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  • Journal Club
  • admin
  • May 13, 2022
  • 149

Nature

 

Revival of light signalling in the postmortem mouse and human retina

https://www.nature.com/articles/s41586-022-04709-x

 

 

Nature communications

 

Dissociable multi-scale patterns of development in personalized brain networks

https://www.nature.com/articles/s41467-022-30244-4

 

 

PNAS

 

Anterior thalamic circuits crucial for working memory

https://www.pnas.org/doi/10.1073/pnas.2118712119

 

 

Current Biology

 

A robust receptive field code for optic flow detection and decomposition during self-motion

https://www.cell.com/current-biology/fulltext/S0960-9822(22)00666-2

 

 

Cell reports

 

Movement-specific signaling is differentially distributed across motor cortex layer 5 projection neuron classes

https://www.cell.com/cell-reports/fulltext/S2211-1247(22)00568-X

 

A cerebellar origin of feedforward inhibition to the motor cortex in non-human primates

https://www.cell.com/cell-reports/fulltext/S2211-1247(22)00570-8

 

 

Journal of neuroscience

 

Foundational Number Sense Training Gains Are Predicted by Hippocampal–Parietal Circuits

https://www.jneurosci.org/content/42/19/4000

 

 

Frontiers in Computational Neuroscience


The Face Inversion Effect in Deep Convolutional Neural Networks
https://www.frontiersin.org/articles/10.3389/fncom.2022.854218/full

 


bioRxiv


Temporal dynamics of neural responses in human visual cortex
https://www.biorxiv.org/content/10.1101/2021.08.08.455547v3

The statistical power of three monkeys
https://www.biorxiv.org/content/10.1101/2022.05.10.491373v1

 

Baseline control of optimal performance in recurrent neural networks

https://www.biorxiv.org/content/10.1101/2022.05.11.491436v1

 

Existing function in primary visual cortex is not perturbed by new skill acquisition of a non-matched sensory task

https://www.biorxiv.org/content/10.1101/2021.02.08.430302v2

 

Efficient neural codes naturally emerge through gradient descent learning

https://www.biorxiv.org/content/10.1101/2022.05.11.491548v1

 

Abstract representations emerge naturally in neural networks trained to perform multiple tasks

https://www.biorxiv.org/content/10.1101/2021.10.20.465187v3

 

 

 

제목 날짜
[Awards] Youngjin Park (Ph.D Candidate) got the travel award in Cosyne 2020   2020.01.29
[Publication] Choi WC (Post doc) published a paper in Nature Communications   2021.08.27
[News] Prof. Se-Bum Paik selected as KAIST Singularity Professor   2021.03.16
[Publication] Song JH & Choi W (Ph.D Candidate) published a paper in Cell Reports   2020.06.08
[Positions] Recruitment of part-time workers from VSNN lab in KAIST   2020.04.29
[Publication] Jang JS (Ph.D) published a paper in Annals of Neurology   2021.08.26
21.04.16 Journal alert   2021.04.16
20.06.19 Journal alert   2020.06.19
19.01.31 Journal alert   2020.02.03
[Awards] Min Song (Ph.D Candidate), Hyeonsu Lee (M.S. candidate) got the best poster presentation awards in cbrain 2017   2019.06.28
[Awards] Gwangsu Kim (Ph.D Candidate) got the best poster presentation award in KPS 2018   2019.06.28
[Publication] Jinwoo Kim & Min Song (Ph.D Candidate) published a paper in Journal of Neuroscience   2020.08.20
21.06.11 Journal alert   2021.06.11
[Publication] Seungdae Baek, Min Song, Jaeson Jang & Gwangsu Kim published a paper in Nature Communications   2021.12.22
[Publication] Jaeson Jang & Min Song (Ph.D Candidate) published a paper in Cell Reports   2020.03.11
21.04.24 Journal alert   2021.04.24
[Positions] Recruitment of post-doctoral position and part-time workers from VSNN lab in KAIST   2021.04.06
[News] Dr. Choi received Sejong Science Fellowship   2021.03.16
[Positions] Recruitment of post-doctoral position from VSNN lab in KAIST   2020.07.06
[Publication] Min Song, Jaeson Jang & Gwangsu Kim published a paper in Cell Reports   2021.01.19

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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