[Demo list ] SCGB Investigators and Others June 2023

Behavioral strategy shapes activation of the Vip-Sst disinhibitory circuit in visual cortex

1. Alex Piet
2. Nick Ponvert
3. Douglas Ollerenshaw
4. Marina Garrett
5. Peter A. Groblewski
6. Shawn Olsen
7. Christof Koch
8. Anton Arkhipov

End-to-end deep learning approach to mouse behavior classification from cortex-wide calcium imaging

1. Takehiro Ajioka
2. Nobuhiro Nakai
3. Okito Yamashita
4. Toru Takumi

Neural Geometry from Mixed Sensorimotor Selectivity for Predictive Sensorimotor Control

1. Yiheng Zhang
2. Yun Chen
3. Tianwei Wang
4. He Cui

• Curated by eLife

  eLife assessment

  This useful study examines the neural activity in the motor cortex as a monkey reaches to intercept moving targets, focusing on how tuned single neurons contribute to an interesting overall population geometry. The presented results and analyses are solid, though the investigation of this novel task could be strengthened by clarifying the assumptions behind the single neuron analyses, and further analyses of the neural population activity and its relation to different features of behaviour.

Reviewed by eLife

Correlated signatures of social behavior in cerebellum and anterior cingulate cortex

1. Sung Won Hur
2. Karen Safaryan
3. Long Yang
4. Hugh T Blair
5. Sotiris C Masmanidis
6. Paul J Mathews
7. Daniel Aharoni
8. Peyman Golshani

• Curated by eLife

  eLife assessment

  Based on a technological advance which couples onboard calcium imaging with in vivo electrophysiology in freely behaving mice, this important work presents data about the modulation of some long range brain activity correlations during social interactions. Solid evidence shows that neural activity across cerebellum and cingulate cortex is more correlated during social behaviors than during non-social epochs. This study is of interest for a broad range of neurophysiologists.

Reviewed by eLife

Behavior-relevant top-down cross-modal predictions in mouse neocortex

1. Shuting Han
2. Fritjof Helmchen

When and why does motor preparation arise in recurrent neural network models of motor control?

1. Marine Schimel
2. Ta-Chu Kao
3. Guillaume Hennequin

• Curated by eLife

  eLife assessment

  This important study provides a new perspective on why preparatory activity occurs before the onset of movement. The authors report that when there is a cost on the inputs, the optimal inputs should start before the desired network output for a wide variety of recurrent networks. The authors present compelling evidence by combining mathematically tractable analyses in linear networks and numerical simulation in nonlinear networks.

Reviewed by eLife