Entraining IDyOT: Timing in the Information Dynamics of Thinking

Abstract

We present a novel hypothetical account of entrainment in music and language, in context of the Information Dynamics of Thinking model, IDyOT. The extended model affords an alternative view of entrainment, and its companion term, pulse, from earlier accounts. The model is based on hierarchical, statistical prediction, modeling expectations of both what an event will be and when it will happen. As such, it constitutes a kind of predictive coding, with a particular novel hypothetical implementation. Here, we focus on the model's mechanism for predicting when a perceptual event will happen, given an existing sequence of past events, which may be musical or linguistic. We propose a range of tests to validate or falsify the model, at various different levels of abstraction, and argue that computational modeling in general, and this model in particular, can offer a means of providing limited but useful evidence for evolutionary hypotheses.

Towards a Deep Improviser: a prototype deep learning post-tonal free music generator

“…The present Deep Improviser, while yet shallow, when comprised of CNN and RNN probably imitates some of the sequential aspects of time series models. But we also plan in the longer run to integrate Deep Improviser with algorithmic approaches based on information theoretic and perceptual decision-making models [46,47].…”

Interacting Conceptual Spaces I: Grammatical Composition of Concepts

“…Examples of these are Nengo (Eliasmith, 2013), neural blackboard architectures (Van der Velde and De Kamps, 2006), and the previously mentioned Smolensky and Legendre (2006). Further, the use of conceptual spaces in cognitive architectures is an area of active research, as seen in, for example, Forth et al (2016); Lieto et al (2017). Whilst the current work does not model key aspects of human cognition such as dynamics or action selection, it provides a model of compositionality that can be utilized by these architectures in representing inputs and how they may combine to form novel representations.…”

Prior context influences motor brain areas in an auditory oddball task and prefrontal cortex multitasking modelling

“…Bearing in mind eye movement research in response to auditory experiment has shown results in pupil dilation response [45], the present ndings on motor modulation of attentional processing would we extended by a broader motor response. Moreover, the model would modify the Information Dynamics of Thinking (IDyOT) model for language and music of Forth and colleagues [44] may bear in mind previous motor response and unexpected external stimulus. Forth and colleagues proposed a mechanism for predicting when a perceptual event will happen, given an existing sequence of past events, which may be musical or linguistic [44].…”

“…Moreover, the model would modify the Information Dynamics of Thinking (IDyOT) model for language and music of Forth and colleagues [44] may bear in mind previous motor response and unexpected external stimulus. Forth and colleagues proposed a mechanism for predicting when a perceptual event will happen, given an existing sequence of past events, which may be musical or linguistic [44].…”