…to improve performance and reliability.
Reliability
5 results
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How much data is enough to reliably measure individual differences in cognition?
…In this context, understanding the reliability of the measures we use in cognitive neuroscience has never been more important. Tasks designed to study individual differences must reliably differentiate participants at the individual rather than the group level. Yet assessing the reliability of a given dataset, and even more so optimizing the design of a new behavioural t
The Problem of Testimony
…trying to work out and factor in the reliability of their sources. In particular, it is shown how and why this task admits of no easy solution in the context of wider communication networks, and how this will affect the accuracy of our beliefs. The implications of this for the shift in the size and topology of our communication networks through the uncontrolled rise of social media are discussed.
Wed, May 4, 2022 · 14:00 UTC
Commonly used face cognition tests yield low reliability and inconsistent performance: Implications for test design, analysis, and interpretation of individual differences data
Unfamiliar face processing (face cognition) ability varies considerably in the general population. However, the means of its assessment are not standardised, and selected laboratory tests vary between studies. It is also unclear whether 1) the most commonly employed tests are reliable, 2) participants show a degree of consistency in their performance, 3) and the face cognition tests broadly measure one underlying ability, akin to general intelligence. In this study, we asked participants to perform eight tests frequently employed in the individual differences literature. We examined the reliab
Thu, Jan 20, 2022 · 16:00 UTC
Error correction and reliability timescale in converging cortical networks
Rapidly changing inputs such as visual scenes and auditory landscapes are transmitted over several synaptic interfaces and perceived with little loss of detail, but individual neurons are typically “noisy” and cortico-cortical connections are typically “weak”. To understand how information embodied in spike train is transmitted in a lossless manner, we focus on a single synaptic interface: between pyramidal cells and putative interneurons. Using arbitrary white noise patterns injected intra-cortically as photocurrents to freely-moving mice, we find that directly-activated cells exhibit precisi
Thu, Apr 29, 2021 · 15:00 UTC