activity
20032026
most citedDegenerate Stars and Gravitational Collapse in AdS/CFT

73 citations · 200 across the 36 of their papers we have counts for

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Showing 2017Show all

7 papers · 1 filter

cs.AI2017

A correlational analysis of multiagent sensorimotor interactions: clustering autonomous and controllable entities

M. Sánchez-Fibla, C. Moulin-Frier, X. Arsiwalla +1

A first step to reach Theory of Mind (ToM) abilities (attribution of beliefs to others) in synthetic agents through sensorimotor interactions, would be to tag sensory data with age…

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…

cs.NE2017★ 2 cited

Spectral Modes of Network Dynamics Reveal Increased Informational Complexity Near Criticality

Xerxes D. Arsiwalla, Pedro A. M. Mediano, Paul F. M. J. Verschure

What does the informational complexity of dynamical networked systems tell us about intrinsic mechanisms and functions of these complex systems? Recent complexity measures such as…

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…

cs.AI2017

Embodied Artificial Intelligence through Distributed Adaptive Control: An Integrated Framework

Clément Moulin-Frier, Jordi-Ysard Puigbò, Xerxes D. Arsiwalla +2

In this paper, we argue that the future of Artificial Intelligence research resides in two keywords: integration and embodiment. We support this claim by analyzing the recent advan…

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…