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  • Journal Club
  • admin
  • May 21, 2021
  • 283

Nature
High-performance brain-to-text communication via handwriting

https://www.nature.com/articles/s41586-021-03506-2

 

 

 

Cell
Phase precession in the human hippocampus and entorhinal cortex

https://www.cell.com/cell/fulltext/S0092-8674(21)00496-7

 

 

 


Science advances
Common coding of expected value and value uncertainty memories in the prefrontal cortex and basal ganglia output

https://advances.sciencemag.org/content/7/20/eabe0693

 

 

 

Nature Neuroscience
Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits

https://www.nature.com/articles/s41593-021-00857-x

 

 

 

Journal of neuroscience
Examining the Coding Strength of Object Identity and Nonidentity Features in Human Occipito-Temporal Cortex and Convolutional Neural Networks

https://www.jneurosci.org/content/41/19/4234

 

 

 

Scientific report
Visual response of ventrolateral prefrontal neurons and their behavior-related modulation

https://www.nature.com/articles/s41598-021-89500-0

 

 


bioRxiv
A novel approach to the functional classification of retinal ganglion cells

https://www.biorxiv.org/content/10.1101/2021.05.09.443323v1

 

Uncovering long-term existence of a silent short-term memory trace
https://www.biorxiv.org/content/10.1101/2021.05.08.443276v1

 

Generative perspective of the primary visual cortex
https://www.biorxiv.org/content/10.1101/2021.05.07.443208v1

 

Neural codes in early sensory areas maximize fitness
https://www.biorxiv.org/content/10.1101/2021.05.10.443388v1

 

Convolutional neural networks do not develop brain-like transformation tolerant visual representations
https://www.biorxiv.org/content/10.1101/2020.08.11.246934v2

 

Predicting the retinotopic organization of human visual cortex from anatomy using geometric deep learning
https://www.biorxiv.org/content/10.1101/2020.02.11.934471v3

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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,
291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
Tel: +82-42-350-6513,6573, Fax: +82-42-350-6510

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