Vishal Deshwal

Research Student - PhD

Research Program: International Centre for Neuromorphic Systems

Thesis Title

Periodic Activation Functions

Research Project

In Artificial Neural Networks (ANNs), activation functions play an important role in interpreting complex patterns and non-linear relationships. Conventional approaches rely on monotonic activation functions. This research seeks to advance the understanding and application of Periodic Activation Functions (PAFs) in ANNs, potentially unlocking new possibilities for network design and performance optimisation. A key focus will be investigating how using PAFs allows us to create multiple hyperplanes for separating or classifying data points, using just a few layers. This approach can allow for the creation of wider networks rather than deeper ones, leading to numerous advantages, such as stability and faster convergence.

Qualifications

• B.Tech in Electronics and Communication Engineering from PES University, Bangalore, India (2017)

Publications

Dimension Reduction in the Sagittal Plane for Diagnosis of Mild Cognitive Impairment Dimension Reduction in the Sagittal Plane for Diagnosis of Mild Cognitive Impairment
IACC 2022 · Dec 7, 2022

Applicability of deep neural networks and local binary pattern for the classification of MCI-C and MCI-NCApplicability of deep neural networks and local binary pattern for the classification of MCI-C and MCI-NC
Alzheimer's & Dementia TECHNOLOGY AND DEMENTIA PRECONFERENCE · Jul 19, 2021

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