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. 2020 Jun 28;22(7):714. doi: 10.3390/e22070714
RBM Restricted Boltzmann Machine
FIM Fisher Information Matrix
v ‘Visible stimulus’ pattern, the input to a neural sensory encoder
h ‘Hidden activation’ pattern of stimulus-driven binary neural activity (interpreted as spiking)
W The weight matrix for an RBM mapping visible activations to hidden-unit drive
Bh The biases on the hidden units for an RBM
Bv The biases on the visible units for an RBM
ϕ Parameters {W,Bh,Bv} associated with an RBM model
E ‘Energy’, defined here as negative log-probability
H ‘Entropy’, in the Shannon sense
Eh,v The log-probability of simultaneously observing stimulus v and neural pattern h
Hh|v The entropy of the distribution of neural patterns h evoked by stimulus v
VE Set of input stimuli with similar energy (log-probability i.e., bitrate)
Tc The critical temperature of an RBM interpreted as an Ising spin model
β Inverse temperature