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  • Journal Club
  • admin
  • Apr 02, 2022
  • 265

Nature

 

A stable hippocampal code in freely flying bats

https://www.nature.com/articles/s41586-022-04560-0

 

 

Nature neuroscience

 

Single-neuron projectome of mouse prefrontal cortex

https://www.nature.com/articles/s41593-022-01041-5

 

 

Nature Machine intelligence

 

Biological underpinnings for lifelong learning machines

https://www.nature.com/articles/s42256-022-00452-0

 

Large pre-trained language models contain human-like biases of what is right and wrong to do

https://www.nature.com/articles/s42256-022-00458-8

 

 

Nature communications

 

Fixational drift is driven by diffusive dynamics in central neural circuitry

https://www.nature.com/articles/s41467-022-29201-y

 

Acquiring new memories in neocortex of hippocampal-lesioned mice

https://www.nature.com/articles/s41467-022-29208-5

 

Numerosity tuning in human association cortices and local image contrast representations in early visual cortex

https://www.nature.com/articles/s41467-022-29030-z

 

Texture is encoded in precise temporal spiking patterns in primate somatosensory cortex

https://www.nature.com/articles/s41467-022-28873-w

 

 

PNAS

 

The neural substrate of spatial memory stabilization depends on the distribution of the training sessions

https://www.pnas.org/doi/10.1073/pnas.2120717119

 

 

Current Biology

 

Sequential sampling from memory underlies action selection during abstract decision-making

https://www.cell.com/current-biology/fulltext/S0960-9822(22)00405-5

 

 

Cell reports

 

Principles of GABAergic signaling in developing cortical network dynamics

https://www.cell.com/cell-reports/fulltext/S2211-1247(22)00312-6

 

Coarse-to-fine processing drives the efficient coding of natural scenes in mouse visual cortex

https://www.cell.com/cell-reports/fulltext/S2211-1247(22)00354-0

 

 

Journal of neuroscience

 

Distinct Medial Orbitofrontal–Striatal Circuits Support Dissociable Component Processes of Risk/Reward Decision-Making

https://www.jneurosci.org/content/42/13/2743

 

 

PLOS computational biology

 

Cortical oscillations support sampling-based computations in spiking neural networks

https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009753

 

 

Scientific reports

 

Neural spatio-temporal patterns of information processing related to cognitive conflict and correct or false recognitions

https://www.nature.com/articles/s41598-022-09141-9

 

Dimension of visual information interacts with working memory in monkeys and humans

https://www.nature.com/articles/s41598-022-09367-7

 

 

PLOS one

 

On the relationship between predictive coding and backpropagation

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0266102

 

 

Journal of Vision


Deep neural models for color classification and color constancy
https://jov.arvojournals.org/article.aspx?articleid=2778712

 

 

BioRxiv

 

Population Codes Enable Learning from Few Examples By Shaping Inductive Bias

https://www.biorxiv.org/content/10.1101/2021.03.30.437743v3

 

Predicting proprioceptive cortical anatomy and neural coding with topographic autoencoders

https://www.biorxiv.org/content/10.1101/2021.12.10.472161v2

 

Mapping whole-brain projections of anatomically defined prefrontal neurons using combined 3D convolution networks

https://www.biorxiv.org/content/10.1101/2022.03.31.486619v1

 

Feature blindness: a challenge for understanding and modelling visual object recognition
https://www.biorxiv.org/content/10.1101/2021.10.20.465074v3

Localized and Distributed Representations of Person Knowledge for Faces
https://www.biorxiv.org/content/10.1101/2022.03.27.485948v1

 

Retinotopic tiling of retinal ganglion cell axons at single-cell precision in the mouse superior colliculus

https://www.biorxiv.org/content/10.1101/2022.03.25.485790v1

 

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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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