Deep Media

Critical thoughts on hyperstition, madness, machines, and more from Germán Sierra — beginning 2016 with a paroxysm.

A networked timespace is a small piece of space-time produced by the synchronic “activation” of a discrete number of network elements by means of a particular performance. Networked timespaces are distributed (their space or size cannot be pre-determined) and they usually result in low-level disruptions within the metastable media network. Possible high-level disruptions are the result of unpredictable, undetermined events. While surface media are in a state of flux, moving in the realm of illusions, deep media … work on the basis that reality is contingent, unpredictable and ontologically multiple.


Back in January, Al Fin found this gem:

A growing body of research has identified the presence of multiple brain networks supporting human behavior. These networks include a salience network involving dorsal anterior cingulate and anterior insula regions thought to be relevant to attending to survival-relevant events in the environment; a central executive network (CEN) consisting of regions in the middle and inferior prefrontal and parietal cortices engaged by many higher level cognitive tasks and thought to be involved in adaptive cognitive control; and a default mode network (DMN) consisting of regions in medial frontal cortex and posterior cingulate, among others, that reliably reduce their activity during active cognitive demands and which may be involved in attention to internal emotional states or self-referential processing.

His gloss:

The model of 3 interacting brain networks — the Default Mode Network (mind wandering), the Salience Network (taking note of change or something of possible import), and the Central Executive Network (on-task focusing of attention) …

Meandering, (opportunistic) attention, and (focused) application — the three neural modes of temporalization.