Results 31 to 38 of about 377 (38)

A Novel method for Schizophrenia classification using nonlinear features and neural networks

open access: yes, 2023
One notable method for recording brainwaves to identify neurological problems is electroencephalography (hereafter EEG). A trained neuro physician can learn more about how the brain functions through the use of EEGs. However conventionally, EEGs are only
SV, Hari Prasad
core  

Neural Attractors and Phonological Grammar [PDF]

open access: yes, 2019
This volume collects three articles which constitute the bulk of my PhD research. The overarching theme of the volume is the role of attractors - a concept from dynamical systems theory – in the neural realization of phonological grammar. The motivation
Collins, Joe Stephen
core  

Integrated Information Decomposition Unveils Major Structural Traits of $In$ $Silico$ and $In$ $Vitro$ Neuronal Networks

open access: yes
The properties of complex networked systems arise from the interplay between the dynamics of their elements and the underlying topology. Thus, to understand their behaviour, it is crucial to convene as much information as possible about their topological
Houben, Akke Mats   +3 more
core   +1 more source

HTM-MAT: An online prediction software toolbox based on cortical machine learning algorithm

open access: yes, 2017
HTM-MAT is a MATLAB based toolbox for implementing cortical learning algorithms (CLA) including related cortical-like algorithms that possesses spatiotemporal properties.
Anireh, V. I., Osegi, EN
core  

Positioning is All You Need

open access: yes
One can drive safely with a GPS without memorizing a world map (not to mention the dark regions that humans have never explored). Such a locality-based attention mechanism has a profound implication on our understanding of how the brain works. This paper
Li, Xin
core  

Psychology of Artificial Intelligence: Epistemological Markers of the Cognitive Analysis of Neural Networks

open access: yes
What is the "nature" of the cognitive processes and contents of an artificial neural network? In other words, how does an artificial intelligence fundamentally "think," and in what form does its knowledge reside? The psychology of artificial intelligence,
Pichat, Michael
core  

Exploring a Cognitive Architecture for Learning Arithmetic Equations

open access: yes
The acquisition and performance of arithmetic skills and basic operations such as addition, subtraction, multiplication, and division are essential for daily functioning, and reflect complex cognitive processes.
Gawin, Cole
core  

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