Ocular dominance-dependent binocular combination of monocular neuronal responses in macaque V1.

Primates rely on two eyes to perceive depth, while maintaining stable vision when either one eye or both eyes are open. Although psychophysical and modeling studies have investigated how monocular signals are combined to form binocular vision, the underlying neuronal mechanisms, particularly in V1 where most neurons exhibit binocularity with varying eye preferences, remain poorly understood. Here, we used two-photon calcium imaging to compare the monocular and binocular responses of thousands of simultaneously recorded V1 superficial-layer neurons in three awake macaques. During monocular stimulation, neurons preferring the stimulated eye exhibited significantly stronger responses compared to those preferring both eyes. However, during binocular stimulation, the responses of neurons preferring either eye were suppressed on the average, while those preferring both eyes were enhanced, resulting in similar neuronal responses irrespective of their eye preferences, and an overall response level similar to that with monocular viewing. A neuronally realistic model of binocular combination, which incorporates ocular dominance-dependent divisive interocular inhibition and binocular summation, is proposed to account for these findings.

[Progress in multisensory integration during self motion processing].

In the daily life, we perceive the world around us by integrating multiple sensory cues (visual, auditory, olfactory, gustatory, tactile, vestibular and proprioceptive) to create a coherent, reliable representation that allows us to interact meaningfully with the environment. The integration of different sensory information is necessary for our perception, motor transformation, decision making, learning and memory. In the past decades, many interdisciplinary researchers have been attracted to the field of multisensory research, and tremendous advances have been made in this field. We review the researches on multisensory integration during self-motion perception in the past decades from the candidate areas, the integration principles and the neural correlation of the behaviors, with the intention to provide a comprehensive source for those interested in understanding the neural substrates for multisensory integration. Meanwhile, we also provide a prospect for the future research in this field.