SensorLinks
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How Sensors are linked to other Mind Areas
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Contents
Sensor Area Inputs
- primary input - external world properties captured by sensor
- sensor control - origination of control data and nature of inter-area link - to be understood, see sections below
- perception feedback - time-based expectation for sensory data from perception area
Sensor Area Outputs
- primary output - sensory data, sent to perception area
- control feedback - providing status of control command execution - executed completely or partially, or somehow in different way
- exposed control state properties - emitted to external world to facilitate establishing direct communication channel with other subjects
Biological Eye Sensor Paths
- primary input
- light -> rods (fast colorless contrast low-resolution receptors)
- light -> cones (slow R/G/B high-resolution receptors)
- sensor control
- prefrontal cortex/eye field -> BSA/superior colliculus -> BSA/horizontal gaze center
- prefrontal cortex/eye field -> BSA/pretectum/horizontal gaze center
- visual cortex/association cortex -> superior colliculus -> pretectum/horizontal gaze center
- brain stem/midbrain/pretectum -> oculomotor, trochlear, abducent nerve (III, IV, VI cranial) -> pretectum/Edinger-Westphal nucleus -> ciliary ganglion -> eye
{code} constriction of pupil, accommodation of lens ciliary ganglion - parasympathetic ganglion Edinger-Westphal nucleus - parasympathetic cranial nerve nucleus {code}
- primary output
- rods/cones -> thalamus/LGN/1-6 (main relay) -> primary visual cortex
- rods/cones -> superior colliculus (10%, 150K axons - initiates move to orient eye toward stimulus - place it from peripheral field to fovea/macula)
- rods/cones -> pretectum (pupil resize and accommodation reflex)
- rods/cones -> hypothalamus (synchronize biological rhythms)
Linking Sensors to Perception - HLAv3
- sensor/data -> thalamus/input
- thalamus/output -> perception/feed-forward-input
- perception/feed-forward-output -> parietal/feed-forward-input
- perception/feed-back-output -> thalamus/input
- parietal/feed-forward-output -> sensor/control
- parietal/feed-back-output -> perception/feed-back-input
- sensor/feedback -> somatic/feed-forward-input
- somatic/feed-forward-output -> parietal/feed-forward-input
- somatic/feed-back-output -> parietal/feed-back-input
Linking Sensors to Perception
- for each sensor there is perception belief network for processing sensor data
- several sensors are mapped to perception area
- each sensor needs its own processing because of specific data format and patterns
Interesting facts
- when an animal attends to some features in its sensations, the neural representations even in the lowest cortical levels adapt mostly to those features and not to others