AIMC Topic: Mental Processes

Clear Filters Showing 11 to 20 of 38 articles

Machine learning prediction and classification of behavioral selection in a canine olfactory detection program.

Scientific reports
There is growing interest in canine behavioral research specifically for working dogs. Here we take advantage of a dataset of a Transportation Safety Administration olfactory detection cohort of 628 Labrador Retrievers to perform Machine Learning (ML...

Detecting stress caused by nitrogen deficit using deep learning techniques applied on plant electrophysiological data.

Scientific reports
Plant electrophysiology carries a strong potential for assessing the health of a plant. Current literature for the classification of plant electrophysiology generally comprises classical methods based on signal features that portray a simplification ...

Artificial lives, analogies and symbolic thought: an anthropological insight on robots and AI.

Studies in history and philosophy of science
The aim of this article is to explore the conception of artificial life forms and the interactions we have with them by paying a particular attention to the analogies that characterize them and the mental processes they give rise to. The article adop...

Decoding study-independent mind-wandering from EEG using convolutional neural networks.

Journal of neural engineering
. Mind-wandering is a mental phenomenon where the internal thought process disengages from the external environment periodically. In the current study, we trained EEG classifiers using convolutional neural networks (CNNs) to track mind-wandering acro...

Nonlinear manifold learning in functional magnetic resonance imaging uncovers a low-dimensional space of brain dynamics.

Human brain mapping
Large-scale brain dynamics are believed to lie in a latent, low-dimensional space. Typically, the embeddings of brain scans are derived independently from different cognitive tasks or resting-state data, ignoring a potentially large-and shared-portio...

Spine dynamics in the brain, mental disorders and artificial neural networks.

Nature reviews. Neuroscience
In the brain, most synapses are formed on minute protrusions known as dendritic spines. Unlike their artificial intelligence counterparts, spines are not merely tuneable memory elements: they also embody algorithms that implement the brain's ability ...

Artificial Evolution Network: A Computational Perspective on the Expansibility of the Nervous System.

IEEE transactions on neural networks and learning systems
Neurobiologists recently found the brain can use sudden emerged channels to process information. Based on this finding, we put forward a question whether we can build a computation model that is able to integrate a sudden emerged new type of perceptu...

Neural dynamics of perceptual inference and its reversal during imagery.

eLife
After the presentation of a visual stimulus, neural processing cascades from low-level sensory areas to increasingly abstract representations in higher-level areas. It is often hypothesised that a reversal in neural processing underlies the generatio...

Mental state space visualization for interactive modeling of personalized BCI control strategies.

Journal of neural engineering
OBJECTIVE: Numerous studies in the area of BCI are focused on the search for a better experimental paradigm-a set of mental actions that a user can evoke consistently and a machine can discriminate reliably. Examples of such mental activities are mot...

A Multichannel Convolutional Neural Network Architecture for the Detection of the State of Mind Using Physiological Signals from Wearable Devices.

Journal of healthcare engineering
Detection of the state of mind has increasingly grown into a much favored study in recent years. After the advent of smart wearables in the market, each individual now expects to be delivered with state-of-the-art reports about his body. The most dom...