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33 changes: 33 additions & 0 deletions README.md
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# Instructions

1. Copy all the folders in your computer.

2. Compile the mechanisms (in folder `../mechanism`) with command
`nrnivmodl` (model is currently linux/unix only)

3. This step is necessary only if some mechanism is changed by the user. In this version, the neurons are tuned with the current mechanisms. (Gómez et al, *Front Comput Neurosci* 2011)

For tuning the neuron:
a) Select the cell that you want to tune in file
`../experiment/tune-synapses/Simulation_gradient.hoc` in the variable `ID_cell=1,2...` (1=n123, 2=n125, 3=n128, 4=n129, 5=n130)
b) Execute the tuning (`../experiment/tune-synapses/sh run_simulation_gradient`) and copy output file in
`../junio/tuned-nXXX-trunk/`

4. Run simulation:

a) Select the cell that you want to study in file
`proximalCA1_1.hoc` in the variable `ID_cell=1,2...` (1=n123, 2=n125, 3=n128, 4=n129, 5=n130)
b) Select the Parameters inside
`../experiment/junio/ParameterFile.hoc`
c) Design the protocols inside
`../experiment/junio/ProtocolsFile.hoc`
d) Execute `../experiment/junio/sh run_ProtocolsFile.hoc`

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Gómez González JF, Mel BW, Poirazi P. Distinguishing Linear vs. Non-Linear Integration in CA1 Radial Oblique Dendrites: It's about Time. *Front Comput Neurosci*. 2011;5:44.
doi: 10.3389/fncom.2011.00044

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2025-07-07: Converted README to Markdown.
36 changes: 0 additions & 36 deletions readme.txt

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