From the bioRxiv: A Selection of Recently Posted Papers from SCGB Investigators and Others
Neural population dynamics underlying evidence accumulation in multiple rat brain regions
Brian DePasquale, Jonathan W Pillow, and Carlos Brody
bioRxiv posted 29 October 2021
Spontaneous emergence of topologically robust grid cell modules: A multiscale instability theory
Mikail Khona, Sarthak Chandra, and Ila Fiete
bioRxiv posted 29 October 2021
Offline memory replay in recurrent neuronal networks emerges from constraints on online dynamics
Aaron D Milstein, Sarah Tran, Grace Ng, and Ivan Soltesz
bioRxiv posted 28 October 2021
Long-term stability of neural activity in the motor system
Kristopher T. Jensen, Naama Kadmon Harpaz, Ashesh K. Dhawale, Steffen B. E. Wolff, and Bence Ölveczky
bioRxiv posted 28 October 2021
Generalized Shape Metrics on Neural Representations
Alex H. Williams, Erin Kunz, Simon Kornblith, Scott W. Linderman
arXiv posted 27 October 2021
Sensory prediction errors increase coding efficiency in mouse visual cortex through gain amplification
Matthew F Tang, Ehsan Kheradpezhouh, Conrad CY Lee, J Edwin Dickinson, Jason B Mattingley, and Ehsan Arabzadeh
bioRxiv posted 26 October 2021
A positively Tuned Voltage Indicator Reveals Electrical Correlates of Calcium Activity in the Brain
Stephen Wenceslao Evans, Dongqing Shi, Mariya Chavarha, Mark Houston Plitt, Jiannis Taxidis, Blake Madruga, Siri Camee Van Keulen, Michelle Pang, Sharon Su, Fuu-Jiun Hwang, Guofeng Zhang, Austin Reese, Lagnajeet Pradhan, Jiang Lan Fan, Sungmoo Lee, Yu Liu, Carl-Mikael Suomivuori, Dongyun Jiang, Adrian Negrean, Sui Wang, Na Ji, Tom Clandinin, Ron Dror, Guoqiang Guo Bi, Chris Donald Makinson, Peyman Golshani, Lisa M. Giocomo, Attila Losonczy, Jun B. Ding, and Michael Z. Lin
bioRxiv posted 23 October 2021
Feature representation under crowding in V1 and V4 neuronal populations
Christopher A Henry and Adam Kohn
bioRxiv posted 23 October 2021
Flexible neural coding in sensory, parietal, and frontal cortices during goal-directed virtual navigation
Jean-Paul Noel, Edoardo Balzani, Eric Avila, Kaushik Lakshminarasimhan, Stefania Bruni, Panagiotis Alefantis, Cristina Savin, and Dora Angelaki
bioRxiv posted 24 October 2021
Systematic reduction of the dimensionality of natural scenes allows accurate predictions of retinal ganglion cell spike outputs.
Julian Freedland and Fred Rieke
bioRxiv posted 22 October 2021
Abstract representations emerge naturally in neural networks trained to perform multiple tasks
Jeffrey Johnston and Stefano Fusi
bioRxiv posted 21 October 2021
Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs
Avinash Baidya, Joel Dapello, James J. DiCarlo, Tiago Marques
arXiv posted 20 October 2021
Estimating null and potent modes of feedforward communication in a computational model of cortical activity
Jean-Philippe Thivierge and Artem Pilzak
bioRxiv posted 19 October 2021
M1 dynamics share similar inputs for initiating and correcting movement
Peter J Malonis, Nicholas G Hatsopoulos, Jason N MacLean, and Matthew T Kaufman
bioRxiv posted 19 October 2021
Probing the relationship between linear dynamical systems and low-rank recurrent neural network models
Adrian Valente, Srdjan Ostojic, Jonathan Pillow
arXiv posted 19 October 2021
TRAKR – A reservoir-based tool for fast and accurate classification of neural time-series patterns
Muhammad Furqan Afzal, Christian David Márton, Erin L. Rich, and Kanaka Rajan
bioRxiv posted 15 October 2021
Dual polarity voltage imaging reveals subthreshold dynamics and concurrent spiking patterns of multiple neuron-types
Madhuvanthi Kannan, Ganesh Vasan, Simon Haziza, Cheng Huang, Radek Chrapkiewicz, Junjie Luo, Jessica A Cardin, Mark J Schnitzer, and Vincent A Pieribone
bioRxiv posted 15 October 2021
Feature-based gating of cortical information transmission
Sonia Baloni Ray, Daniel Kaping, and Stefan Treue
bioRxiv posted 12 October 2021
Low-dimensional encoding of decisions in parietal cortex reflects long-term training history
Kenneth W Latimer and David J Freedman
bioRxiv posted 9 October 2021
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data
Marine Schimel, Ta-Chu Kao, Kristopher T. Jensen, and Guillaume Hennequin
bioRxiv posted 9 October 2021
Covert valuation for information sampling and choice
James Lawrence Butler, Timothy H. Muller, Sebastijan Veselic, W.M. Nishantha Malalasekera, Laurence T Hunt, Timothy E.J. Behrens, and Steven W. Kennerley
bioRxiv posted 9 October 2021
A Minimum Perturbation Theory of Deep Perceptual Learning
Haozhe Shan and Haim Sompolinsky
bioRxiv posted 7 October 2021
Differential geometry methods for constructing manifold-targeted recurrent neural networks.
Federico Claudi and Tiago Branco
bioRxiv posted 7 October 2021
CNN MouseNet: A biologically constrained convolutional neural network model for mouse visual cortex
Jianghong Shi, Bryan Tripp, Eric Shea-Brown, Stefan Mihalas, and Michael Buice
bioRxiv posted 5 October 2021
The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus
Michele Nardin, Karola Kaefer, and Jozsef Csicsvari
bioRxiv posted 2 October 2021
Higher-order olfactory neurons in the lateral horn supports odor valence and odor identity coding in Drosophila
Sudeshna Das Chakraborty, Hetan Chang, Bill S Hansson, and Silke Sachse
bioRxiv posted 1 October 2021
Small, correlated changes in synaptic connectivity may facilitate rapid motor learning
Barbara Feulner, Matthew G. Perich, Raeed H. Chowdhury, Lee E. Miller, Juan A. Gallego, and Claudia Clopath
bioRxiv posted 1 October 2021
