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  • Journal Club
  • admin
  • Feb 04, 2022
  • 223

Neuron


Context-dependent persistency as a coding mechanism for robust and widely distributed value coding
https://www.cell.com/neuron/fulltext/S0896-6273(21)00891-6
 

 

Nature communications

 

Constructing neural network models from brain data reveals representational transformations linked to adaptive behavior

https://www.nature.com/articles/s41467-022-28323-7

 

Automatic mapping of multiplexed social receptive fields by deep learning and GPU-accelerated 3D videography

https://www.nature.com/articles/s41467-022-28153-7

 

Event boundaries shape temporal organization of memory by resetting temporal context

https://www.nature.com/articles/s41467-022-28216-9

 

 

PNAS

 

Novel stimuli evoke excess activity in the mouse primary visual cortex

https://www.pnas.org/content/119/5/e2108882119

 

Hierarchical timescales in the neocortex: Mathematical mechanism and biological insights

https://www.pnas.org/content/119/6/e2110274119

 

 

Current Biology

 

Population temporal structure supplements the rate code during sensorimotor transformations

https://www.cell.com/current-biology/fulltext/S0960-9822(22)00026-4

 

The role of state uncertainty in the dynamics of dopamine

https://www.cell.com/current-biology/fulltext/S0960-9822(22)00036-7

 

Flexible encoding of objects and space in single cells of the dentate gyrus

https://www.cell.com/current-biology/fulltext/S0960-9822(22)00034-3

 

 

PLOS biology

 

A cortical network processes auditory error signals during human speech production to maintain fluency

https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3001493

 

 

Communications biology

 

Cortical neural dynamics unveil the rhythm of natural visual behavior in marmosets

https://www.nature.com/articles/s42003-022-03052-1

 

 

Journal of neuroscience

 

Distributed and Localized Dynamics Emerge in the Mouse Neocortex during Reach-to-Grasp Behavior

https://www.jneurosci.org/content/42/5/777

 

Category-Biased Neural Representations Form Spontaneously during Learning That Emphasizes Memory for Specific Instances

https://www.jneurosci.org/content/42/5/865

 

 

PLOS computational biology

 

Criticality enhances the multilevel reliability of stimulus responses in cortical neural networks

https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009848

 

Traveling waves in the prefrontal cortex during working memory

https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009827

 

Constrained brain volume in an efficient coding model explains the fraction of excitatory and inhibitory neurons in sensory cortices

https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009642

 

 

Scientific reports

 

A specific brain network for a social map in the human brain

https://www.nature.com/articles/s41598-022-05601-4

 

 

Frontiers in Computational Neuroscience


The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions
https://www.frontiersin.org/articles/10.3389/fncom.2022.760085/full

 

 

BioRxiv 

 

Identifying inputs to visual projection neurons in Drosophila lobula by analyzing connectomic data

https://www.biorxiv.org/content/10.1101/2022.02.02.478876v1

 

Activity in perirhinal and entorhinal cortex predicts perceived visual similarities among category exemplars with highest precision

https://www.biorxiv.org/content/10.1101/2021.01.21.427602v2

 

Oscillations and variability in neuronal systems: interplay of autonomous transient dynamics and fast deterministic fluctuations

https://www.biorxiv.org/content/10.1101/2021.06.14.448371v3

 

A model of working memory for latent representations

https://www.biorxiv.org/content/10.1101/2021.02.07.430171v4

 

Robust deep learning object recognition models rely on low frequency information in natural images
https://www.biorxiv.org/content/10.1101/2022.01.31.478509v1

Stable 3D Head Direction Signals in the Primary Visual Cortex
https://www.biorxiv.org/content/10.1101/2020.09.04.283762v2

A general decoding strategy explains the relationship between behavior and correlated variability
https://www.biorxiv.org/content/10.1101/2020.10.08.331850v3

Origin of hexagonal metric of grid cells in navigating spaces
https://www.biorxiv.org/content/10.1101/2022.01.29.478346v1

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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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