Guided Search 6.0: An updated model of visual search
JM Wolfe - Psychonomic bulletin & review, 2021 - Springer
Abstract This paper describes Guided Search 6.0 (GS6), a revised model of visual search.
When we encounter a scene, we can see something everywhere. However, we cannot …
When we encounter a scene, we can see something everywhere. However, we cannot …
The neuroconnectionist research programme
Artificial neural networks (ANNs) inspired by biology are beginning to be widely used to
model behavioural and neural data, an approach we call 'neuroconnectionism'. ANNs have …
model behavioural and neural data, an approach we call 'neuroconnectionism'. ANNs have …
Macroscopic resting-state brain dynamics are best described by linear models
It is typically assumed that large networks of neurons exhibit a large repertoire of nonlinear
behaviours. Here we challenge this assumption by leveraging mathematical models derived …
behaviours. Here we challenge this assumption by leveraging mathematical models derived …
A blockchained federated learning framework for cognitive computing in industry 4.0 networks
Cognitive computing, a revolutionary AI concept emulating human brain's reasoning
process, is progressively flourishing in the Industry 4.0 automation. With the advancement of …
process, is progressively flourishing in the Industry 4.0 automation. With the advancement of …
Application of graph theory for identifying connectivity patterns in human brain networks: a systematic review
Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …
Neural entrainment and attentional selection in the listening brain
The streams of sounds we typically attend to abound in acoustic regularities. Neural
entrainment is seen as an important mechanism that the listening brain exploits to attune to …
entrainment is seen as an important mechanism that the listening brain exploits to attune to …
A deep learning framework for neuroscience
Abstract Systems neuroscience seeks explanations for how the brain implements a wide
variety of perceptual, cognitive and motor tasks. Conversely, artificial intelligence attempts to …
variety of perceptual, cognitive and motor tasks. Conversely, artificial intelligence attempts to …
Neural network models and deep learning
Originally inspired by neurobiology, deep neural network models have become a powerful
tool of machine learning and artificial intelligence. They can approximate functions and …
tool of machine learning and artificial intelligence. They can approximate functions and …
Deep neural networks as scientific models
Artificial deep neural networks (DNNs) initially inspired by the brain enable computers to
solve cognitive tasks at which humans excel. In the absence of explanations for such …
solve cognitive tasks at which humans excel. In the absence of explanations for such …
THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior
Understanding object representations requires a broad, comprehensive sampling of the
objects in our visual world with dense measurements of brain activity and behavior. Here …
objects in our visual world with dense measurements of brain activity and behavior. Here …