Illusions are a powerful tool for studying the single neuron correlates of perception. Here, we introduce the neon color spreading (NCS) illusion in mice and report the neuronal correlates of illusory brightness, which has heretofore only been studied using human fMRI. We designed a novel NCS paradigm to evoke the percept of an illusory drifting grating and analyzed the activity of 520 single units in the mouse primary visual cortex (V1). A substantial proportion of V1 single units (60.5%) responded to illusory gratings with direction tuning matched to their preferred direction, which was determined using physically presented luminance-defined gratings (LDG). Moreover, by presenting LDG gratings with a 180° phase shift relative to NCs grati...
The mind affects the body via central nervous system (CNS) control of the autonomic nervous system (...
The mind affects the body via central nervous system (CNS) control of the autonomic nervous system (...
Computational neuromodeling may help to further our understanding of how empirical neuroimaging find...
The primary visual cortex (V1) is the main source of visual input to downstream cortical areas; it i...
Spatial transitions in color can aid any visual perception task, and its neural representation – an ...
After photons enter the eye, neurons transduce them into patterns of spikes that propagate through t...
An increased understanding in mouse primary visual cortex (V1) will allow us to better characterize ...
AbstractNeon color spreading is closely related to the photopic visual phantom illusion, since these...
Summary: Many factors modulate the state of cortical activity, but the importance of cortical state ...
Learning to recognize and filter familiar, irrelevant sensory stimuli eases the computational burden...
Neon color spreading is closely related to the photopic visual phantom illusion, since these two com...
g Band plays a key role in the encoding of visual features in the primary visual cortex (V1). In rod...
Luminance causes the pupillary light response (PLR), a constriction of the pupil. Surprisingly, mere...
Visual scene perception owes greatly to surface features such as color and brightness. Yet, early vi...
A neural network model of early visual processing offers an explanation of brightness effects often ...
The mind affects the body via central nervous system (CNS) control of the autonomic nervous system (...
The mind affects the body via central nervous system (CNS) control of the autonomic nervous system (...
Computational neuromodeling may help to further our understanding of how empirical neuroimaging find...
The primary visual cortex (V1) is the main source of visual input to downstream cortical areas; it i...
Spatial transitions in color can aid any visual perception task, and its neural representation – an ...
After photons enter the eye, neurons transduce them into patterns of spikes that propagate through t...
An increased understanding in mouse primary visual cortex (V1) will allow us to better characterize ...
AbstractNeon color spreading is closely related to the photopic visual phantom illusion, since these...
Summary: Many factors modulate the state of cortical activity, but the importance of cortical state ...
Learning to recognize and filter familiar, irrelevant sensory stimuli eases the computational burden...
Neon color spreading is closely related to the photopic visual phantom illusion, since these two com...
g Band plays a key role in the encoding of visual features in the primary visual cortex (V1). In rod...
Luminance causes the pupillary light response (PLR), a constriction of the pupil. Surprisingly, mere...
Visual scene perception owes greatly to surface features such as color and brightness. Yet, early vi...
A neural network model of early visual processing offers an explanation of brightness effects often ...
The mind affects the body via central nervous system (CNS) control of the autonomic nervous system (...
The mind affects the body via central nervous system (CNS) control of the autonomic nervous system (...
Computational neuromodeling may help to further our understanding of how empirical neuroimaging find...