The secret life of predictive brains: what's spontaneous activity for?
Brains at rest generate dynamical activity that is highly structured in space and time. We
suggest that spontaneous activity, as in rest or dreaming, underlies top-down dynamics of …
suggest that spontaneous activity, as in rest or dreaming, underlies top-down dynamics of …
A survey on theories and applications for self-driving cars based on deep learning methods
J Ni, Y Chen, Y Chen, J Zhu, D Ali, W Cao - Applied Sciences, 2020 - mdpi.com
Self-driving cars are a hot research topic in science and technology, which has a great
influence on social and economic development. Deep learning is one of the current key …
influence on social and economic development. Deep learning is one of the current key …
[HTML][HTML] Graphic complexity in writing systems
A writing system is a graphic code, ie, a system of standardized pairings between symbols
and meanings in which symbols take the form of images that can endure. The visual …
and meanings in which symbols take the form of images that can endure. The visual …
A systematic review on deep learning architectures and applications
A Khamparia, KM Singh - Expert Systems, 2019 - Wiley Online Library
The amount of digital data in the universe is growing at an exponential rate, doubling every
2 years, and changing how we live in the world. The information storage capacity and data …
2 years, and changing how we live in the world. The information storage capacity and data …
Unsupervised learning predicts human perception and misperception of gloss
Reflectance, lighting and geometry combine in complex ways to create images. How do we
disentangle these to perceive individual properties, such as surface glossiness? We suggest …
disentangle these to perceive individual properties, such as surface glossiness? We suggest …
A comparison of shallow and deep learning methods for predicting cognitive performance of stroke patients from MRI lesion images
Stroke causes behavioral deficits in multiple cognitive domains and there is a growing
interest in predicting patient performance from neuroimaging data using machine learning …
interest in predicting patient performance from neuroimaging data using machine learning …
Emergence of a compositional neural code for written words: Recycling of a convolutional neural network for reading
The visual word form area (VWFA) is a region of human inferotemporal cortex that emerges
at a fixed location in the occipitotemporal cortex during reading acquisition and …
at a fixed location in the occipitotemporal cortex during reading acquisition and …
The evolution of early symbolic behavior in Homo sapiens
How did human symbolic behavior evolve? Dating up to about 100,000 y ago, the engraved
ochre and ostrich eggshell fragments from the South African Blombos Cave and Diepkloof …
ochre and ostrich eggshell fragments from the South African Blombos Cave and Diepkloof …
Visual sense of number vs. sense of magnitude in humans and machines
Numerosity perception is thought to be foundational to mathematical learning, but its
computational bases are strongly debated. Some investigators argue that humans are …
computational bases are strongly debated. Some investigators argue that humans are …
An emergentist perspective on the origin of number sense
The finding that human infants and many other animal species are sensitive to numerical
quantity has been widely interpreted as evidence for evolved, biologically determined …
quantity has been widely interpreted as evidence for evolved, biologically determined …