Table 1 Table of model parameters and their interpretations

From: Rapid learning of neural circuitry from holographic ensemble stimulation enabled by model-based compressed sensing

Symbol

Interpretation

Hyperparameters

Posterior

w

Connection strengths

u, b2

μ, Ω

snk

Presynaptic spike

–

λnk

\({\phi }_{n}^{0},\,{\phi }_{n}^{1}\)

Presynaptic sigmoid coefficients

v, L

νn, Σn

σ2

Observation noise variance

tsh, tra

θsh, θra

zk

Spontaneous synaptic current

  

yk

Observed response (integral of the PSC)

  

Ink

Laser power applied to neuron n on trial k

  

N (n)

Number of neurons (neuron index)

  

K (k)

Number of trials (trial index)

  

f

Sigmoid function

 Â