Decision Making & Reward Flashcards
Decision Factors
Memory, Learning, Stochasticity (Randomness), and Conscious Will
Saccadic decision making circuit
MT to LIP
LIP to SC and FEF
FEF to SC
SC to oculomotor neurons
MT
- MT/V5 - middle temporal area. -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
LIP
lateral intraparietal area - 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
FEF
Frontal Eye Field - located in 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
SC
Superior Colliculus - located in the dorsal midbrain
inputs include retinal, striate and extrastriate, and motor inputs from FEF and LIP
-outputs to multiple brainstem areas involved in oculomotor control
-retinotopic map of visual space organized into response fields, coding for saccade amplitude and direction
-electrical stimulation produces conjugate contralateral saccades
perceptual decision making
Newsome used relationship between MT firing rate and coherence to look for evidence of a decision process- found that firing rate and behavioral performance increase with coherence, and concluded that MT was contributing to the decision process and behavior can be predicted by and is a function of the firing rate of MT
Integrative post-sensory processing in LIP
- Gradually rising activity predicts subsequent saccade towards or away from MF
- Rate of rise of decision-coding activity dependent on strength of motion stimulus
- At 0% coherence, despite no sensory signal above noise, neural activity is correlated with the monkey’s subsequent choice
perceptual decisions
closely related to the processes of recognition – “snap” decisions by which we classify what kind of thing we are seeing (or hearing, or feeling, or …) and then take the appropriate action – If that pedestrian is walking out into the street, I will apply my brakes; if she is standing still, I will continue driving past the crosswalk.
value-based decisions
the purview of neuroeconomics – Out of the (seemingly) hundreds of choices on the shelves, which bottle of red wine will I select to purchase and bring home to enjoy with dinner?
choice of action selection in decision making
FEF contains neurons that control gaze. Monkeys were placed through a saccade task and showed variability in response times. Faster response times spiked more steeply. Schall found that a certain threshold needs to be reached before a saccade is fired and whichever neuron firing for whichever direction reaches the threshold first determines the saccade
two classes of variables in decision making
-Current sensory information
-Stored representation of environmental
contingencies (expected gains/losses)
expected utility/gain
Probability of Reinforcement x
Magnitude of Reinforcement
reward
- A pleasurable event that follows a specific behavior.
- Can be primary (eg, food, sex) or secondary (eg, money).
- The brain uses rewards to learn, choose and prepare/execute goals.
the function of reward
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.