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Related papers: The Financial Connectome: A Brain-Inspired Framewo…

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Functional Magnetic Resonance Imaging (fMRI) is an imaging technique widely used to study human brain activity. fMRI signals in areas across the brain transiently synchronise and desynchronise their activity in a highly structured manner,…

Machine Learning · Computer Science 2025-08-12 Yiran Huang , Amirhossein Nouranizadeh , Christine Ahrends , Mengjia Xu

Functional MRI (fMRI) and diffusion MRI (dMRI) are non-invasive imaging modalities that allow in-vivo analysis of a patient's brain network (known as a connectome). Use of these technologies has enabled faster and better diagnoses and…

Machine Learning · Computer Science 2016-12-06 Colin J Brown , Ghassan Hamarneh

Brain organization is increasingly characterized through multiple imaging modalities, most notably structural connectivity (SC) and functional connectivity (FC). Integrating these inherently distinct yet complementary data sources is…

Machine Learning · Computer Science 2026-01-27 Yifei Zhang , Meimei Liu , Zhengwu Zhang

Functional connectome extends the anatomical connectome by capturing the relations between neurons according to their activity and interactions. When these relations are causal, the functional connectome maps how neural activity flows…

Neurons and Cognition · Quantitative Biology 2020-11-10 Rahul Biswas , Eli Shlizerman

Financial technology (FinTech) has drawn much attention among investors and companies. While conventional stock analysis in FinTech targets at predicting stock prices, less effort is made for profitable stock recommendation. Besides, in…

Machine Learning · Computer Science 2021-06-21 Yi-Ling Hsu , Yu-Che Tsai , Cheng-Te Li

Advances in data analysis and machine learning have revolutionized the study of brain signatures using fMRI, enabling non-invasive exploration of cognition and behavior through individual neural patterns. Functional connectivity (FC), which…

Image and Video Processing · Electrical Eng. & Systems 2025-10-31 Yashaswini , Sanjay Ghosh

We present a novel agent-based approach to simulating an over-the-counter (OTC) financial market in which trades are intermediated solely by market makers and agent visibility is constrained to a network topology. Dynamics, such as changes…

Econometrics · Economics 2024-05-07 James T. Wilkinson , Jacob Kelter , John Chen , Uri Wilensky

The aim of this paper is threefold. We inform the AI practitioner about the human visual system with an extensive literature review; we propose a novel biologically motivated neural network for image classification; and, finally, we present…

Computer Vision and Pattern Recognition · Computer Science 2024-09-09 Gianluca Carloni , Sara Colantonio

A key question in modern neuroscience is how cognitive changes in a human brain can be quantified and captured by functional connectomes (FC) . A systematic approach to measure pairwise functional distance at different brain states is…

Neurons and Cognition · Quantitative Biology 2018-09-26 Enrico Amico , Alex Arenas , Joaquin Goni

This research report introduces ElegansNet, a neural network that mimics real-world neuronal network circuitry, with the goal of better understanding the interplay between connectome topology and deep learning systems. The proposed approach…

Neural and Evolutionary Computing · Computer Science 2024-04-01 Francesco Bardozzo , Andrea Terlizzi , Pietro Liò , Roberto Tagliaferri

Sensory predictions by the brain in all modalities take place as a result of bottom-up and top-down connections both in the neocortex and between the neocortex and the thalamus. The bottom-up connections in the cortex are responsible for…

Neural and Evolutionary Computing · Computer Science 2020-04-14 Leendert A Remmelzwaal , Amit K Mishra , George F R Ellis

In systems and network neuroscience, many common practices in brain connectomic analysis are often not properly scrutinized. One such practice is mapping a predetermined set of sub-circuits, like functional networks (FNs), onto subjects'…

In this article we propose a study of market models starting from a set of axioms, as one does in the case of risk measures. We define a market model simply as a mapping from the set of adapted strategies to the set of random variables…

Mathematical Finance · Quantitative Finance 2015-12-08 Mario Sikic

The connectome describes the complete set of synaptic contacts through which neurons communicate. While the architecture of the $\textit{C. elegans}$ connectome has been extensively characterized, much less is known about the organization…

Neurons and Cognition · Quantitative Biology 2025-09-18 Sophie Dvali , Caio Seguin , Richard Betzel , Andrew M. Leifer

To address modeling problems of brain-inspired intelligence, this thesis is focused on researching in the semantic-oriented framework design for multimedia and multimodal information. The Multimedia Neural Cognitive Computing (MNCC) model…

Neural and Evolutionary Computing · Computer Science 2018-06-12 Yang Liu

Despite the progress in deep learning networks, efficient learning at the edge (enabling adaptable, low-complexity machine learning solutions) remains a critical need for defense and commercial applications. We envision a pipeline to…

Graphs are quickly emerging as a leading abstraction for the representation of data. One important application domain originates from an emerging discipline called "connectomics". Connectomics studies the brain as a graph; vertices…

The function and dynamics of the cortex are fundamentally shaped by the specific wiring configurations of its constituent axonal fibers, also known as the connectome. However, many dynamical properties of macroscale cortical activity are…

Neurons and Cognition · Quantitative Biology 2025-06-25 Rishikesan Maran , Eli J. Müller , Ben D. Fulcher

Visually comparing brain networks, or connectomes, is an essential task in the field of neuroscience. Especially relevant to the field of clinical neuroscience, group studies that examine differences between populations or changes over time…

Neurons and Cognition · Quantitative Biology 2017-07-03 Johnson J. G. Keiriz , Liang Zhan , Morris Chukhman , Olu Ajilore , Alex D. Leow , Angus G. Forbes

Understanding the human brain remains the Holy Grail in biomedical science, and arguably in all of the sciences. Our brains represent the most complex systems in the world (and some contend the universe) comprising nearly one hundred…

Quantitative Methods · Quantitative Biology 2016-02-03 Sean L. Simpson , Paul J. Laurienti