Abstract
The cortical code that underlies perception must enable subjects to perceive the world at time scales relevant for behavior. We find that mice can integrate visual stimuli very quickly (<100 ms) to reach plateau performance in an orientation discrimination task. To define features of cortical activity that underlie performance at these time scales, we measured single-unit responses in the mouse visual cortex at time scales relevant to this task. In contrast to high-contrast stimuli of longer duration, which elicit reliable activity in individual neurons, stimuli at the threshold of perception elicit extremely sparse and unreliable responses in the primary visual cortex such that the activity of individual neurons does not reliably report orientation. Integrating information across neurons, however, quickly improves performance. Using a linear decoding model, we estimate that integrating information over 50–100 neurons is sufficient to account for behavioral performance. Thus, at the limits of visual perception, the visual system integrates information encoded in the probabilistic firing of unreliable single units to generate reliable behavior.
Highlights
Animals regularly identify the presence of external stimuli and make decisions based on this evidence within very short time intervals (Thorpe et al 1996; Keysers et al 2001; Yilmaz and Meister 2013; Hoy et al 2016)
To define features of cortical activity that underlie performance at these time scales, we measured single-unit responses in the mouse visual cortex at time scales relevant to this task
Animals regularly identify the presence of external stimuli and make decisions based on this evidence within very short time intervals (Thorpe et al 1996; Keysers et al 2001; Yilmaz and Meister 2013; Hoy et al 2016)
Summary
Animals regularly identify the presence of external stimuli and make decisions based on this evidence within very short time intervals (Thorpe et al 1996; Keysers et al 2001; Yilmaz and Meister 2013; Hoy et al 2016). Reliable performance with limited information requires a robust representation of the external world, but the structure of neural activity that underlies representation of sensory stimuli in circumstances where evidence is fleeting or scarce is not known. Rapid processing of sensory information has obvious evolutionary benefits (Yilmaz and Meister 2013; Hoy et al 2016), but the relationship between performance and neural representation has not been carefully investigated.
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