Sökning: "Visual short-term memory"
Visar resultat 1 - 5 av 12 uppsatser innehållade orden Visual short-term memory.
1. COMPLEXITY & RANDOMNESS Exploring the Limits of Pattern Perception
Kandidat-uppsats, Institutionen för tillämpad informationsteknologiSammanfattning : Pattern perception is a core part of human cognition, however, our capacity to process patterns is limited. If a pattern is too complex to process, we no longer perceive it as a pattern but rather as noise, thus we hypothesize that there is a limit to human pattern perception that can be measured in terms of the complexity of the pattern. LÄS MER
2. The value of visual depiction: A comparison of short-term memory capacity between glyph icons and words
Kandidat-uppsats, Lunds universitet/Institutionen för informatikSammanfattning : Icons are widely used throughout society; moreover, they play a significant role in computer user interfaces, frequently appearing on websites and applications. In many cases, they are used instead of text labels to make a user interface (UI) more universally understood, among other things. LÄS MER
3. Lion’s mane mushroom : A fungus to remember, a novel venture into dementia therapy
Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskapSammanfattning : As life expectancy increases globally, so does the prevalence of age-related diseases, some of which are more difficult to adapt to and accommodate for than others. In particular, neurodegenerative disorders are among those for which adaptations are more complex, often requiring long-term care. LÄS MER
4. Simulating Facilitation in a Spiking Neural Network
Kandidat-uppsats, Lunds universitet/Examensarbeten i molekylärbiologiSammanfattning : Many insects are able to detect, isolate and track small targets that move quickly against a dynamic background. This ability is enabled by a group of neurons called small target motion detectors (STMD). These neurons, among other properties, have a type of short term memory called response facilitation. LÄS MER
5. Replicating noise in video : a comparison between physics-based and deep learning models for simulating noise
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Algorithms that track objects in video following Newtonian physics can often be affected by noise in the data. Some types of noise might be hard or expensive to capture, so to be able to augment or generate a new data set from models replicating a certain type of noise can be useful. LÄS MER
