[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 …

The neural and computational bases of semantic cognition

MAL Ralph, E Jefferies, K Patterson… - Nature reviews …, 2017 - nature.com
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 …

The Lancaster Sensorimotor Norms: multidimensional measures of perceptual and action strength for 40,000 English words

D Lynott, L Connell, M Brysbaert, J Brand… - Behavior research …, 2020 - Springer
Sensorimotor information plays a fundamental role in cognition. However, the existing
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

MN Hebart, CY Zheng, F Pereira, CI Baker - Nature human behaviour, 2020 - nature.com
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 …

Decoding the information structure underlying the neural representation of concepts

L Fernandino, JQ Tong, LL Conant… - Proceedings of the …, 2022 - National Acad Sciences
The nature of the representational code underlying conceptual knowledge remains a major
unsolved problem in cognitive neuroscience. We assessed the extent to which different …

The challenge of abstract concepts.

AM Borghi, F Binkofski, C Castelfranchi… - Psychological …, 2017 - psycnet.apa.org
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 …

[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 …

Disentangling syntax and semantics in the brain with deep networks

C Caucheteux, A Gramfort… - … conference on machine …, 2021 - proceedings.mlr.press
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 …

Affective neurolinguistics: towards a framework for reconciling language and emotion

JA Hinojosa, EM Moreno, P Ferré - Language, Cognition and …, 2020 - Taylor & Francis
Standard neurocognitive models of language processing have tended to obviate the need
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

Y Zeng, D Zhao, F Zhao, G Shen, Y Dong, E Lu… - Patterns, 2023 - cell.com
Spiking neural networks (SNNs) serve as a promising computational framework for
integrating insights from the brain into artificial intelligence (AI). Existing software …