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Updated use cases #2

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154 changes: 154 additions & 0 deletions UC1_AIBS.md
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# Use Case 1 - Visual Change Detection (AIBS)

## Key Personnel/Points of Contact

* Marina Garrett
* Doug Ollerenshaw


## Metadata Focus Areas

### Task : Image Change Detection

This is a continuously-presented, flashed natural scene change detection
task. For each trial, a natural image is presented for 250ms followed
by 500ms of gray screen. On GO trials, a change in image identity
occurs and mice must lick within the 750ms (one trial sequence)
response window to receive a water reward. On CATCH trials, no
stimulus change occurs (same image presented again) and the behavioral
response is measured to quantify guessing behavior. In addition, to
test whether expectation signals were present in the visual cortex
during this task, \~5\% of all non-change flashes were omitted; this
corresponds to a gap in the regular timing of stimuli (was not done in
all sessions).

Session structure: Change-type was chosen based on predetermined
frequencies; For the natural image phase in which there were 64
change-pair possibilities (8 images in a set), CATCH frequency was set
to 12.5% (1/8 of the total number of transitions). To ensure even
sampling of all stimulus transitions, a transition path is selected
at random from a matrix of 1000 pre-generated paths. Each path takes a
pre-determined route through each of the 64 possible transitions,
including same-to-same, or catch, transitions.

Behavior sessions across all phases began with 5 free-reward
trials. To promote continued task engagement, a free reward was
delivered after 10 consecutive MISS trials.

Note: 'Trial' in this experiment refers to the occurrence of one
'change' or 'omission' or 'catch' transition? I would say just flashed
image+interstimulus interval,

Per session metadata:
* duration (~1 hr)
* image set (1 of 4)
* etc...

Per trial metadata:
* change type (GO, CATCH)
* change time (time/frame number)
* next_image (image identity [0..7])
* inter-change interval (time to next change)
* etc...


### Stimulus

**Image sets:**
* Modality: Visual
* Stimulus type: Natural images
* Variable parameters: Image identity
* 1 familiar image set and 3 different novel image sets
* Each image set is 8 natural images, for 32 images
* One set of images shown per individual session
* Images originated from 3 different databases of natural scene
images:
1. the Berkeley Segmentation Dataset (images 000, 005, 012, 013,
024, 031, 034, 035, 036, 044, 047, 045, 054, 057) (Strasburger et
al., 2011),
2. the van Hateren Natural Image Dataset (images 061, 062, 063,
065, 066, 069, 072, 073, 075, 077, 078, 085, 087, 091) (van
Hateren and van der Schaaf, 1998)
3. the McGill Calibrated Colour Image Database (images 104, 106,
114, 115) (Olmos and Kingdom, 2004).
* grayscale
* contrast normalized (?)
* matched to have equal mean luminance
* Size: 1174 X 918 pixels

**Device setup:**
* Monitor: ASUS PA248Q LCD
* Screen resolution: 1920 x 1200 pixels
* Mean screen luminance: 50 cd/m2
* Viewing distance: 15 cm from the mouse’s eye (spanned 120 deg X 95 deg
of visual space)
* Monitor orientation: rotated 30° relative to the animal’s midline and
tilted 70° off the horizon
* Eye of presentation: monocular (ipsi? contra?)


### Registration of spatial coordinates

* Visual areas identified by intrinsic signal imaging (should document
Marina's procedure? see ref)


### Genotype/strain metadata

* Male and female transgenic mice expressing GCaMP6f in:

1. VIP inhibitory interneurons (double transgenic: VIP-IRES-Cre x
Ai148 mice; https://www.jax.org/strain/010908,
https://www.jax.org/strain/030328) or;

2. Excitatory glutamatergic neurons (triple transgenic:
Slc17a7-IRES2-Cre x CaMKII-tTA x Ai93;
https://www.jax.org/strain/023527,
https://www.jax.org/strain/010712,
https://www.jax.org/strain/024108).



## Questions/Next steps

* How is the task transition matrix generated?
* Distribution of times to next image change? How computed?
* Talk to Marina about spatial registration for each unit? Are they
registering the visual area for each cell they image? Data was
pooled across areas, but should still have estimates
* Were image sets always the same (i.e. did Set 1 have the same 8
images always for each animal? Or did each animal get different
configurations of the 32 for each set?



