22 citations · 38 across the 8 of their papers we have counts for
8 papers
Explainable Self-Organizing Artificial Intelligence Captures Landscape Changes Correlated with Human Impact Data
John M. Wandeto, Birgitta Dresp-Langley
Novel methods of analysis are needed to help advance our understanding of the intricate interplay between landscape changes, population dynamics, and sustainable development. Self…
The Grossberg Code: Universal Neural Network Signatures of Perceptual Experience
Birgitta Dresp-Langley
Two universal functional principles of Adaptive Resonance Theory simulate the brain code of all biological learning and adaptive intelligence. Low level representations of multisen…
Information And Control: Insights from within the brain
Birgitta Dresp-Langley
The neural networks of the brain are capable of learning statistical input regularities on the basis of synaptic learning, functional integration into increasingly larger, intercon…
Brain representation of perceptual stimuli at different levels of awareness
Birgitta Dresp-Langley
This article questions the widespread assumption that there are brain representations that will always remain unconscious in the sense of being inaccessible to individual awareness…
On Information Processing Limitations In Humans and Machines
Birgitta Dresp-Langley
Information theory is concerned with the study of transmission, processing, extraction, and utilization of information. In its most abstract form, information is conceived as a mea…
The contribution of local variations in hue or contrast to symmetry of things in a thing
Birgitta Dresp-Langley
Symmetry contributes to processes of perceptual organization in biological vision and influences the quality and time of goal directed decision making in animals and humans, as dis…
Unsupervised classification of cell imaging data using the quantization error in a Self Organizing Map
Birgitta Dresp-Langley, JM Wandeto
This study exploits previously demonstrated properties such as sensitivity to the spatial extent and the intensity of local image contrast of the quantization error in the output o…
Occams Razor for Big Data? On Detecting Quality in Large Unstructured Datasets
Birgitta Dresp-Langley, Ole Kristian Ekseth, Jan Fesl +3
Detecting quality in large unstructured datasets requires capacities far beyond the limits of human perception and communicability and, as a result, there is an emerging trend towa…