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  • Journal Club
  • admin
  • Oct 29, 2021
  • 237

Nature
The orbitofrontal cortex maps future navigational goals

https://www.nature.com/articles/s41586-021-04042-9


 


Science advances
Theta oscillations coordinate grid-like representations between ventromedial prefrontal and entorhinal cortex

https://www.science.org/doi/10.1126/sciadv.abj0200

 

 

 

Nature Neuroscience
Visual and linguistic semantic representations are aligned at the border of human visual cortex

https://www.nature.com/articles/s41593-021-00921-6

 

 

 

Nature communications
Partially overlapping spatial environments trigger reinstatement in hippocampus and schema representations in prefrontal cortex

https://www.nature.com/articles/s41467-021-26560-w

 

Concept neurons in the human medial temporal lobe flexibly represent abstract relations between concepts
https://www.nature.com/articles/s41467-021-26327-3

 

 

 

Communication biology
Visual stimulus features that elicit activity in object-vector cells

https://www.nature.com/articles/s42003-021-02727-5

 

 

 

Journal of neuroscience
A Neurocomputational Model for Intrinsic Reward

https://www.jneurosci.org/content/41/43/8963

 

Cognitive and Neural State Dynamics of Narrative Comprehension
https://www.jneurosci.org/content/41/43/8972

 

 

 

Current Biology
Attention improves information flow between neuronal populations without changing the communication subspace

https://www.cell.com/current-biology/fulltext/S0960-9822(21)01344-0

 

 

 

PNAS
Visual exposure enhances stimulus encoding and persistence in primary cortex

https://www.pnas.org/content/118/43/e2105276118

 

An uncommon neuronal class conveys visual signals from rods and cones to retinal ganglion cells
https://www.pnas.org/content/118/44/e2104884118

 

 

 

Scientific report
Spatial representability of neuronal activity

https://www.nature.com/articles/s41598-021-00281-y

 

 


Neural Networks
LGN-CNN: A biologically inspired CNN architecture

https://www.sciencedirect.com/science/article/pii/S0893608021003865

 

 

 

Journal of Vision
Evaluating the progress of deep learning for visual relational concepts

https://jov.arvojournals.org/article.aspx?articleid=2777974

 

ImageNet-trained deep neural networks exhibit illusion-like response to the Scintillating grid
https://jov.arvojournals.org/article.aspx?articleid=2778014

 

 

 

bioRxiv
Neural knowledge assembly in humans and deep networks

https://www.biorxiv.org/content/10.1101/2021.10.21.465374v1

 

Visual space curves before eye movements
https://www.biorxiv.org/content/10.1101/2021.10.13.464140v3

 

Differential patterns of change in brain connectivity resulting from traumatic brain injury
https://www.biorxiv.org/content/10.1101/2021.10.27.466136v1

 

Deep neural networks and visuo-semantic models explain complementary components of human ventral-stream representational dynamics
https://www.biorxiv.org/content/10.1101/2021.10.25.465583v1

 

The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
https://www.biorxiv.org/content/10.1101/2021.06.18.448989v3
 

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Institute for Basic Science KAIST Campus (E22) A202-1,
Department of Brain and Cognitive Sciences, Department of Bio and Brain Engineering, KAIST,
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Tel: +82-42-350-6513,6573, Fax: +82-42-350-6510

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