Essays about: "neural connectivity"

Showing result 1 - 5 of 45 essays containing the words neural connectivity.

1. 1. On Linear Mode Connectivity up to Permutation of Hidden Neurons in Neural Network : When does Weight Averaging work?

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Adhithyan Kalaivanan; [2023]
   Keywords : Mode Connectivity; Representation Learning; Loss Landscape; Network Symmetry; Lägesanslutning; representationsinlärning; förlustlandskap; nätverkssymmetri;

   Abstract : Neural networks trained using gradient-based optimization methods exhibit a surprising phenomenon known as mode connectivity, where two independently trained network weights are not isolated low loss minima in the parameter space. Instead, they can be connected by simple curves along which the loss remains low. READ MORE

3. 2. Regression with Bayesian Confidence Propagating Neural Networks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Raghav Rajendran Bongole; [2023]
   Keywords : Machine Learning; Neural Networks; Brain-like computing; Bayesian Confidence Propagating Neural Networks; Maskininlärning; neurala nätverk; hjärnliknande datorer; Bayesian Förtroendespridande neurala nätverk;

   Abstract : Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivity, and Hebbian learning. READ MORE

4. 3. Neural functional connections of pragmatics : A potential pragmatic network in development

   University essay from Stockholms universitet/Institutionen för lingvistik

   Author : Ronja Forsgren Roll; [2023]
   Keywords : Pragmatics; development; adolescence; networks; functional connectivity; theory of mind; executive functions; Pragmatik; utveckling; ungdomar; nätverk; funktionell konnektivitet; theory of mind; exekutiva funktioner;

   Abstract : Pragmatic ability is crucial in everyday interactions. In populations of neurotypical individuals, pragmatic skill varies greatly. The neural mechanisms behind the variety, and the neural development of pragmatics remain to be explained. READ MORE

5. 4. The data-driven CyberSpine : Modeling the Epidural Electrical Stimulation using Finite Element Model and Artificial Neural Networks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Yu Qin; [2023]
   Keywords : Spinal Cord Injury; Epidural Electrical Stimulation; Computational Neuroscience; Finite Element Model; Artificial Intelligence; Optimal Transport; EMG; Muscle Activation; Ryggmärgsskada; Epidural Elektrisk Stimulering; Beräkningsneurovetenskap; Finita Elementmodellen; Artificiell Intelligens; Optimal Transport; EMG; Muskelaktivering;

   Abstract : Every year, 250,000 people worldwide suffer a spinal cord injury (SCI) that leaves them with chronic paraplegia - permanent loss of ability to move their legs. SCI interrupts axons passing along the spinal cord, thereby isolating motor neurons from brain inputs. To date, there are no effective treatments that can reconnect these interrupted axons. READ MORE

6. 5. Link Prediction Using Learnable Topology Augmentation

   University essay from KTH/Matematik (Avd.)

   Author : Tori Leatherman; [2023]
   Keywords : Network Analysis; Inductive Link Prediction; Learnable Augmentation; Graph Neural Networks; Multilayer Perceptrons; Nätverksanalys; Induktiv Länkförutsägelse; Inlärningsbar Förstärkning; Grafiska Neurala Nätverk; Flerskiktsperceptroner;

   Abstract : Link prediction is a crucial task in many downstream applications of graph machine learning. Graph Neural Networks (GNNs) are a prominent approach for transductive link prediction, where the aim is to predict missing links or connections only within the existing nodes of a given graph. READ MORE