[Demo list ] SCGB Investigators and Others June 2023

Multiplicative joint coding in preparatory activity for reaching sequence in macaque motor cortex

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

Emergence of belief-like representations through reinforcement learning

1. Jay A. Hennig
2. Sandra A. Romero Pinto
3. Takahiro Yamaguchi
4. Scott W. Linderman
5. Naoshige Uchida
6. Samuel J. Gershman

Coding of time with non-linear mixed selectivity in Prefrontal Cortex ensembles

1. Catherine A. Mikkelsen
2. Stephen J. Charczynski
3. Scott K. Brincat
4. Melissa R. Warden
5. Earl K. Miller
6. Marc W. Howard

Neural encoding of multiple motion speeds in visual cortical area MT

1. Xin Huang
2. Bikalpa Ghimire
3. Anjani Sreeprada Chakrala
4. Steven Wiesner

• Curated by eLife

  eLife assessment

  This study concerns how macaque visual cortical area MT represents stimuli composed of more than one speed of motion. The study is valuable because little is known about how the visual pathway segments and preserves information about multiple stimuli, and the study involves perceptual reports from both humans and one monkey regarding whether there are one or two speeds in the stimulus. The study presents compelling evidence that (on average) MT neurons represent the average of the two speeds, with a bias that accentuates the faster of the two speeds. Ultimately, this study raises intriguing questions about how exactly the response patterns in visual cortical area MT might preserve information about each speed, since such information could potentially be lost in an average response as described here, depending on assumptions about how MT activity is evaluated by other visual areas.

Reviewed by eLife

Simultaneous representation of multiple time horizons by entorhinal grid cells and CA1 place cells

1. Prannoy Chaudhuri-Vayalambrone
2. Michael Everett Rule
3. Marius Bauza
4. Marino Krstulovic
5. Pauline Kerekes
6. Stephen Burton
7. Timothy O’Leary
8. Julija Krupic

Wide-field calcium imaging of cortical activation and functional connectivity in externally- and internally-driven locomotion

1. Sarah L. West
2. Morgan L. Gerhart
3. Timothy J. Ebner

Trained recurrent neural networks develop phase-locked limit cycles in a working memory task

1. Matthijs Pals
2. Jakob H. Macke
3. Omri Barak

Somatic Calcium Signals from Layer II/III Motor Cortex for Continuous Neural Decoding

1. Ruixue Wang
2. Jiawei Han
3. Xiaoling Hu
4. Heecheon You
5. Shaomin Zhang

Gaze-centered gating and reactivation of value encoding in orbitofrontal cortex

1. Demetrio Ferro
2. Tyler Cash-Padgett
3. Maya Zhe Wang
4. Benjamin Hayden
5. Rubén Moreno-Bote

Brain control of bimanual movement enabled by recurrent neural networks

1. Darrel R. Deo
2. Francis R. Willett
3. Donald T. Avansino
4. Leigh R. Hochberg
5. Jaimie M. Henderson
6. Krishna V. Shenoy

Factorized visual representations in the primate visual system and deep neural networks

1. Jack W Lindsey
2. Elias B Issa

• Curated by eLife

  eLife assessment

  The study makes a valuable empirical contribution to our understanding of visual processing in primates and deep neural networks, with a specific focus on the concept of factorization. The analyses provide convincing evidence that high factorization scores are correlated with neural predictivity. This work will be of interest to systems neuroscientists studying vision and could inspire further research that ultimately may lead to better models of or a better understanding of the brain.

Reviewed by eLife

Latent representations in hippocampal network model co-evolve with behavioral exploration of task structure

1. Ian Cone
2. Claudia Clopath

Superior colliculus cell types bidirectionally modulate choice activity in frontal cortex

1. Alyse Thomas
2. Weiguo Yang
3. Catherine Wang
4. Sri Laasya Tipparaju
5. Guang Chen
6. Brennan Sullivan
7. Kylie Swiekatowski
8. Mahima Tatam
9. Charles Gerfen
10. Nuo Li

Learning shapes neural geometry in the prefrontal cortex

1. Michał J. Wójcik
2. Jake P. Stroud
3. Dante Wasmuht
4. Makoto Kusunoki
5. Mikiko Kadohisa
6. Nicholas E. Myers
7. Laurence T. Hunt
8. John Duncan
9. Mark G. Stokes

Nonlinear sensitivity to acoustic context is a stable feature of neuronal responses to complex sounds in auditory cortex of awake mice

1. Marios Akritas
2. Alex G Armstrong
3. Jules M Lebert
4. Arne F Meyer
5. Maneesh Sahani
6. Jennifer F Linden

• Curated by eLife

  eLife assessment

  This study provides important findings regarding the stability over time of the response properties of neurons in the auditory cortex, including their nonlinear sensitivity to sound context. The data obtained from chronic recordings combined with nonlinear stimulus-response estimation provide convincing evidence that auditory cortical representations are stable over a period of days to weeks. While this study should be of widespread interest to sensory neuroscientists, the paper would be strengthened by a more thorough assessment and discussion of the effects of context and of the stability of the responses, as well as by the inclusion of more information about the location and types of neurons that were sampled.

Reviewed by eLife

Exploration-exploitation mechanisms in recurrent neural networks and human learners in restless bandit problems

1. D. Tuzsus
2. A. Brands
3. I. Pappas
4. J. Peters

Visually evoked neuronal ensembles reactivate during sleep

1. Justin Lines
2. Rafael Yuste

The mechanics of correlated variability in segregated cortical excitatory subnetworks

1. Alex Negrón
2. Matthew P. Getz
3. Gregory Handy
4. Brent Doiron

Repetition plasticity in primary auditory cortex occurs across long timescales for spectrotemporally randomized pure-tones

1. Nasiru K. Gill
2. Nikolas A. Francis

Data-based large-scale models provide a window into the organization of cortical computations

1. Guozhang Chen
2. Franz Scherr
3. Wolfgang Maass