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20162021
most citedThe Global Dynamical Complexity of the Human Brain Network

19 citations · 34 across the 10 of their papers we have counts for

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6 papers · 1 filter

q-bio.NC2018

Measuring the Complexity of Consciousness

Xerxes D. Arsiwalla, Paul Verschure

The quest for a scientific description of consciousness has given rise to new theoretical and empirical paradigms for the investigation of phenomenological contents as well as clin…

q-bio.NC2017

Cerebellar-Inspired Learning Rule for Gain Adaptation of Feedback Controllers

Ivan Herreros, Xerxes D. Arsiwalla, Cosimo Della Santina +3

How does our nervous system successfully acquire feedback control strategies in spite of a wide spectrum of response dynamics from different musculo-skeletal systems? The cerebellu…

q-bio.NC2017

The Morphospace of Consciousness

Xerxes D. Arsiwalla, Ricard Sole, Clement Moulin-Frier +3

We construct a complexity-based morphospace to study systems-level properties of conscious & intelligent systems. The axes of this space label 3 complexity types: autonomous, cogni…

q-bio.NC2017★ 3 cited

Scaling Properties of Human Brain Functional Networks

Riccardo Zucca, Xerxes D. Arsiwalla, Hoang Le +2

We investigate scaling properties of human brain functional networks in the resting-state. Analyzing network degree distributions, we statistically test whether their tails scale a…

q-bio.NC2017★ 1 cited

A Forward Model at Purkinje Cell Synapses Facilitates Cerebellar Anticipatory Control

Ivan Herreros-Alonso, Xerxes D. Arsiwalla, Paul F. M. J. Verschure

How does our motor system solve the problem of anticipatory control in spite of a wide spectrum of response dynamics from different musculo-skeletal systems, transport delays as we…

q-bio.NC2016★ 19 cited

The Global Dynamical Complexity of the Human Brain Network

Xerxes D. Arsiwalla, Paul Verschure

How much information do large brain networks integrate as a whole over the sum of their parts? Can the dynamical complexity of such networks be globally quantified in an informatio…