1 citations · 2 across the 8 of their papers we have counts for
8 papers
Hebbian Memory-Augmented Recurrent Networks: Engram Neurons in Deep Learning
Daniel Szelogowski
Despite success across diverse tasks, current artificial recurrent network architectures rely primarily on implicit hidden-state memories, limiting their interpretability and abili…
Engram Memory Encoding and Retrieval: A Neurocomputational Perspective
Daniel Szelogowski
Despite substantial research into the biological basis of memory, the precise mechanisms by which experiences are encoded, stored, and retrieved in the brain remain incompletely un…
Simulation of Neural Responses to Classical Music Using Organoid Intelligence Methods
Daniel Szelogowski
Music is a complex auditory stimulus capable of eliciting significant changes in brain activity, influencing cognitive processes such as memory, attention, and emotional regulation…
Emotion Recognition of the Singing Voice: Toward a Real-Time Analysis Tool for Singers
Daniel Szelogowski
Current computational-emotion research has focused on applying acoustic properties to analyze how emotions are perceived mathematically or used in natural language processing machi…
Chunk List: Concurrent Data Structures
Daniel Szelogowski
Chunking data is obviously no new concept; however, I had never found any data structures that used chunking as the basis of their implementation. I figured that by using chunking…
Optimizing Data Cube Visualization for Web Applications: Performance and User-Friendly Data Aggregation
Daniel Szelogowski
Current open source applications which allow for cross-platform data visualization of OLAP cubes feature issues of high overhead and inconsistency due to data oversimplification. T…
Visualization Techniques with Data Cubes: Utilizing Concurrency for Complex Data
Daniel Szelogowski
With web and mobile platforms becoming more prominent devices utilized in data analysis, there are currently few systems which are not without flaw. In order to increase the perfor…
Generative Deep Learning for Virtuosic Classical Music: Generative Adversarial Networks as Renowned Composers
Daniel Szelogowski
Current AI-generated music lacks fundamental principles of good compositional techniques. By narrowing down implementation issues both programmatically and musically, we can create…