lfp_atn

LFP analysis

Plot an animated example

python -m lib.plots

Using doit to run sets of code

doit list

Data considered

Openfield recordings

Only small arena recordings were considered to reduce variables. Recordings in the big square arena were not considered.

Control:

1. CSR1 - all small square recordings (not habituation) (6 days)
2. CSR2 - all small square recordings (not habituation) (6 days)
3. CSR3 - all small square recordings (not habituation) (6 days)
4. CSR4 - all small square recordings (9 days, 10 records)
5. CSR5 - all small square recordings and habituation (8 days, 9 records)
6. CSR6 - all small square recordings and habituation (9 days)

Lesion:

1. LSR1 - all small square recordings (not habituation) (6 days)
2. LSR3 - all small square recordings (not habituation) (6 days)
3. LSR4 - all small square recordings (9 days, 10 records)
4. LSR5 - all small square recordings (9 days, 10 records)
5. LSR6 - all small square recordings (8 days)
6. LSR7 - all small square recordings (9 days)

TODO

1. Decide if using screening recordings in CL.
2. Provide the command to merge all results and plots into one folder.

Some things to note

1. TODO list the parameters of the usual FIR filter used.
2. Delta is considered to be in the range 1.5 - 4 Hz.
3. Theta is considered to be in the range 6 - 10 Hz.

How to get everything to work currently

git clone https://github.com/seankmartin/SIMURAN
cd SIMURAN
pip install -e .
cd ..
git clone https://github.com/seankmartin/NeuroChaT
cd NeuroChaT
pip install -e .
cd ..
git clone https://github.com/seankmartin/PythonUtils
cd PythonUtils
pip install -e .
cd ..
git clone https://github.com/seankmartin/lfp_atn
cd lfp_atn
pip install -e .
cd ..