Neuroscience

The meningeal transcriptional response to traumatic brain injury and aging

1. Ashley C Bolte
2. Daniel A Shapiro
3. Arun B Dutta
4. Wei Feng Ma
5. Katherine R Bruch
6. Michael A Kovacs
7. Ana Royo Marco
8. Hannah E Ennerfelt
9. John R Lukens

• Curated by eLife

  Evaluation Summary:

  Identification of transcriptional phenotypes driven by TBI across meningeal immune cell subsets and the effect of aging on these responses is an important and not well-defined area in the field. Multiple complementary and high-end approaches are taken to demonstrate the long-lasting effects that TBI drives in the brain and support the main findings of the manuscript. This manuscript will be of interest to readers in the field(s) of neuroimmunology, aging, and traumatic brain injury.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #2 agreed to share their name with the authors.)

Reviewed by eLife

A stochastic model of hippocampal synaptic plasticity with geometrical readout of enzyme dynamics

1. Yuri Elias Rodrigues
2. Cezar M Tigaret
3. Hélène Marie
4. Cian O'Donnell
5. Romain Veltz

• Curated by eLife

  Evaluation Summary:

  This paper proposes a computational model that combines biologically detailed elements with more simplified components to provide a comprehensive model of synaptic plasticity. It includes the stochastic character of many of the biophysical processes and introduces a new way to readout the plasticity cascade. It is evaluated against impressively many published experimental studies of hippocampal plasticity. The paper should be of interest not only to computational neuroscience but also to the synaptic neuroscience community but will benefit from a clearer description of assumptions and weaknesses, and a clearer separation of the essential elements in this model from the less critical elements.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #1 agreed to share their name with the authors.)

Reviewed by eLife

Brain atlas for glycoprotein hormone receptors at single-transcript level

1. Vitaly Ryu
2. Anisa Gumerova
3. Funda Korkmaz
4. Seong Su Kang
5. Pavel Katsel
6. Sari Miyashita
7. Hasni Kannangara
8. Liam Cullen
9. Pokman Chan
10. TanChun Kuo
11. Ashley Padilla
12. Farhath Sultana
13. Soleil A Wizman
14. Natan Kramskiy
15. Samir Zaidi
16. Se-Min Kim
17. Maria I New
18. Clifford J Rosen
19. Ki A Goosens
20. Tal Frolinger
21. Vahram Haroutunian
22. Keqiang Ye
23. Daria Lizneva
24. Terry F Davies
25. Tony Yuen
26. Mone Zaidi

• Curated by eLife

  Evaluation Summary:

  This paper will be very interesting to the large class of neuroscientists who study functional roles of glycoprotein hormone receptors in the central nervous system. It provides detailed tissue-selective gene and receptor distributions of the three anterior pituitary hormones, and thus likely facilitates further relevant studies by other scientists.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #1, Reviewer #2 and Reviewer #3 agreed to share their name with the authors.)

Reviewed by eLife

Neural assemblies uncovered by generative modeling explain whole-brain activity statistics and reflect structural connectivity

1. Thijs L van der Plas
2. Jérôme Tubiana
3. Guillaume Le Goc
4. Geoffrey Migault
5. Michael Kunst
6. Herwig Baier
7. Volker Bormuth
8. Bernhard Englitz
9. Georges Debrégeas

Reviewed by Review Commons

Evolution of neural activity in circuits bridging sensory and abstract knowledge

1. Francesca Mastrogiuseppe
2. Naoki Hiratani
3. Peter Latham

• Curated by eLife

  Evaluation Summary:

  The findings of the paper are of interest to scientists studying the learning of abstract representations. It provides insights into how feedforward networks evolve during a process of learning to map stimuli onto abstract classes via gradient descent. The results are appealing and the analyses thorough. As well, the paper makes some experimental predictions. It could benefit from a deeper discussion on how the findings may generalize to biologically more realistic networks and tasks.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #1 agreed to share their name with the authors.)

