IEEE International Conference on Bioinformatics and Bioengineering (BIBE)NeurosciencePeer-reviewed journal article
Disentangling Stimulus & Population Dynamics in Mouse V1: Orthogonal Subspace Decomposition for Neural Representation
Νikolaos TzanakisiD, Alexandros BarberisiD, Mario Alexios SavaglioiD, Ioanna ChourdakiiD, Stelios M. SmirnakisiD, Maria PapadopouliiD
Abstract
Understanding how the primary visual cortex of mice represents the external sensory input separately from the internal states is a fundamental challenge in systems neuroscience. Our work contributes to the problem of decoupling the stimulus-driven and internally generated components of neural activity in the primary visual cortex. Internally generated (or intrinsic) activity refers to neural dynamics that are not directly driven by sensory stimuli, reflecting the brains ongoing, endogenous processes. Neuronal activity encodes both external stimuli and internal cortical states. The internally modulated activity, though not directly observable, can be inferred from the shared structure in population responses, and thus, serves as a proxy for the internal cortical state. We developed a two-phase Partial Least Squares Regression (PLSR) framework that decomposes neural activity into two orthogonal low-dimensional subspaces: (1) a "population" sub-space capturing global variability shared across neurons, and (2) a "stimulus" subspace containing dimensions that discriminate between stimulus conditions while being linearly uncorrelated with the population subspace. We focus on the granular (L4) and supragranular (L2/3) layers of awake mice exposed to visual stimuli consisting of optical flow directions, using mesoscopic two-photon calcium imaging. In both L4 and L2/3 layers, many components individually yield above-chance decoding accuracy, yet a small low-dimensional subspace preserves nearly the full decoding performance of the high-dimensional population. Stimulus-driven components exhibit strong cross-mouse correlations, indicating a conserved coding scheme present in both L4 and L2/3. These components are stable across the entire recording session, reflecting robustness of the underlying representation over time. Removing the global modulation did not abolish stimulus discriminability in either layer, suggesting that information about stimulus direction is not dependent on this global signal. Both L4 and L2/3 stimulus components exhibit comparable decoding performance as well as similar tuning representations, suggesting common encoding of stimulus direction across layers.
- organism: mouse
- assay: electronic health records
- research focus: dimensionality reduction
- approach: statistical model
- Citations
- 1
- FWCI
- 2.24
- Field percentile
- top 10%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Organization of Neural Population Code in Mouse Visual System
Kathleen Esfahany, Isabel Siergiej, … Il Memming Park·eNeuroPeer-reviewed·Jul 1, 2018
- Different representations in layer 2/3 and layer 5 excitatory neurons of the primary visual cortex
Timothy P.H. Sit, Célian Bimbard, … Kenneth D Harris·bioRxiv·Jun 30, 2025
- Continuous multiplexed population representations of task context in the mouse primary visual cortex
Márton Albert Hajnal, Duy Tran, … Gergő Orbán·Nature CommunicationsPeer-reviewed·Oct 21, 2023
- Visual reconstruction from 2-photon calcium imaging suggests linear readout properties of neurons in mouse primary visual cortex
Stefania Garasto, Anil Anthony Bharath, Simon R. Schultz·bioRxiv·Apr 12, 2018
- On the Subspace Invariance of Population Responses
Elaine Tring, Dario L. Ringach·bioRxiv·Jul 4, 2018
- A large-scale, standardized physiological survey reveals higher order coding throughout the mouse visual cortex
Saskia E. J. de Vries, Jérôme A. Lecoq, … Christof Koch A·Nature NeurosciencePeer-reviewed·Dec 16, 2019