## References

1. Marina E. Garrett, Sahar Manavi, Kate Roll, Douglas
R. Ollerenshaw, Peter A. Groblewski, Justin Kiggins, Xiaoxuan Jia,
Linzy Casal, Kyla Mace, Ali Williford, Arielle Leon, Stefan
Mihalas, Shawn R. Olsen. (2019) Experience shapes activity
dynamics and stimulus coding of VIP inhibitory and excitatory
cells in visual cortex. bioRxiv 686063. doi: https://doi.org/10.1101/686063

2. Strasburger H, Rentschler I, Jüttner M. (2011) Peripheral vision
and pattern recognition: A review. J Vis
11:1–82. doi: https://doi.org/10.1167/11.5.13

3. van Hateren JH, van der Schaaf A. (1998) Independent component
filters of natural images compared with simple cells in primary
visual cortex. Proc Biol Sci 265:359–366. doi:
https://doi.org/10.1098/rspb.1998.0303

4. Olmos A, Kingdom FAA. (2004) A biologically inspired algorithm for
the recovery of shading and reflectance images. Perception
33:1463–1473. doi: https://doi.org/10.1068/p5321








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# Use Case 2 - Motor Planning (Svoboda/MAP)

## Key Personnel/Points of Contact

* Karel Svoboda
* Nuo Li


## Metadata Focus Areas

### Task: Tactile delayed response task

The mouse must decide whether a metal pole is presented in an
anterior or posterior position, and after a delay, must lick a left or
right lickport with a water reward to indicate its choice.

1. A vertical pole moved into the plane within reach of the C2
whisker (0.2 s travel time). The pole remained within reach for 1
second, after which it was retracted. The retraction time was 0.2
second, of which the pole remained within reach in the first 0.1
second. The sample epoch is the time from onset of pole movement
to 0.1 s after the retraction onset of the pole (sample epoch, 1.3 s total).

2. The delay epoch lasted for another 1.2 seconds after the completion
of pole retraction (delay epoch, 1.3 s total). An auditory \'response\'
cue indicated the end of the delay epoch.

3. Licking the correct lickport after the auditory response cue led
to a small drop of liquid reward (3 μL).

4. Licking the incorrect lickport triggered a timeout (2-6 s).

5. Licking early during the trial was punished by a loud \'alarm\'
sound, followed by a brief timeout (1-1.2 s). Continued licking
triggered additional timeouts; these trials were excluded from the
analyses (“lick early” trials).

This task could also be modified several ways: 1) removing the delay
period (allows faster training); 2) using a row of whiskers instead of
just a single one; 3) using a motorized lickport that is presented
when the response period begins instead of a go tone; 4) using a
sucrose-sweetened reward instead of plain water (sometimes interleaved
sesssion-wise).


#### Variation: Lick/No-lick Location Discrimination task

Used in training, to train mice to use a single whisker (typically C2)
to locate a vertical pole for a water reward. Similar to the
left/right task, with the following changes:

1. Only one lick spout centered on midline.
2. The no-lick position was a single anterior pole location. The lick
position is one, or multiple, relatively posterior pole locations.
3. Movement of the pole took 0.5 s, after which the animal was
given 2.5 s to search for the object with its whisker and indicate
object location by licking or withholding licking.
4. The mouse is given a grace period (0.5–1.5 s) from onset of pole
movement where licking does not signal the response outcome.
5. Hits triggered opening of a water valve to deliver approximately
8uL of water.
6. Two seconds after the answer lick, the pole retracted and the
intertrial period begins (~2s).
7. On false alarm trials the mouse is given a timeout, typically
2–5s, which retriggered on any additional licks during the
timeout. If no lick occurred during the response window, the trial
was scored as a miss (lick trial) or a correct rejection (no-lick
trial).


Per session metadata:
* Inter-trial period duration
* reward volume (~4uL)
* reward type (water/sucrose-water, interleaved daily)

Per trial metadata:
* Pole position
* ...



### Stimulus

Should check individual MAP references to see variations in pole
positions used (see Guo et al, sometimes multiple pole positions used
all corresponding to one 'lick' condition, in training etc.)

