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initial_notes
filippoferrari edited this page Jun 9, 2020
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Conversion and models equations
Subgroups for neurons -> use for a single neuron group with the different types of neurons split
State variables -> Export to pandas, maybe useful for some analysis
Tries automatically to detect the best method. It might produce NaN or wrong results -> Produces a warning
The definition of refractoriness consists of two components: the amount of time after a spike that a neuron is considered to be refractory, and what changes in the neuron during the refractoriness.
## Input Stimuli Poisson stimuli
Synaptic Connections -> Plot synaptic connections and variables
Uses conductange based synapses in the following way
# Reversal potentials
V_E = 0 * mV
V_I = -80 * mV
# Time constants
tau_E = 5 * ms
tau_I = 10 * ms
I_syn = g_E * (V_E - V) + g_I * (V_I - V)
dg_E/dt = -g_E*(1./tau_E) : siemens
dg_I/dt = -g_I*(1./tau_I) : siemens