[HTML][HTML] Challenges and opportunities for grounding cognition
LW Barsalou - Journal of Cognition, 2020 - ncbi.nlm.nih.gov
According to the grounded perspective, cognition emerges from the interaction of classic
cognitive processes with the modalities, the body, and the environment. Rather than being …
cognitive processes with the modalities, the body, and the environment. Rather than being …
The neural and computational bases of semantic cognition
Semantic cognition refers to our ability to use, manipulate and generalize knowledge that is
acquired over the lifespan to support innumerable verbal and non-verbal behaviours. This …
acquired over the lifespan to support innumerable verbal and non-verbal behaviours. This …
The Lancaster Sensorimotor Norms: multidimensional measures of perceptual and action strength for 40,000 English words
Sensorimotor information plays a fundamental role in cognition. However, the existing
materials that measure the sensorimotor basis of word meanings and concepts have been …
materials that measure the sensorimotor basis of word meanings and concepts have been …
Revealing the multidimensional mental representations of natural objects underlying human similarity judgements
Abstract Objects can be characterized according to a vast number of possible criteria (such
as animacy, shape, colour and function), but some dimensions are more useful than others …
as animacy, shape, colour and function), but some dimensions are more useful than others …
Decoding the information structure underlying the neural representation of concepts
The nature of the representational code underlying conceptual knowledge remains a major
unsolved problem in cognitive neuroscience. We assessed the extent to which different …
unsolved problem in cognitive neuroscience. We assessed the extent to which different …
The challenge of abstract concepts.
Abstract Abstract concepts (“freedom”) differ from concrete ones (“cat”), as they do not have
a bounded, identifiable, and clearly perceivable referent. The way in which abstract …
a bounded, identifiable, and clearly perceivable referent. The way in which abstract …
[KNIHA][B] Cognitive neuroscience of language
D Kemmerer - 2022 - taylorfrancis.com
Cognitive Neuroscience of Language provides an up-to-date, wide-ranging, and
pedagogically practical survey of the most important developments in this exciting field. It …
pedagogically practical survey of the most important developments in this exciting field. It …
Disentangling syntax and semantics in the brain with deep networks
The activations of language transformers like GPT-2 have been shown to linearly map onto
brain activity during speech comprehension. However, the nature of these activations …
brain activity during speech comprehension. However, the nature of these activations …
Affective neurolinguistics: towards a framework for reconciling language and emotion
Standard neurocognitive models of language processing have tended to obviate the need
for incorporating emotion processes, while affective neuroscience theories have typically …
for incorporating emotion processes, while affective neuroscience theories have typically …
[HTML][HTML] Braincog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired ai and brain simulation
Spiking neural networks (SNNs) serve as a promising computational framework for
integrating insights from the brain into artificial intelligence (AI). Existing software …
integrating insights from the brain into artificial intelligence (AI). Existing software …