Direction of motion decoding in mouse V1: Neuron predictive power relates to functional connectivity organization

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 populati...

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Vydáno v:Proceedings of ... International Joint Conference on Neural Networks s. 1 - 10
Hlavní autoři: Savaglio, Mario Alexios, Brozi, Christina, Psilou, Eleftheria, Koumpouzi, Chryssalenia, Papadostefanaki, Marianna, Vasilakos, Christos, Nessis, Spyros, Smyrnakis, Emmanouel, Akoutas, Vasileios, Keliris, Georgios A., Palagina, Ganna, Smirnakis, Stelios M., Papadopouli, Maria
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 30.06.2025
Témata:
area V1
Decoding
direction of motion
functional connectivity
Information processing
Mice
Mutual information
neuronal ensembles
Neurons
Organizations
Recording
Reliability
stimulus decoding
Tuning
Visualization
ISSN:2161-4407
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Shrnutí: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 neuron 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.
ISSN:2161-4407
DOI:10.1109/IJCNN64981.2025.11229107