scholarly journals Sodium and calcium mechanisms of rhythmic bursting in excitatory neural networks of the pre-Bötzinger complex: a computational modelling study

2012 ◽  
Vol 37 (2) ◽  
pp. 212-230 ◽  
Author(s):  
Patrick E. Jasinski ◽  
Yaroslav I. Molkov ◽  
Natalia A. Shevtsova ◽  
Jeffrey C. Smith ◽  
Ilya A. Rybak
Keyword(s):  
Neural Networks ◽  
Computational Modelling ◽  
Bötzinger Complex ◽  
Modelling Study

scholarly journals Impact of Peritumoral Edema During Tumor Treatment Field Therapy: A Computational Modelling Study

2020 ◽  
Vol 67 (12) ◽  
pp. 3327-3338 ◽  
Author(s):  
Stefan T. Lang ◽  
Liu Shi Gan ◽  
Cael McLennan ◽  
Oury Monchi ◽  
John J. P. Kelly
Keyword(s):  
Computational Modelling ◽  
Peritumoral Edema ◽  
Tumor Treatment ◽  
Field Therapy ◽  
Modelling Study

scholarly journals Understanding memories of the Holocaust—A new approach to neural networks in the digital humanities

2019 ◽  
Vol 35 (1) ◽  
pp. 17-33
Author(s):  
Tobias Blanke ◽  
Michael Bryant ◽  
Mark Hedges
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Sentiment Analysis ◽  
Digital Humanities ◽  
Research Question ◽  
Real Life ◽  
Computational Modelling ◽  
The United States ◽  
New Approach ◽  
Distant Supervision

Abstract This article addresses an important challenge in artificial intelligence research in the humanities, which has impeded progress with supervised methods. It introduces a novel method to creating test collections from smaller subsets. This method is based on what we will introduce as distant supervision’ and will allow us to improve computational modelling in the digital humanities by including new methods of supervised learning. Using recurrent neural networks, we generated a training corpus and were able to train a highly accurate model that qualitatively and quantitatively improved a baseline model. To demonstrate our new approach experimentally, we employ a real-life research question based on existing humanities collections. We use neural network based sentiment analysis to decode Holocaust memories and present a methodology to combine supervised and unsupervised sentiment analysis to analyse the oral history interviews of the United States Holocaust Memorial Museum. Finally, we employed three advanced methods of computational semantics. These helped us decipher the decisions by the neural network and understand, for instance, the complex sentiments around family memories in the testimonies.

The morphology of the human mandible: A computational modelling study

2019 ◽  
Vol 19 (4) ◽  
pp. 1187-1202 ◽  
Author(s):  
Ravin Vallabh ◽  
Ju Zhang ◽  
Justin Fernandez ◽  
George Dimitroulis ◽  
David C. Ackland
Keyword(s):  
Computational Modelling ◽  
Modelling Study

scholarly journals Towards understanding the catalytic properties of lead-based ballistic modifiers in double base propellants

2020 ◽  
Vol 22 (44) ◽  
pp. 25502-25513
Author(s):  
Lisette R. Warren ◽  
Colin R. Pulham ◽  
Carole A. Morrison
Keyword(s):  
Catalytic Properties ◽  
Computational Modelling ◽  
Ballistic Modifiers ◽  
Double Base ◽  
Modelling Study

A computational modelling study revealing important metrics that cast light on why lead-based compounds have improved ballistic modifier properties compared to tin and bismuth.

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