Self-motion

…When animals move, self-motion creates motion parallax — an important but poorly understood source of depth information — whereby the speed of optic flow generated by self-motion depends on the depth of visual cues. This enables animals to estimate depth by comparing visual motion and self-motion speeds. As neurons in the mouse primary visual cortex (V1) are broadly modulated by locomotion, we hypothesized that they may integrate visual- and locomotion-related signals

…goal location by integrating self-motion in a virtual environment lacking position cues. Although this task requires only mentally tracking one’s position relative to the goal, subjects physically tracked this late

…in sensory information induced by self-motion. In Drosophila, connectomic analysis points to a variety of so-called LNO neurons as key inputs for this information to the central complex (CX), a navigational center of insect brains. Recent studies have reported that the responses of several of these neurons correlate with self-motion and with optic flow resulting from rotations and translations in 2D. However, flying animals, like bats and inse

Sensory inputs available to animals are often open to multiple interpretations. When evaluating the likelihood of a certain interpretation, it is important that they consider not only evidence confirming that interpretation, but also evidence against it. Human reasoning often fails to appropriately weigh negative evidence, a phenomenon termed confirmation bias. However, since behaving based on false beliefs is costly, animals may detect negative evidence better in the context of innate, naturalistic behaviors. An example of such behaviors is visual course stabilization. Existing models assume

The brain must differentiate between externally-generated and self-generated sensory inputs to build stable perception and generate appropriate behavior. Despite recent advances in neuroprostheses, little is known about how the brain interprets prosthetic sensory input, especially when self-generated. Here, we asked: How does the brain learn to distinguish self-generated prosthetic stimulation? To do this, we leveraged the well-understood neural pathways and behavior readouts of the vestibular system. A monkey was implanted with a vestibular prosthesis that restores sensory information via ner

…this perspective, synchronization of self-motion with a moving target is a simple control problem, where error between body and target is minimized by some combination of responsive and predictive control. However, self-movement can also result from reconciliation of multisensory prediction errors. When subjected to a visual/proprioceptive conflict, our bodies respond spontaneously and un

…flow fields that are generated during self-motion of the animal and will therefore depend on the type of locomotion. How evolution has matched computational resources to the behavioral constraints of an animal is not known. Here we use in vivo two photon imaging to record from a population of >3.500 local-direction selecti

Sensory experience often depends on one’s own actions, including self-motion. Theories of predictive coding postulate that actions are regulated by calculating prediction error, which is the difference between sensory experience and expectation based on self-generated actions. Signals consistent with prediction error have been reported in mouse visual cortex (V1) when visual flow coupled to running was unexpectedly stopped. Here, we show such signals can be elicited by visual stimuli uncoupled to animal’s running. We recorded V1 neurons while presenting drifting gratings that unexpectedly stop