Initial plan

The TMNT are back for Project 2! Unless we get a new name idk.

What is this repository for?

Saucy remarks about highly gifted people
Baltimore food recommendations

Rough classifications of cells

These are based on spike positions. One thing to consider is how often the rat was in the position bc that would affect spike count.

Cell 1: Grid cell (5 fields)
Cell 2: Grid cell (3 fields)
Cell 3: MM (multimodal place cells)
Cell 4: Grid and MM
Cell 5: MM
Cell 6: Place + border conjuctive cell
Cell 7: Place + border conjunctive cell
Cell 8: Place cell (with field in middle)
Cell 9: Place cell
Cell 10: MM

The plan

classify cells
mess around w/different covariates to learn how they work
match up the covariate sets to the cell groups & refine
also Simon do you understand how glmfit actually works bc that would be helpful. Jing and I are confused.

17NOV28

Things to add [1/6]

[X] calculate movement speed
[ ] check formula for phi, movement direction
[ ] plot the GLM fits of x velocity, y velocity, movement speed and heading direction along with the occupancy normalised histograms
[ ] Construct confidence intervals about your model conditional intensity
[ ] Characterize the relative goodness-of-fit among competing models i.e. deviance against the number of parameters (AIC)
[ ] Characterize the goodness-of-fit between data and model (KS statistic and KS plot)

17NOV29

History dependence

to be safe, history dependence of 3 and above

Neuron 1

[X] 1-29 ms
[X] 102-106 ms
130-134 ms

Neuron 2:

[X] 1-22 ms
[X] 106-111 ms
123-127 ms
- 254-259 ms

Neuron 3

[X] 5-18 ms
[X] 110-114 ms
- 155-156 ms

Neuron 4

[X] 1-21 ms
[X] 23-29 ms
[X] 92-98 ms
[X] 104-108 ms

Neuron 5

[X] 5-20 ms
[X] 25-29 ms
[X] 88-92 ms
105-129 ms
134-138 ms

Neuron 6

[X] 7-18 ms
99-105 ms
107-112 ms
143-149 ms

Neuron 7

[X] 8-21 ms
118-128 ms

Neuron 8

[X] 9-23 ms
117-119 ms
131-133 ms

Neuron 9

[X] 7-32 ms
100-103 ms
108-110 ms
131-133 ms

Neuron 10

[X] 7-33 ms
107-121 ms
124-137 ms