Abstract

SummaryThe visual responses of neurons in the primary visual cortex (V1) are influenced by the animal’s position in the environment [1, 2, 3, 4, 5]. V1 responses encode positions that co-fluctuate with those encoded by place cells in hippocampal area CA1 [2, 5]. This correlation might reflect a common influence of non-visual spatial signals on both areas. Place cells in CA1, indeed, do not rely only on vision; their place preference depends on the physical distance traveled [6, 7, 8, 9, 10, 11] and on the phase of the 6–9 Hz theta oscillation [12, 13]. Are V1 responses similarly influenced by these non-visual factors? We recorded V1 and CA1 neurons simultaneously while mice performed a spatial task in a virtual corridor by running on a wheel and licking at a reward location. By changing the gain that couples the wheel movement to the virtual environment, we found that ∼20% of V1 neurons were influenced by the physical distance traveled, as were ∼40% of CA1 place cells. Moreover, the firing rate of ∼24% of V1 neurons was modulated by the phase of theta oscillations recorded in CA1 and the response profiles of ∼7% of V1 neurons shifted spatially across the theta cycle, analogous to the phase precession observed in ∼37% of CA1 place cells. The influence of theta oscillations on V1 responses was more prominent in putative layer 6. These results reveal that, in a familiar environment, sensory processing in V1 is modulated by the key non-visual signals that influence spatial coding in the hippocampus.

Highlights

  • As expected [5], neural populations in both CA1 and V1 had response profiles that tiled the corridor, providing a coherent encoding of spatial position (Figures 1C–1F)

  • To test whether responses in visual cortex are modulated by non-visual factors that affect spatial coding in hippocampus, we recorded from both regions simultaneously while mice performed a spatial task in virtual reality (Figures 1A–1C)

  • We focused on neurons that significantly changed their firing rate across positions in the corridor (1,431 CA1 neurons from 54 recording sessions, excluding putative interneurons; 1,127 V1 neurons from 35 recording sessions; p < 0.01)

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Summary

Introduction

As expected [5], neural populations in both CA1 and V1 had response profiles that tiled the corridor, providing a coherent encoding of spatial position (Figures 1C–1F). The activity of either region could be used to decode the animal’s position (Figure S2A). On average, both CA1 and V1 neural responses reflected the position of the animal (Figure 1E). As previously shown [5], occasional errors in the positions encoded by V1 and CA1 were significantly correlated (Figures 1D and 1F). This correlation could not be explained by fluctuations in other aspects of the animal’s behavior

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