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.
Authors
- Asma Patel (ORCID: https://orcid.org/0000-0003-1636-5955)
- Christos Bormpotsis
- Michael Nanos
Institutions
- Statistisches Bundesamt (DE)
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