eLife

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1. We couldn't get details of this article at this time:
   10.1101/2024.12.16.628638

2. We couldn't get details of this article at this time:
   10.1101/2024.12.13.628461

3. Trial-by-trial inter-areal interactions in visual cortex in the presence or absence of visual stimulation

   This article has 8 authors:

   1. Dianna Hidalgo
   2. Giorgia Dellaferrera
   3. Giordano Ramos-Traslosheros
   4. Will Xiao
   5. Carlos R Ponce
   6. Maria Papadopouli
   7. Stelios Smirnakis
   8. Gabriel Kreiman

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This study investigates trial-by-trial intra- and inter-cortical interactions in the visual cortex of the mouse and the monkey. The authors find that activity in one layer (in mice) or one area (in monkeys) can partially predict neural activity in another layer or area on the single-trial level in different experimental contexts. This valuable finding expands previously known contributions of stimulus-independent downstream activity to neural responses in the visual cortex by demonstrating how these change under varying visual stimuli as well as in the absence of visual stimulation. While the methodology is solid, the juxtaposition of mouse and monkey data from different modalities and at difference scales limits the interpretability of the observations and forces superficial comparisons. More in-depth focus on either data set in isolation may reveal more nuanced understanding of cortical interactions rather than trying to draw parallels between very different datasets.

   Reviewed by eLife

4. We couldn't get details of this article at this time:
   10.1101/2024.11.29.626097

5. We couldn't get details of this article at this time:
   10.1101/2024.11.21.624706

6. We couldn't get details of this article at this time:
   10.1101/2023.12.10.571022

7. How the layer-dependent ratio of excitatory to inhibitory cells shapes cortical coding in balanced networks

   This article has 3 authors:

   1. Arezoo Alizadeh
   2. Bernhard Englitz
   3. Fleur Zeldenrust

   This article has been curated by 1 group:

   • Curated by eLife

     eLife assessment

     The study presents a useful computational analysis of how the ratio between excitatory and inhibitory neural numbers affects coding capacity. The authors show that increasing the proportion of inhibitory neurons (as observed in upper cortical layers compared to the input recipient layer 4) increases the dimensionality of neural activity and improves the encoding of time-varying stimuli. However, the evidence about the role of the inhibitory population in coding is incomplete because numerical results are neither supported by analytical mathematical results nor include controls for changes in firing thresholds or subtypes of inhibitory neurons.

   Reviewed by eLife

8. We couldn't get details of this article at this time:
   10.1101/2024.10.24.619991

9. We couldn't get details of this article at this time:
   10.1101/2024.10.18.619001

10. We couldn't get details of this article at this time:
    10.1101/2024.08.12.607578