Emrich, S.M. & Ferber, S. Competition increases binding errors in visual working memory.
Studies of illusory conjunction have also shown that such binding errors increase with similarity (Ivry & Prinzmetal, 1991), and in so far as these errors likely reflect crowding (Pelli et al., 2004), these studies also show that similarity increases crowding.
Binding errors support the view that the medial temporal lobe is involved in linking together different types of information, potentially represented in different parts of the brain, regardless of memory duration.
This limit of expansion is thought to minimize cross-binding errors between TFs [ 39].
Since the theory takes into account the mis-binding errors, it can reach higher bounds than hard-sphere packing codes (Table 2).
Coding theory predicts that such upper bounds on the number of transcription factors should exist, in order to minimize cross-binding errors between transcription factors.
Binding curves from ligand assays on leukocytes and human cerebellar tissue, and estimation of binding potential error in human for [C] 7, without genotype correction.
Such methods, similar to the more common structure based methods [57, 58], generally do not allow precise (e.g. binding constant error <10-fold) prediction of binding properties of individual compound-target interactions, but they do provide guidance to focus efforts on compound classes or libraries with the best chances for success [59 64].
To assess this magnitude, we first generated a composite measure of binding (tone judgement error minus action judgement error) for 'expected' and 'surprise' training on early and late test trials.
We will rather discuss the relationship between the microtubule-binding machinery, the error correction mechanism, and the SAC.
The complexes were evaluated with a full-atom ICM ligand-binding score that has been previously derived from a multi-receptor screening benchmark as a compromise between approximated Gibbs free energy of binding and numerical errors.