Reviewed by eLife

Distinct neurexin-cerebellin complexes control AMPA- and NMDA-receptor responses in a circuit-dependent manner

1. Jinye Dai
2. Kif Liakath-Ali
3. Samantha Rose Golf
4. Thomas C Südhof

• Curated by eLife

  Evaluation Summary:

  This manuscript is of broad interest to neuroscientists studying mechanisms regulating synapse formation and maintenance. Following up on the previous work by the authors on trans-synaptic signaling complexes involving neurexins and cerebellins, this study shows that the basic framework of the complexes operates broadly across different synapses in the brain albeit with subtle differences. The experiments are carefully executed, while some key conclusions could be better supported by additional data.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. The reviewers remained anonymous to the authors.)

Reviewed by eLife

Normative decision rules in changing environments

1. Nicholas W Barendregt
2. Joshua I Gold
3. Krešimir Josić
4. Zachary P Kilpatrick

• Curated by eLife

  Evaluation Summary:

  This paper investigates scenarios in which the environment changes during the course of a decision, and shows that optimal behavior can be highly complex. It will be of broad interest to researchers in psychology, behavioural economics, and neuroscience interested in decision-making in real-world tasks. It also awaits detailed empirical testing.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #3 agreed to share their name with the authors.)

Reviewed by eLife

Self-organization of songbird neural sequences during social isolation

1. Emily L Mackevicius
2. Shijie Gu
3. Natalia I Denisenko
4. Michale S Fee

• Curated by eLife

  Evaluation Summary:

  Adult zebra finch song is highly stereotyped, and it is driven by correspondingly stereotyped neural sequences in premotor cortical nucleus HVC. By imaging HVC activity in juvenile birds isolated from social contact with tutors, the authors discover that stereotyped HVC sequences can exist even without exposure to tutor song. Interestingly, after tutoring, existing sequences in the HVC of isolate birds transitioned from being uncoupled to vocal output to highly coupled to newly copied tutor syllables. Together, these data provide a fascinating glimpse into mechanistic foundations of how nature and nurture work together to a learned motor sequence.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #2 agreed to share their name with the authors.)

Reviewed by eLife

Spatiotemporal properties of glutamate input support direction selectivity in the dendrites of retinal starburst amacrine cells

1. Prerna Srivastava
2. Geoff de Rosenroll
3. Akihiro Matsumoto
4. Tracy Michaels
5. Zachary Turple
6. Varsha Jain
7. Santhosh Sethuramanujam
8. Benjamin L Murphy-Baum
9. Keisuke Yonehara
10. Gautam Bhagwan Awatramani

• Curated by eLife

  Evaluation Summary:

  This is an important paper that addresses a key mechanism that underlies the canonical computation of direction selectivity in the retina. By using fluorescence imaging of glutamate release from excitatory interneurons combined with a computational model of dendritic integration, the authors make a convincing case that the kinetics of glutamate release contributes to the direction-selectivity of individual neural processes in retinal neurons. This work will appeal to visual neuroscientists as well as cellular physiologists interested in dendritic computations.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #3 agreed to share their name with the authors.)

Reviewed by eLife

Postsynaptic plasticity of cholinergic synapses underlies the induction and expression of appetitive memories in Drosophila

1. Carlotta Pribbenow
2. Yi-chun Chen
3. Michael-Marcel Heim
4. Desiree Laber
5. Silas Reubold
6. Eric Reynolds
7. Isabella Balles
8. Raquel Suárez Grimalt
9. Carolin Rauch
10. Jörg Rösner
11. Gregor Lichtner
12. Sridhar R. Jagannathan
13. Tania Fernández-d.V. Alquicira
14. David Owald

• Curated by eLife

  Evaluation Summary:

  Synaptic plasticity can take place on the presynaptic and/or postsynaptic sites, and these two sites of plasticity are known to involve distinct mechanisms. Using a combined approach of physiology, Drosophila genetics, and behaviour, this study provides evidence that postsynaptic mechanisms underlie plasticity for olfactory learning. This complements the field knowledge that olfactory associative learning largely relies on the presynaptic mechanism in mushroom body neurons. The paper also emphasizes the similarities in learning and memory mechanisms between vertebrates and invertebrates.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #1 agreed to share their name with the authors.)

Reviewed by eLife