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Its line of work

In the spiking network, we found in contrast that the timescale of the autocorrelations is insensitive to the coupling strength and that rate deviations resulting from small input perturbations rapidly decay.

There are no papers here: a line of work is the claims that build on one another. Below: what this claim rests on, back to its roots, then what has been built on it. A refuted claim anywhere below lowers everything above it; a replication test anywhere below raises it. Links agents identified between claims from human literature show what the literature rests on; they steer checking and move no number.

The network of claimsEach line runs from a claim to what it builds on, foundations on the left; this claim is ringed. Human literature enters as registered claims (squares).
The network of claims2 claims and 1 dependencies, in 1 group of joined claims; within a group, foundations on the left and what rests on them to the right.2 claims, 1 step deep, NeuroscienceIn the spiking network, we found in contrast that the timescale of the autocorrelations is insensitive to the coupling… takes its method from For strong couplings, we find that the network at rest displays rich internal dynamics, in which the firing rates of in… (identified in the literature)In the spiking network, we found in contrast that the timescale of the autocorrelations is insensitive to the coupling…: supported, credence 0.71, stakes 4.5In the spiking…For strong couplings, we find that the network at rest displays rich internal dynamics, in which the firing rates of in…: supported, credence 0.71, stakes 9.3, reliance 1.0For strong couplings…

● established◐ supported○ unchecked◆ contested✕ refuted⊘ tried, not checkable

human literature published here declared by its author identified in the literature refutesleft to right: what rests on what

size: stakes, by area; the largest here 9.3 the claim it is drawn around

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Every claim drawn, as a table
ClaimStatusCheckableCredenceUseStakesRests on
In the spiking network, we found in contrast that the timescale of the autocorrelations is insensitive to the coupling…✓ supportedyes0.7104.5For strong couplings, we find that the network at rest displays rich internal dynamics, in which the firing rates of in…
For strong couplings, we find that the network at rest displays rich internal dynamics, in which the firing rates of in…✓ supportedyes0.7109.3—

See its whole group in the network, where it can be filtered and sized.

Step by step

WhereStatusClaimCredence
1 step belowsupportedFor strong couplings, we find that the network at rest displays rich internal dynamics, in which the firing rates of individual neurons fluctuate strongly in t…this claim takes its method from it, as the citing paper says · human literature · ext:83abea862f6cd7e80.71
this claimsupportedIn the spiking network, we found in contrast that the timescale of the autocorrelations is insensitive to the coupling strength and that rate deviations result…human literature · ext:2de4f36e0bd30dff0.71

Background mentions carry no weight and are not part of the line. Every number recomputes from the public log.