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An alternative approach is to transform the stimulus to remove correlations before computing the reverse correlation estimate [3], [4].
For the LN model neuron described above we can transform the stimulus as follows: <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0003060.e010.PNG" class= inline-graphic"/> where Σ = inline-graphic1 g.
The accumulator model uses 9-parameters (described in Figure 2 figure supplement 1) to transform the stimulus on each trial (input to the model as the left and right click times) into a probability distribution about the choice of the rat.
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Taking the logarithm of the ratio between these probabilities, we transformed the stimulus value x into a LPR value (log probability ratio; eq 1).
From the perspective of brain computation, nonassociative learning is a form of integral-differential calculus whereas nonassociative gating is a form of Boolean logic operator – both dynamically transforming the stimulus-response relationship.
In addition, the heterogeneity of the signal-accepting ability caused by the differential expression of signaling molecules could enable ES cells to transform the same stimulus to different differentiation behaviors.
Humans' derivation of relations among stimuli can transform the functions of stimuli that participate in the relation.
Its value lies in providing a direct analysis of the specific procedures that influence relational responding and thereby transform the functions of stimuli.
Since the temporal response function defines a linear transform from the stimulus to the firing pattern, the decoded stimulus was then retrieved by convolving the firing pattern with the inverse temporal response function.
In a different approach, [47] used a learned nonlinear transform on the stimulus that converts the initial numerical representation of a stimulus value to a new representation that provides optimal input to the subsequent model.
Fit parameters were specified according to a right-weighted gumbel sigmoid fitted over a linear transform of the stimulus intensity values ("mw0.1" core).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com