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Kepecs et al. [33] and Kepecs and Lisman [34] have shown a correspondence between n and input slope, claiming that the quantity encoded in burst size was the local slope.
Formally, the definition above can be expressed in a cumbersome but general way as follows: For all contexts j in which a given motion primitive is observed and any neuron n, we can compute the mean distance μ j, n between n and input vectors sampled from some j as well as the associated standard deviation σ j, n.
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The mapping between n and stimulus phase remains roughly invariant throughout a broad range of cut-off frequencies (see supporting Figure S4), and is not easily perturbed by input noise (Figure 8).
Fig. 5 Comparison between N and DIN inputs from nonpoint and point sources.
Interaction between N and P inputs demonstrated significant effect on BPH body weight.
In order for a neural code based on the number of spikes per burst to be useful, the mapping between n and the encoded stimulus feature must not depend strongly on the properties of the input signal.
We investigate the relation between output voltage u ( t ) = u n ( t ) and input voltage u 0 ( t ).
The relationship between higher-order nonlinear distortion components C n /ξ and input backoff for (a) soft envelope limiter model and (b) the erf model.
The N-surplus per hectare was calculated as N-input (net N-purchase and inputs from biological N-fixation, atmospheric deposition and free rangeland) minus N in produce (sold milk and meat gain), and the N-surplus per unit of N-produce as net N-input divided by N in produce.
According to Figure 2, it comprises two available inputs: a primary input d(n) and a reference input N1(n).
Distance-based reconstruction algorithms tackle this task by first computing a set of n 2 pairwise distances between the n input samples and then finding a tree which fits these distances.
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