A Neuroscience-Informed AI Framework to Decode the Complexities of Neurofinance

Financial decision-making, a cornerstone of individual prosperity and global economic stability, is hard to comprehend because it is a complex cognitive process concerned with emotional state and behavioural bias. This paper aims to decode the neural mechanisms behind financial behaviour to advance theoretical and empirical progress in neurofinance. Thus, to better capture financial behaviour, this article proposes an innovative framework that bridges neurofinance, neuroscience, and bio-inspired computational models, like the MCoRNNMCD-ANN. Key research areas include the role of neural processes driving decisions, the effect of cognitive preferences on judgment, and the potential of bio-inspired AI models to enhance understanding. The societal implications of this research seek to encourage equitable, stable and informed financial systems while addressing challenges at the intersection of neurofinance and neuroscience-informed AI.

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Publication Details

Journal
IEEE Transactions on Technology and Society
Published
2025-04-08
DOI
https://doi.org/10.1109/tts.2025.3556355
Citations
4
Primary Topic
Financial Distress and Bankruptcy Prediction
Type
article
Field-Weighted Citation Impact
15.64
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article

A Neuroscience-Informed AI Framework to Decode the Complexities of Neurofinance

Asma Patel, Christos Bormpotsis, Michael Nanos
4 citations
IEEE Transactions on Technology and Society
Financial Distress and Bankruptcy Prediction
15.64
article

A Neuroscience-Informed AI Framework to Decode the Complexities of Neurofinance

Asma Patel, Christos Bormpotsis, Michael Nanos
article en
4 citations

Abstract

Financial decision-making, a cornerstone of individual prosperity and global economic stability, is hard to comprehend because it is a complex cognitive process concerned with emotional state and behavioural bias. This paper aims to decode the neural mechanisms behind financial behaviour to advance theoretical and empirical progress in neurofinance. Thus, to better capture financial behaviour, this article proposes an innovative framework that bridges neurofinance, neuroscience, and bio-inspired computational models, like the MCoRNNMCD-ANN. Key research areas include the role of neural processes driving decisions, the effect of cognitive preferences on judgment, and the potential of bio-inspired AI models to enhance understanding. The societal implications of this research seek to encourage equitable, stable and informed financial systems while addressing challenges at the intersection of neurofinance and neuroscience-informed AI.

IEEE Transactions on Technology and SocietyVol. 6(3)
Statistisches Bundesamt (DE)
Decent work and economic growth
Openalex Percentile: Top 1%
Financial Distress and Bankruptcy Prediction
15.64
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A Neuroscience-Informed AI Framework to Decode the Complexities of Neurofinance — Asma Patel, Christos Bormpotsis, et al. · IEEE Transactions on Technology and Society (2025) | TGRS Research Map | TGRS