22 citations · 35 across the 14 of their papers we have counts for
4 papers · 1 filter
Impact of Neuron Models on Spiking Neural Networks performance. A Complexity Based Classification Approach
Zofia Rudnicka, Janusz Szczepanski, Agnieszka Pregowska
This study explores how the selection of neuron models and learning rules impacts the classification performance of Spiking Neural Networks (SNNs), with a focus on applications in…
Artificial Intelligence-based algorithms in medical image scan seg-mentation and intelligent visual-content generation -- a concise overview
Zofia Rudnicka, Janusz Szczepanski, Agnieszka Pregowska
Recently, Artificial Intelligence (AI)-based algorithms have revolutionized the medical image segmentation processes. Thus, the precise segmentation of organs and their lesions may…
Does a larger neural network mean greater information transmission efficiency?
Bartosz Paprocki, Agnieszka Pregowska, Janusz Szczepanski
Realistic modeling of brain involves large number of neurons. The important question is how this size affects transmission efficiency? Here, these issue is studied in terms of Shan…
Temporal code versus rate code for binary Information Sources
Agnieszka Pregowska, Janusz Szczepanski, Eligiusz Wajnryb
Neuroscientists formulate very different hypotheses about the nature of neural code. At one extreme, it has been argued that neurons encode information in relatively slow changes o…