AIMC Topic: Motion Pictures
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Generalizable dimensions of human cortical auditory processing of speech in natural soundscapes: A data-driven ultra high field fMRI approach.
NeuroImage
May 12, 2021
Speech comprehension in natural soundscapes rests on the ability of the auditory system to extract speech information from a complex acoustic signal with overlapping contributions from many sound sources. Here we reveal the canonical processing of sp...
DeepCINAC: A Deep-Learning-Based Python Toolbox for Inferring Calcium Imaging Neuronal Activity Based on Movie Visualization.
eNeuro
Aug 17, 2020
Two-photon calcium imaging is now widely used to infer neuronal dynamics from changes in fluorescence of an indicator. However, state-of-the-art computational tools are not optimized for the reliable detection of fluorescence transients from highly s...
Brain-optimized extraction of complex sound features that drive continuous auditory perception.
PLoS computational biology
Jul 2, 2020
Understanding how the human brain processes auditory input remains a challenge. Traditionally, a distinction between lower- and higher-level sound features is made, but their definition depends on a specific theoretical framework and might not match ...
Movie Review Summarization Using Supervised Learning and Graph-Based Ranking Algorithm.
Computational intelligence and neuroscience
Jun 2, 2020
With the growing information on web, online movie review is becoming a significant information resource for Internet users. However, online users post thousands of movie reviews on daily basis and it is hard for them to manually summarize the reviews...
Artificial intelligence in medicine.
Early human development
Mar 20, 2020
Artificial Intelligence (AI) is based on accurate decision-making processes which can be carried out independently by a machine. AI may be subdivided into strong AI (with consciousness and intentionality) and weak AI (lacking both and programmed to p...
Star Trek, medicine, ethics, nanotechnology and nursing.
Early human development
Mar 16, 2020
The first collection of Star Trek (ST) papers in this journal concentrated on the various doctors that appeared in ST in chronological screening order. This second collection will demonstrate that depictions of certain characters in ST harkens back t...
Decoding dynamic affective responses to naturalistic videos with shared neural patterns.
NeuroImage
Feb 7, 2020
This study explored the feasibility of using shared neural patterns from brief affective episodes (viewing affective pictures) to decode extended, dynamic affective sequences in a naturalistic experience (watching movie-trailers). Twenty-eight partic...
Recognition of Emotion According to the Physical Elements of the Video.
Sensors (Basel, Switzerland)
Jan 24, 2020
The increasing interest in the effects of emotion on cognitive, social, and neural processes creates a constant need for efficient and reliable techniques for emotion elicitation. Emotions are important in many areas, especially in advertising design...
Deep Learning Classification of Neuro-Emotional Phase Domain Complexity Levels Induced by Affective Video Film Clips.
IEEE journal of biomedical and health informatics
Dec 16, 2019
In the present article, a novel emotional complexity marker is proposed for classification of discrete emotions induced by affective video film clips. Principal Component Analysis (PCA) is applied to full-band specific phase space trajectory matrix (...
A Neural Network-Inspired Approach for Improved and True Movie Recommendations.
Computational intelligence and neuroscience
Aug 4, 2019
In the last decade, sentiment analysis, opinion mining, and subjectivity of microblogs in social media have attracted a great deal of attention of researchers. Movie recommendation systems are the tools, which provide valuable services to the users. ...
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