initial_notes

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Brian2

Documentation

Conversion and models equations

Models and groups of neurons

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

Numerical integration

Tries automatically to detect the best method. It might produce NaN or wrong results -> Produces a warning

Equations

Symbols for equations

Refractoriness

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

Code generation

C++ Code Generation

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Brian2Tools

Synaptic Connections -> Plot synaptic connections and variables

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Thomas Stone CX

CX Brian

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Brain2 benchmark

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