Function of the Cerebellum/Basal Ganglia Flashcards
1
Q
Characteristics of a feeback controller
A
- e.g. a simple thermostat:
- turns on a powerful heater when room temperature drops below a certain threshold
- turns on a powerful cooling system when the temperature exceeds a certain threshold.
- This would describe a feedback- regulated thermostat.
- Though simple and accurate, feedback regulation tends to be slow and attempts to speed it up cause oscillations.
2
Q
Characteristics of a feedforward controller
A
- Feedforward controllers use cues to predict the future state of the system based on an internal model of the system
- E.g. feedforward thermostat:
- sense variables such as when the window opens, how much it opened, the outside temperature ==>
- predicts the change in room temperature ==> activates the heater preemptively, counteracting the coming temperature drop, and maintaining stable target value
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3
Q
Feedback vs. Feedforward in motor control
A
- If using feedback instead of feedforward to target something you get an oscillation or intention tremor.
4
Q
Parietal cortex role in reaching motion
A
- In the parietal association cortex, the brain integrates visual information about the target and somatosensory information about the limb position ==>
- integrated information is fed to the motor cortices in the frontal lobe to guide movement of the limb to the target.
5
Q
Processing of visual info
A
- Visual information is processed first in the occipital cortex ==> two streams of information.
- “what” pathway = processed in ventral cortical areas that advance from occipital to the inferior temporal lobes ==> object form info
- “where” pathway = other stream of information advances dorsally from occipital cortex into the parietal lobe ==> info about location in space of visual stimuli.
6
Q
Mechanism of cerebellar adaptation of cortical networks (visual coordinates vs. joint position)
A
- Inferior olivary nucles = comparator = compares expected state to observed state
- expected state is conveyed by outputs from deep cerebellar nuclei (GABA-nergic)
- observed state is conveyed by visual and proprioceptive feedback to ION (project to fxnl zones of cerebellum)
- if feedback differs from expected state ==> error signal via climbing fibers ==> complex spikes @ purkinje cells ==> long term depression modifications
7
Q
Mossy fiber role in cerebral-cerebellar coordination
A
- mossy fibers = reflective of current state of parietal cortical mapping between visual and proprioceptive signals
- mossy fibers ==> granule cells == parallel fibers ==> purkinje cells ==> dentate nucleus ==> thalamus ==> motor/premotor cortex
8
Q
Ventral tegmentum (VTA) characteristics
A
- The ventral tegmentum area (VTA) is a group of neurons located close to the midline on the floor of the midbrain.
- The VTA is the origin of the dopaminergic cell bodies of the mesocorticolimbic dopamine system and is widely implicated in the drug and natural reward circuitry of the brain.
- It is important in cognition, motivation, drug addiction, intense emotions relating to love, and several psychiatric disorders.
9
Q
Activity of dopaminergic neurons during reward trials
A
- first trial ==> unexpected reward ==> spike in the number of action potentials produced by the dopaminergic neuron
- After a few trials ==> association of the symbol with the reward ==> spike of dopaminergic neuronal activity ==> now occurring at the time of the reward-anticipating cue.
- more trials ==> relationship between the cue and the reward is established and expected ==> dopamine release will cease altogether.
10
Q
Mechanism of VTA/SNc reward prediction
A
- Dpoamine is released by dopanergic neurons @ VTA/SNc when unexpected rewards are encountered
- Occures b/c VTA/SNc = ~ION @ cerebellum
- Additional inputs to the SNc/VTA convey information about the actual experience of reward, the SNc/VTA acts as a comparator activated by a mismatch between observed and expected rewards.
- An unpredicted reward will strongly activate these neurons, and the dopamine released into the striatum will alter the activity and the plasticity of corticostriatal networks ==>
- networks that correctly predicted the error will be reinforced, and those that do not correctly predict the error will be diminished.
11
Q
A