Neuroscience

The Locomoting State Selectively Amplifies Activity of Sensitizing Neurons in Primary Visual Cortex

1. Antonio J Hinojosa
2. Yehor Kosiachkin
3. Sina E Dominiak
4. Benjamin D Evans
5. Leon Lagnado

• Curated by eLife

  eLife Assessment

  This manuscript presents a valuable analysis of how locomotion modulates the activity of different subtypes of cortical neurons in the mouse primary visual cortex, showing that locomotion more strongly increases responses in sensitizing than in depressing excitatory cells. This data is then used to constrain a model of the responses. While the data are very interesting, the analyses remain incomplete, in particular due to concerns surrounding the modelling.

Reviewed by eLife

Consciously detecting and recognizing a past visual word after its sensory trace is gone

1. Daphné Rimsky Robert
2. Matteo Lisi
3. Kevin Nguy
4. Roxane Jannin
5. Thomas Hardy
6. Nathan Beraud
7. Claire Sergent

Reviewed by preLights

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

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

• 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

MLIB: an easy-to-use Matlab toolbox for the analysis of extracellular spike data

1. Maik C. Stüttgen

Reviewed by Peer Community in Neuroscience

Neural Representation of Associative Threat Learning in Pulvinar Divisions, Lateral Geniculate Nucleus, and Mediodorsal Thalamus in Humans

1. Muhammad Badarnee
2. Zhenfu Wen
3. B Isabel Moallem
4. Stephen Maren
5. Mohammed R Milad

• Curated by eLife

  eLife Assessment

  This study provides valuable insights into the role of thalamic nuclei in associative threat and extinction learning, underpinned by a large dataset and rigorous, multipronged analyses. The evidence provided is solid, supporting the main conclusions. Minor analytical refinements notwithstanding, the manuscript will be of broad interest to researchers in learning and memory, fear, thalamic circuitry, and related mental health conditions.

Reviewed by eLife