* Modality: Somatosensory/Auditory
* Stimulus type: Metal pole
* Variable parameters: Pole position (A/P)
* 'Go' (response) tone (pure tone, 3.4 kHz, 0.1 s duration)

From Nuo: 'The stimulus is a pole (0.9 mm in diameter), presented at
one of two possible positions. The two pole positions were 4.29 mm
apart along the anterior-posterior axis (40 deg of whisking angle) and
were constant across sessions. The posterior pole position was 5 mm
from the whisker pad.'

From Guo et al: 'We have also observed that the distance of the pole
from the whisker pad has a large impact on performance. The whisker is
linearly tapered and its bending stiffness decreases gradually with
distance from the whisker pad over five orders of magnitude.'



### Registration of spatial coordinates

* Nathan and Alan (Vidriotech) told us that for the visualizations
that Dave Liu showed at his poster they are using an older version
of the mouse CCF, not sure why? This is for the Neuropixels data.



### Genotype/strain metadata

From Li et al (2015), 52 mice in total:

1. VGAT-ChR2- EYFP mice (Jackson laboratory, JAX Stock #014548)

2. PV-ires-Cre45 crossed to Rosa26-LSL-ReaChR, red-shifted
channelrhodopsin reporter mice (JAX 28846), were used for
photoinhibition experiments.

3. Sim1_KJ18-Cre mice (MMRRC 031742), Rbp4-Cre mice (MMRRC 031125),
and Tlx_PL56-Cre mice (MMRRC 036547) were used for
electrophysiology experiments.

4. C57Bl/6Crl mice were used for imaging experiments.

5. Sim1_KJ18- Cre crossed to Ai32 (Rosa26-ChR2 reporter mice, JAX
Stock #012569) mice were used for photoactivation behavioural
experiments, and one of these mice was also used for
electrophysiology.

6. Tlx_PL56-Cre crossed to Ai32 mice were used for photoactivation
behaviour experiments and two of these mice were also used for
electrophysiology.

7. Sim1_KJ18-Cre, Tlx_PL56- Cre, C57B1/6Crl, Sim1_KJ18-Cre 3
Ai32, and Tlx_PL56-Cre 3 Ai32 mice were used for anatomy
experiments.

And viral injections:

1. 'To characterize BAC Cre mice we injected eGFP
(AAV2/1.CAG.EGFP, http://www.addgene.com, plasmid 28014) into one
hemisphere and Cre-dependent tdTomato (AAV2/1.CAG.FLEX.tdTomato.WPRE,
UPenn Viral Core, AV-1-ALL864) into ALM on the other hemisphere.'

2. 'To optogenetically tag ALM intratelencephalic and pyramidal tract
neurons during recording, we first infected ALM neurons with
ChR2. Cre-dependent ChR2 virus (AAV2/5.hSyn1.FLEX.hChR2.tdTomato,
http://www.addgene.com, plasmid 41015) was injected into three
Rbp4-Cre mice (targeting both layer5 intratelencephalic and
pyramidal tract neurons), four Tlx_PL56-Cre mice (layer 5 intrate-
lencephalic neuron), and nine Sim1_KJ18-Cre mice (pyramidal tract
neurons). One-hundred-nanolitre volumes were injected 500 and 800
mm deep. We also used two Tlx_PL56-Cre cross Ai32 transgenic mice
for antidromic tagging of intratelencephalic neurons.'

3. 'AAV2/1-syn-GCaMP6s-WPRE virus (UPenn Viral Core, AV-1-PV2824) was
diluted two- to sixfold in HEPES buffered saline. Injections were
made at three to five locations centred around ALM (separated by
,400 mm) and at three depths (210/370/530 mm) for each location
(,5–6 nl per depth)'


## Questions/Next steps

* Is this all the mouse strains/genetic tools they use? Check most
recent papers/ask Nuo.
* Nuo has given us an FSM implementation of the left/right task (see PDF).



## References

1. Guo, Z. V. et al. Procedures for behavioral experiments in
head-fixed mice. PloS One 9, e88678 (2014).

2. Li, N., Chen, T. W., Guo, Z. V., Gerfen, C. R. & Svoboda, K. A
motor cortex circuit for motor planning and movement. Nature 519,
51-56 (2015).










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