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The output of the MT-TENG can be further enhanced by miniaturizing the size of each single unit.
First, we normalized the total number of spike counts for every trial of each single unit constituting the pair of neurons (i and j) by converting them into z-scores.
Next we assessed how the firing of each single unit was related to the collective activity of the network in which it was embedded; we computed the population coupling of each unit15,30.
We demonstrate that by a proper design of a system comprising a perovskite solar cell (PSC) coupled to an electrochemical double-layer capacitor (EDLC), it is possible to simultaneously improve both the PSC and EDLC performance and outperform each single unit behavior.
Next, we quantified the "body coupling" of each neuron, i.e., how strongly each single unit's firing was related to the rat's body movements.
Specifically, cosine similarity was used for comparing each single unit's activity profiles to the CRPs obtained after NNMF-based decomposition.
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Spike times were adjusted to account for each single-unit's response latency (11 ms, 2.75 ms; median, inter-quartile range).
We calculated the SFC separately for each block (for each single-unit-LFP pair, n = 625).
Following this, the spontaneous rate of each single-unit was measured during 100 repeats of 1000 ms of silence using Brainware.
Sellers each bring a single unit of a good to the market while buyers can have values on bundles of goods.
Knowing the technological variability between duplicate units is important when collating data across multi-centre trials each with a single unit, or within-laboratory trials using multiple units.
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