Representational dynamics of number processing in symbolic and non-symbolic formats

Stimulus (psychology) Similarity (geometry)
DOI: 10.1167/18.10.827 Publication Date: 2018-09-29T01:39:37Z
ABSTRACT
The human brain can rapidly form number representations from a variety of visual formats including digits, words, and dot displays. While an extensive literature has investigated where these symbolic non-symbolic are formed in the brain, less is known about temporal aspects this process. Here, we explored emergence by applying multivariate pattern analyses to MEG data. Participants (n = 22) encoded magnitude visually presented numbers across three different (digits, displays). First, how quickly forms individual input, if differs between presentation. We used support vector machine (SVM) classify within each format at time point. SVM results revealed peak decoding 110-120ms following stimulus presentation formats. Next, assessed whether shape models could explain variance neural response stimuli. Representational similarity (RSA) were compare responses. RSA yielded highest correlations model around same point as accuracy - 120ms for 135ms With regard model, found points depending on 170ms 70ms Thus, both These emerge concurrently with information, while information appears drive signal more format-specific manner. Meeting abstract VSS 2018
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