[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

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, reactivation, and reevaluation of economic value in orbitofrontal cortex

1. Demetrio Ferro
2. Tyler Cash-Padgett
3. Maya Zhe Wang
4. Benjamin Y. 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

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. Mark J. Buckley
7. Rui Ponte Costa
8. Nicholas E. Myers
9. Laurence T. Hunt
10. John Duncan
11. 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