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  • Journal Club
  • admin
  • Oct 07, 2022
  • 235

Nature
Discovering faster matrix multiplication algorithms with reinforcement learning

https://www.nature.com/articles/s41586-022-05172-4

 

 

 

Neuron
Multistability, perceptual value, and internal foraging

https://www.cell.com/neuron/fulltext/S0896-6273(22)00669-9

 

 

 

Nature communications
A neuronal prospect theory model in the brain reward circuitry

https://www.nature.com/articles/s41467-022-33579-0

 

Recurrent neural networks with explicit representation of dynamic latent variables can mimic behavioral patterns in a physical inference task
https://www.nature.com/articles/s41467-022-33581-6

 

Schemas provide a scaffold for neocortical integration of new memories over time
https://www.nature.com/articles/s41467-022-33517-0

 

 

 

PNAS
In vivo extracellular recordings of thalamic and cortical visual responses reveal V1 connectivity rules

https://www.pnas.org/doi/10.1073/pnas.2207032119

 

A topological solution to object segmentation and tracking
https://www.pnas.org/doi/10.1073/pnas.2204248119

 

 

 

Scientific report
Modelling brain dynamics by Boolean networks

https://www.nature.com/articles/s41598-022-20979-x

 

 

 

PLOS computational biology
Cross-scale excitability in networks of quadratic integrate-and-fire neurons

https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010569


 

 

Frontiers in computational neuroscience
Analysis based on neural representation of natural object surfaces to elucidate the mechanisms of a trained AlexNet model

https://www.frontiersin.org/articles/10.3389/fncom.2022.979258/full

 

 

 

bioRxiv
Geometric constraints on human brain function

https://www.biorxiv.org/content/10.1101/2022.10.04.510897v1

 

Visual Perceptual Learning of Feature Conjunctions Leverages Non-linear Mixed Selectivity
https://www.biorxiv.org/content/10.1101/2022.10.04.510801v1

 

Biological connectomes as a representation for the architecture of artificial neural networks
https://www.biorxiv.org/content/10.1101/2022.09.30.510374v2

제목 날짜
[Publication] Song JH & Choi W (Ph.D Candidate) published a paper in Cell Reports   2020.06.08
[Publication] Seungdae Baek, Min Song, Jaeson Jang & Gwangsu Kim published a paper in Nature Communications   2021.12.22
[Publication] Min Song, Jaeson Jang & Gwangsu Kim published a paper in Cell Reports   2021.01.19
[Publication] Jinwoo Kim & Min Song (Ph.D Candidate) published a paper in Journal of Neuroscience   2020.08.20
[Publication] Jang JS (Ph.D) published a paper in Annals of Neurology   2021.08.26
[Publication] Jaeson Jang & Min Song (Ph.D Candidate) published a paper in Cell Reports   2020.03.11
[Publication] Hyeonsu Lee, Woochul Choi & Dongil Lee published a paper in Cell Reports   2023.08.08
[Publication] Gwangsu Kim, Jaeson Jang, Seungdae Baek & Min Song published a paper in Science Advances   2021.01.05
[Publication] Choi WC (Post doc) published a paper in Nature Communications   2021.08.27
[Positions] Vacancy announcement for post-doctoral position from VSNN lab in KAIST   2020.04.09
[Positions] Recruitment of post-doctoral position from VSNN lab in KAIST   2020.07.06
[Positions] Recruitment of post-doctoral position and part-time workers from VSNN lab in KAIST (21.05.11~21.05.26)   2021.05.10
[Positions] Recruitment of post-doctoral position and part-time workers from VSNN lab in KAIST   2021.04.06
[Positions] Recruitment of post-doctoral position and full-time researcher from VSNN lab in KAIST (23.01.12~23.01.25)   2023.01.11
[Positions] Recruitment of part-time workers from VSNN lab in KAIST   2020.04.29
[Positions] Recruitment of part-time workers from COGI lab in KAIST (24.08.05~24.08.19)   2024.08.05
[Positions] Recruitment of part-time workers from COGI lab in KAIST (24.06.07~24.06.21)   2024.06.05
[Positions] Recruitment of part-time workers from COGI lab in KAIST (23.07.18~23.08.02)   2023.07.17
[News] Prof. Se-Bum Paik selected as KAIST Singularity Professor   2021.03.16
[News] KAIST Breakthroughs 50 : Emergence of number sense in untrained neural networks   2021.09.02

Institute for Basic Science KAIST Campus (E22) A202-1,
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Tel: +82-42-350-6513,6573, Fax: +82-42-350-6510

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