A fundamental goal of research in neuroscience is to uncover the causal structure of the
brain. This focus on causation makes sense, because causal information can provide …

The brain displays both the anatomical features of a vast amount of interconnected
topological mappings as well as the functional features of a nonlinear, metastable system at …

Self-referential cellular homeostasis is maintained by the measured assessment of both
internal status and external conditions based within an integrated cellular information field …

Brain activity takes place in three spatial-plus time dimensions. This rather obvious claim
has been recently questioned by papers that, taking into account the big data outburst and …

Cellular measurement is a crucial faculty in living systems, and exaptations are
acknowledged as a significant source of evolutionary innovation. However, the possibility …

Recent approaches to brain phase spaces reinforce the foremost role of symmetries and
energy requirements in the assessment of nervous activity. Changes in thermodynamic …

Contrary to common belief, the brain appears to increase the complexity from the perceived
object to the idea of it. Topological models predict indeed that:(a) increases in …

Brain electric activity exhibits two important features: oscillations with different timescales,
characterized by diverse functional and psychological outcomes, and a temporal power law …

We introduce a novel method for the measurement of information level in fMRI (functional
Magnetic Resonance Imaging) neural data sets, based on image subdivision in small …

Recent advances in neuroscience highlight the complexity of the central nervous system
(CNS) and call for general, multidisciplinary theoretical approaches. The aim of this chapter …