |
| PMID: | 40950231 |
| Database: | MEDLINE |
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