L13 - linking senses and behaviour to memory Flashcards
what are David Marr’s 3 levels of analysis
1) computational problem
2) algorithm
3) physical implementation
what is the computational problem
integrate noisy sensory input and decide the correct action
what is the algorithm
drift-diffusion model
explains - frequency of distribution of reaction lines and the speed accuracy trade off
what is the physical implimentation
ramping up the neural activity to a threshold - neural mechanisms behind this not completely understood
what is the barbarismus strategy for evidence accumulation
start with abstract variable at neutral point, when see matched characters will go up, mismatched will go down
will reach a decision bound stating either the messages are in depth or not in depth
y-axis = evidence
x -axis = number of characters tested
what does it mean if get to the threshold
it will be 100 x more likely that is in depth/not in depth is log(2)
outline the drift diffusion model
start at neutral point
there is an abstract variable and as evidence comes in over time, go up or down then hit a boundary to say matching or non matching
depending on how long it took to get to that boundary have a different reaction
the variable drifts up/down based on evidence coming in
the variable diffuses towards one direction bound
what type of skew is the distribution of reaction times
non-Gaussian - asymmetrical - skewed to the right
how can you transform non-gaussian data to become Gaussian
plot the reciprocal of the latency
so that the random underlying variable is 1/reaction time
what is the equation for reaction time
t = A/r
what is A in the chart
A = height of decision bound
what it the speed accuracy trade off with mice
mouse pokes nose in odour, when it hears a buzz it has to stop sniffing and chose a water port based on the odour it smelled.
When the odour sampling time is cut short by the buzzer, the mouse makes less accurate decisions
what shows why being forced too early would make decisions less accurate
drift-diffusion
- if cut off decision making too early, haven’t collected sufficient evidence so some may be on the wrong side.
- if accumulated more evidence would get to the correct decision
what happens to drift diffusion if the 2 odours are similar
evidence is conflicting so drift up and down so the average drift to decision making bound is too slow
what adjusts the trade off between speed and accuracy
moving the decision bound