4 papers
Synergizing Zero-Shot Cross-Lingual Alzheimer Detection with Language-Invariant Multimodal Bi-Geometric Adversarial Learning
Girish, Mohd Mujtaba Akhtar, Farhan Sheth +4
In this work, we study zero-shot cross-lingual speech-based Alzheimer's disease detection (SADD). We hypothesize that learning language-invariant multimodal representations by fusi…
Multi-Objective Optimisation with Oscillatory Dynamics in Spontaneous and Decision Spiking Neural Networks
Divyansh Sethi, Muhammad Faraz, KongFatt Wong-Lin
Spiking neural networks (SNNs) can be used for implementing cost-efficient artificial intelligence computing or mechanistic modelling of experimentally observed neural data. In the…
Uncovering dynamical equations of stochastic decision models using data-driven SINDy algorithm
Brendan Lenfesty, Saugat Bhattacharyya, KongFatt Wong-Lin
Decision formation in perceptual decision-making involves sensory evidence accumulation instantiated by the temporal integration of an internal decision variable towards some decis…
Can multivariate Granger causality detect directed connectivity of a multistable and dynamic biological decision network model?
Abdoreza Asadpour, KongFatt Wong-Lin
Extracting causal connections can advance interpretable AI and machine learning. Granger causality (GC) is a robust statistical method for estimating directed influences (DC) betwe…