Improved performance on the behavioral side due to cross-sensory integration is connected to effects of effects on the neurophysiological side.⇒
in a cue combination task with correlated errors, some subjects combined cues according to a linear cue combination rule which would have been appropriate for uncorrelated tasks, some combined them suboptimally altogether, and some combined them correctly as according to a linear cue combination rule for correlated tasks.⇒
Deactivating or stimulating certain parts of the the deeper layers of the SC induces arousal, freezing and escape behavior as well as a raise in blood pressure, heart rate, and respiration.
Reactions can be as complex as running and jumping.⇒
The function of SIV is unknown.⇒
Dehner et al. speculate that the inhibitory influence of FAES activity on SIV activity is connected to modality-specific attention: According to that hypothesis, an auditory stimulus which leads to strong FAES activity will suppress activity in FAES and thus block out cortical somatosensory input to the SC.⇒
Cortex uses the actuators through the midbrain and basal diencephalon. Since the midbrain is much smaller than the neocortex in humans, it acts as a bottleneck which integrates, serializes, and coordinates overt behavior.
As integrated, serial, and coordinated behavior is a feature of consciousness, it makes sense that the midbrain may play an important part in making consciousness.⇒
Patrick Winston differentiates two kinds of cognitive performance:
Overt visual function occurs only starting 2-3 weeks postnatally in cats.⇒
Kao et al. did not find visually responsive neurons in the deep layers of the cat SC within the first three postnatal weeks.⇒
Overt visual function can be observed in developing kittens at the same time or before visually responsive neurons can first be found in the deep SC.⇒
A localized visual stimulus can lengthen the response time to a target if the target stimulus appears somewhere too late after the first stimulus.
This is called `inhibition of return'.⇒
A new(ish) approach to AI and robotics is to program agents which are not modularized according to levels of hierarchy or along the perception-action axis, but according to behaviors.
Every module realizes some part of the overall behavior, including some of the necessary perception, processing, and action.
Some part of the architecture then decides which module gets control over which part of the agent at what time.⇒
Before a saccade is made, the region that will be the target of that saccade is perceived with higher contrast and visual contrast.⇒