Cognitive computational neuroscience
N Kriegeskorte, PK Douglas - Nature neuroscience, 2018 - nature.com
To learn how cognition is implemented in the brain, we must build computational models
that can perform cognitive tasks, and test such models with brain and behavioral …
that can perform cognitive tasks, and test such models with brain and behavioral …
On staying grounded and avoiding quixotic dead ends
LW Barsalou - Psychonomic bulletin & review, 2016 - Springer
The 15 articles in this special issue on The Representation of Concepts illustrate the rich
variety of theoretical positions and supporting research that characterize the area. Although …
variety of theoretical positions and supporting research that characterize the area. Although …
Visual and linguistic semantic representations are aligned at the border of human visual cortex
Semantic information in the human brain is organized into multiple networks, but the fine-
grain relationships between them are poorly understood. In this study, we compared …
grain relationships between them are poorly understood. In this study, we compared …
Flexible reuse of cortico-hippocampal representations during encoding and recall of naturalistic events
ZM Reagh, C Ranganath - Nature Communications, 2023 - nature.com
Although every life event is unique, there are considerable commonalities across events.
However, little is known about whether or how the brain flexibly represents information about …
However, little is known about whether or how the brain flexibly represents information about …
Deep supervised, but not unsupervised, models may explain IT cortical representation
SM Khaligh-Razavi, N Kriegeskorte - PLoS computational biology, 2014 - journals.plos.org
Inferior temporal (IT) cortex in human and nonhuman primates serves visual object
recognition. Computational object-vision models, although continually improving, do not yet …
recognition. Computational object-vision models, although continually improving, do not yet …
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
The visual system of mammals is comprised of parallel, hierarchical specialized pathways.
Different pathways are specialized in so far as they use representations that are more …
Different pathways are specialized in so far as they use representations that are more …
Integrative and distinctive coding of visual and conceptual object features in the ventral visual stream
A significant body of research in cognitive neuroscience is aimed at understanding how
object concepts are represented in the human brain. However, it remains unknown whether …
object concepts are represented in the human brain. However, it remains unknown whether …
Decoding semantic representations in mind and brain
A key goal for cognitive neuroscience is to understand the neurocognitive systems that
support semantic memory. Recent multivariate analyses of neuroimaging data have …
support semantic memory. Recent multivariate analyses of neuroimaging data have …
Shared neural representations and temporal segmentation of political content predict ideological similarity
Despite receiving the same sensory input, opposing partisans often interpret political content
in disparate ways. Jointly analyzing controlled and naturalistic functional magnetic …
in disparate ways. Jointly analyzing controlled and naturalistic functional magnetic …
Brain encoding models based on multimodal transformers can transfer across language and vision
Encoding models have been used to assess how the human brain represents concepts in
language and vision. While language and vision rely on similar concept representations …
language and vision. While language and vision rely on similar concept representations …