Yonatan Sanz Perl

About Yonatan Sanz Perl

Yonatan Sanz Perl, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Universidad de Buenos Aires, specializes in the field of Nonlinear Dynamics, Neuroscience, Geomechanics.

His recent articles reflect a diverse array of research interests and contributions to the field:

The Thermodynamics of Mind

Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition

The evolution of whole-brain turbulent dynamics during recovery from traumatic brain injury

Turbulent dynamics and whole-brain modeling: toward new clinical applications for traumatic brain injury

Transient destabilization of whole brain dynamics induced by DMT

Functional hierarchies in brain dynamics characterized by signal reversibility in ferret cortex

The fluctuation-dissipation theorem and the discovery of distinctive off-equilibrium signatures of brain states

Generative whole-brain dynamics models from healthy subjects predict functional alterations in stroke at the level of individual patients

Yonatan Sanz Perl Information

University

Position

___

Citations(all)

1058

Citations(since 2020)

848

Cited By

326

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

26

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Yonatan Sanz Perl Skills & Research Interests

Nonlinear Dynamics

Neuroscience

Geomechanics

Top articles of Yonatan Sanz Perl

The Thermodynamics of Mind

2024/4/26

Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition

Alzheimer's Research & Therapy

2024/4/11

The evolution of whole-brain turbulent dynamics during recovery from traumatic brain injury

Network Neuroscience

2024/4/1

Turbulent dynamics and whole-brain modeling: toward new clinical applications for traumatic brain injury

2024/3/25

Transient destabilization of whole brain dynamics induced by DMT

bioRxiv

2024/1/29

Functional hierarchies in brain dynamics characterized by signal reversibility in ferret cortex

PLOS Computational Biology

2024/1/19

The fluctuation-dissipation theorem and the discovery of distinctive off-equilibrium signatures of brain states

bioRxiv

2024

Generative whole-brain dynamics models from healthy subjects predict functional alterations in stroke at the level of individual patients

bioRxiv

2024

The lack of temporal brain dynamics asymmetry as a signature of impaired consciousness states

Interface Focus

2023/4/14

Model-based whole-brain perturbational landscape of neurodegenerative diseases

Elife

2023/3/30

Temporal irreversibility of neural dynamics as a signature of consciousness.

Cerebral Cortex

2023/3/1

Temporal irreversibility of large-scale brain dynamics in Alzheimer’s disease

Journal of Neuroscience

2023/3/1

Toward naturalistic neuroscience: Mechanisms underlying the flattening of brain hierarchy in movie-watching compared to rest and task

Science Advances

2023/1/13

Whole-brain modelling supports the use of serotonergic psychedelics for the treatment of disorders of consciousness

bioRxiv

2023

Dynamical structure-function correlations provide robust and generalizable signatures of consciousness in humans

bioRxiv

2023

Whole-brain modelling of low-dimensional manifold modes reveals organising principle of brain dynamics

bioRxiv

2023

Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation

bioRxiv

2023

Violations of the fluctuation-dissipation theorem reveal distinct nonequilibrium dynamics of brain states

Physical Review E

2023/12/26

Dynamic sensitivity analysis: Defining personalised strategies to drive brain state transitions via whole brain modelling

2023/1/1

The arrow of time of brain signals in cognition: Potential intriguing role of parts of the default mode network

Network Neuroscience

2023/10/1

See List of Professors in Yonatan Sanz Perl University(Universidad de Buenos Aires)

Co-Authors

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