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Middle temporal area (V5/MT)
extrastriate visual area, connections primarily from V1 and V2 motion; sensitive neurons with large receptive fields and preferred velocities (direction and speed) neurons encode for instantaneous strength of motion in preferred direction
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Lateral intraparietal area (LIP)
(in terms of motor significance, important for planning) region of lateral bank of the intraparietal sulcus receives input from extrastriate cortices, including MT; major projections to FEF and SC; topographically organized code for direction and amplitude of saccades pre-saccadic and peri- saccadic neural activity associated with preferred saccades; proposed covert psychological processes in sensorimotor processing: attention, motor planning, and decision
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Frontal eye field (FEF)
located posterior to the arcuate sulcus in prefrontal cortex motor function: microstimulation elicits saccades, pre- and peri-saccadic activity direct innervation of superior colliculus and other brainstem eye movement centers visual function: convergence of extrastriate input (MT, LIP, TEO) stereotyped activity with saccade to target in response field: initial burst of activity at target onset, then low rate into slow ramping activity to a pre-saccadic burst
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Newsome and Pare, Motion Discrimination
key point: animal’s choice/behavior [aka which direction he would look] could be predicted from MT neuron activity; the experiment had a monkey stare at FP that had a certain amount of dots moving dots to the left or right; the coherence of the dots was the number of dots moving in the same direction; as the number of dots moving uniformly to one side increased (coherence increased), MT neuron spike rate increased; also behavioral performance/accuracy increased (duh, if the signal was clear you're going to make an eye movement in the right direction)
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Neuroeconomics: Platt and Glimcher
key point: firing pattern in LIP tends to represent utility in choosing those two options (aka high firing correlates with high probability of reinforcement/magnitude of it)...LIP knows when it's going to get rewarded; task was that Macaque monkeys stares at center fixation --- two flanking circles appear (one’s green, other’s red) --- the fixation point changes color --- when the FP goes away they have to make an eye movement to one of the circles that matches in color; experimenters manipulated the probability and MAGNITUDE of the reward (either drops of juice or amount a color would correlate with recieving juice)
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reward functions to: (do 3 things)
- 1) elicit approach behavior (either through innate mechanisms or learning)
- 2) Increase the frequency and intensity of a behavior that leads to a reward (learning)
- 3) Induce subjective feelings of pleasure (hedonia) and positive emotional states
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a Dopamine response at the time of a REWARD:
response can be predicted using this formual: reward occurred (0, didn't or 1 did ) – reward predicted (0 or 1). Predicted if there was a tone (aka CS) and rewarded if there was a reward after the delay
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two dopamine production areas in the brain:
VTA (ventral tegmental area) goes through cortex, especially prefrontal, and the substantia nigra goes through the basal ganglia
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Schultz Reward Prediction Error
argues that dopamine neurons activity is predicting the error in a reward; 3 trials: in the 1st, there is no CS (tone) but there is a reward, which is followed by DA response. In the 2nd there IS a CS, which is followed by a DA response and then a reward which is not followed by a DA response. In the 3rd, there is a CS followed by activity but then there is NO reward, and this lack of a reward is followed by a suppression in activity.
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Dopamine/the releasing systems have two roles:
monitoring whether the brain-state maintains a belief, or whether it changes it
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primary reward vs secondary reward:
Primary = innate in the environment (liquids, food) Secondary = learned through associations (money)
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MT projects to LIP which projects to FEF ----- SC
GET IT!? that's the saccade decision network
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