The meta-metaverse: ideation and future directions

M Jamshidi, A Dehghaniyan Serej, A Jamshidi… - Future Internet, 2023 - mdpi.com
In the era of digitalization and artificial intelligence (AI), the utilization of Metaverse
technology has become increasingly crucial. As the world becomes more digitized, there is a …

Unveiling universal aspects of the cellular anatomy of the brain

HS Ansell, IA Kovács - Communications Physics, 2024 - nature.com
Recent cellular-level volumetric brain reconstructions have revealed high levels of anatomic
complexity. Determining which structural aspects of the brain to focus on, especially when …

Box-counting fractal analysis: A primer for the clinician

AL Karperien, HF Jelinek - The fractal geometry of the brain, 2024 - Springer
This chapter lays out the elementary principles of fractal geometry underpinning much of the
rest of this book. It assumes a minimal mathematical background, defines the key principles …

Non-trivial relationship between behavioral avalanches and internal neuronal dynamics in a recurrent neural network

A Rabus, M Masoliver, AJ Gruber, W Nicola… - … Journal of Nonlinear …, 2024 - pubs.aip.org
Neuronal activity gives rise to behavior, and behavior influences neuronal dynamics, in a
closed-loop control system. Is it possible then, to find a relationship between the statistical …

Multifractality in Surface Potential for Cancer Diagnosis

PK Huynh, D Nguyen, G Binder… - The Journal of …, 2023 - ACS Publications
Recent advances in high-resolution biomedical imaging have improved cancer diagnosis,
focusing on morphological, electrical, and biochemical properties of cells and tissues …

[HTML][HTML] Fast updating feedback from piriform cortex to the olfactory bulb relays multimodal reward contingency signals during rule-reversal

DH Trejo, A Ciuparu, PG da Silva, CM Velasquez… - bioRxiv, 2023 - ncbi.nlm.nih.gov
While animals readily adjust their behavior to adapt to relevant changes in the environment,
the neural pathways enabling these changes remain largely unknown. Here, using …

Autism spectrum disorder diagnosis using fractal and non-fractal-based functional connectivity analysis and machine learning methods

C Rakshe, S Kunneth, S Sundaram… - Neural Computing and …, 2024 - Springer
Autism spectrum disorder (ASD) is a neurological condition characterized by impaired
functional connectivity (FC) networks in the brain. There are several brain networks …

Multifractal long-range dependence pattern of functional magnetic resonance imaging in the human brain at rest

S Guan, R Jiang, DY Chen, A Michael, C Meng… - Cerebral …, 2023 - academic.oup.com
Long-range dependence is a prevalent phenomenon in various biological systems that
characterizes the long-memory effect of temporal fluctuations. While recent research …

Hippocampal and Medial Prefrontal Cortex Fractal Spiking Patterns Encode Episodes and Rules

A Srinivasan, A Srinivasan, MR Goodman… - Chaos, Solitons & …, 2023 - Elsevier
A central question in neuroscience is how the brain represents and processes information to
guide behavior. The principles that organize brain computations are not fully known, and …

Inter-individual variability during neurodevelopment: an investigation of linear and nonlinear resting-state EEG features in an age-homogenous group of infants

S Davoudi, T Schwartz, A Labbe, L Trainor… - Cerebral …, 2023 - academic.oup.com
Electroencephalography measures are of interest in developmental neuroscience as
potentially reliable clinical markers of brain function. Features extracted from …