This code repo provides simulation of high-dimensional stimulation's effects on local neurons in a cortical column model. The simulation is used to demonstrate our point of view that, by applying high-dimensional stimulation, we can indeed approach the high dimensionality of evoked neural activities similar to those during spontaneous/natural behaviors.
- run_deterministic_stim_corcol_sim.py -- run simulations with deterministic stim on random neuronal circuits.
- run_random_stim_corcol_sim.py -- run simulations with random stim on circuits mimicking a layered cortical column (TODO: perform dim reduc on readout; needs a little bit additional time because the output spike train format is different from
run_random_stim_sim.py)
- plot_psths.py -- plot peri-stimulus time histograms of simulated stimulation pulses.
- analyze_different_configs.py -- Analyze and compare stimulation patterns with different dimensionalities
- NEST simulation environment
- Numpy/Scipy/Matplotlib