Deep learning in neural networks: An overview
J Schmidhuber - Neural networks, 2015 - Elsevier
In recent years, deep artificial neural networks (including recurrent ones) have won
numerous contests in pattern recognition and machine learning. This historical survey …
numerous contests in pattern recognition and machine learning. This historical survey …
From “sense of number” to “sense of magnitude”: The role of continuous magnitudes in numerical cognition
In this review, we are pitting two theories against each other: the more accepted theory, the
number sense theory, suggesting that a sense of number is innate and non-symbolic …
number sense theory, suggesting that a sense of number is innate and non-symbolic …
[PDF][PDF] Theory of mind may have spontaneously emerged in large language models
M Kosinski - arxiv preprint arxiv:2302.02083, 2023 - arxiv.org
Theory of mind (ToM), or the ability to impute unobservable mental states to others, is central
to human social interactions, communication, empathy, self-consciousness, and morality …
to human social interactions, communication, empathy, self-consciousness, and morality …
Evaluating large language models in theory of mind tasks
M Kosinski - Proceedings of the National Academy of Sciences, 2024 - pnas.org
Eleven large language models (LLMs) were assessed using 40 bespoke false-belief tasks,
considered a gold standard in testing theory of mind (ToM) in humans. Each task included a …
considered a gold standard in testing theory of mind (ToM) in humans. Each task included a …
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 …
The neuronal code for number
A Nieder - Nature Reviews Neuroscience, 2016 - nature.com
Humans and non-human primates share an elemental quantification system that resides in a
dedicated neural network in the parietal and frontal lobes. In this cortical network,'number …
dedicated neural network in the parietal and frontal lobes. In this cortical network,'number …
Sensory-integration system rather than approximate number system underlies numerosity processing: A critical review
It is widely accepted that human and nonhuman species possess a specialized system to
process large approximate numerosities. The theory of an evolutionarily ancient …
process large approximate numerosities. The theory of an evolutionarily ancient …
Learning-induced reorganization of number neurons and emergence of numerical representations in a biologically inspired neural network
Abstract Number sense, the ability to decipher quantity, forms the foundation for
mathematical cognition. How number sense emerges with learning is, however, not known …
mathematical cognition. How number sense emerges with learning is, however, not known …
Spontaneous perception of numerosity in humans
Humans, including infants, and many other species have a capacity for rapid, nonverbal
estimation of numerosity. However, the mechanisms for number perception are still not clear; …
estimation of numerosity. However, the mechanisms for number perception are still not clear; …
When time is space: Evidence for a mental time line
Time and space are tightly linked in the physical word. Recently, several lines of evidence
have suggested that the mental representation of time might be spatial in nature. For …
have suggested that the mental representation of time might be spatial in nature. For …