Unraveling the complexities of programming neural adaptive deep ...

In this perspective, we outline considerations for programing several key parameters for aDBS based on our experience across several aDBS-capable research ...

Over the past three decades, deep brain stimulation (DBS) for Parkinson's disease (PD) has been applied in a continuous open loop fashion, ...

Unraveling the complexities of programming neural adaptive deep ...

Over the past three decades, deep brain stimulation (DBS) for Parkinson's disease (PD) has been applied in a continuous open loop fashion, unresponsive to ...

Unraveling the complexities of programming neural adaptive deep ...

Unraveling the complexities of programming neural adaptive deep brain stimulation in Parkinson's disease · Frontiers in Human Neuroscience, November 2023.

‪Pranav Akella‬ - ‪Google Scholar‬

Unraveling the complexities of programming neural adaptive deep brain stimulation in Parkinson's disease. KB Wilkins, JA Melbourne, P Akella, HM Bronte-Stewart.

Frontiers - Neuroscience on X: "New Research: Unraveling the ...

New Research: Unraveling the complexities of programming neural adaptive deep brain stimulation in Parkinson's disease: Over the past three decades, ...

Unraveling the Complexity of Parkinson's Disease: Insights into ...

Parkinson's disease (PD) is a neurodegenerative disorder characterized by dopaminergic neuron loss, leading to motor and non-motor symptoms.

Unraveling neural coding of dynamic natural visual scenes via ...

However, modeling the retina to process dynamics of rather complex natural scenes by deep neural networks remains unclear. Studies on models of ...

Deep Learning: Unraveling the Secrets of Neural Networks

PDF | Deep Learning has emerged as a groundbreaking field within the domain of artificial intelligence, revolutionizing the way computers ...

Unraveling hidden interactions in complex systems with deep learning

In this study, we propose AgentNet, a model-free data-driven framework consisting of deep neural networks to reveal and analyze the hidden interactions in ...

Unraveling the Complexity: Understanding Neural Networks update

Exploring Multi-layered Neural Networks. Deep learning has revolutionized the field of artificial intelligence by enabling machines to learn and ...

Unraveling the Complexity of Mixture of Experts (MoE) in Machine ...

Dive deeper into the MoE realm, and you'll discover its core - the adaptive mixtures of local experts. These experts, governed by a master ...

Unraveling neural coding of dynamic natural visual scenes via ...

The retina is one of the best-understood examples in neuroscience for visual computing. Here, we use retinal data to demonstrate how to use deep ...

Unraveling Code Clone Dynamics in Deep Learning Frameworks

The cross-framework code clone investigation reveals the presence of functional and architectural adaptation file-level cross-framework code ...

Unraveling the Complexity of Neural Networks: A Deep Dive into the ...

In the ever-evolving realm of artificial intelligence (AI), neural networks have established themselves as the bedrock of modern machine ...

Exploring Deep Learning: Unraveling Neural Networks and Their ...

In the world of artificial intelligence, deep learning has emerged as a revolutionary approach that mimics the human brain's ability to ...

Deciphering AI, Machine and Deep Learning, Neural Networks

Employs algorithms for learning and adapting from data, enhancing performance without explicit programming ... Unraveling the intricacies of such subgroups is ...

Brain-inspired learning in artificial neural networks: A review

With more realistic models, we can probe deeper into the complexities of brain computation from the novel perspective of artificial intelligence ...

Unraveling the deep learning gearbox in optical coherence ... - Nature

A convolutional neural network for optical coherence tomography image segmentation was enhanced with a Traceable Relevance Explainability (T-REX) technique.

Unraveling the Impact of Class Imbalance on Deep-Learning ... - MDPI

Deep neural networks are equipped to solve more sophisticated problems than artificial neural networks, handling higher complexity data more effectively [2,4,5, ...