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Christopher Versteeg
Christopher Versteeg
Emory University
Verified email at u.northwestern.edu
Title
Cited by
Cited by
Year
Modern machine learning as a benchmark for fitting neural responses
AS Benjamin, HL Fernandes, T Tomlinson, P Ramkumar, C VerSteeg, ...
Frontiers in computational neuroscience 12, 317343, 2018
672018
Hip and ankle responses for reactive balance emerge from varying priorities to reduce effort and kinematic excursion: A simulation study
CS Versteeg, LH Ting, JL Allen
Journal of biomechanics 49 (14), 3230-3237, 2016
332016
Methodological considerations for a chronic neural interface with the cuneate nucleus of macaques
AK Suresh, JE Winberry, C Versteeg, R Chowdhury, T Tomlinson, ...
Journal of Neurophysiology 118 (6), 3271-3281, 2017
262017
Encoding of limb state by single neurons in the cuneate nucleus of awake monkeys
C Versteeg, JM Rosenow, SJ Bensmaia, LE Miller
Journal of neurophysiology 126 (2), 693-706, 2021
222021
Modern machine learning outperforms GLMs at predicting spikes
AS Benjamin, HL Fernandes, T Tomlinson, P Ramkumar, C VerSteeg, ...
bioRxiv, 111450, 2017
182017
Cuneate nucleus: The somatosensory gateway to the brain
C Versteeg, RH Chowdhury, LE Miller
Current opinion in physiology 20, 206-215, 2021
152021
Expressive architectures enhance interpretability of dynamics-based neural population models
AR Sedler, C Versteeg, C Pandarinath
Neurons, behavior, data analysis, and theory 2023, 2023
82023
Proprioception: a sense to facilitate action
KP Blum, C Versteeg, J Sombeck, RH Chowdhury, LE Miller
Somatosensory feedback for neuroprosthetics, 41-76, 2021
82021
Modulation of cutaneous responses in the cuneate nucleus of macaques during active movement
Q He, CS Versteeg, AK Suresh, J Rosenow, LE Miller, SJ Bensmaia
bioRxiv, 2021.11. 15.468735, 2021
72021
Modern machine learning far outperforms GLMs at predicting spikes. bioRxiv
AS Benjamin, HL Fernandes, T Tomlinson, P Ramkumar, C VerSteeg, ...
72017
Task-driven neural network models predict neural dynamics of proprioception
AM Vargas, A Bisi, AS Chiappa, C Versteeg, LE Miller, A Mathis
Cell 187 (7), 1745-1761. e19, 2024
62024
Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity
C Versteeg, AR Sedler, JD McCart, C Pandarinath
ArXiv, 2023
22023
Dynamical feedback control: motor cortex as an optimal feedback controller based on neural dynamics
C Versteeg, L Miller
Preprints, 2022
22022
Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models
A Marin Vargas, A Bisi, AS Chiappa, C Versteeg, LE Miller, A Mathis
EPFL Infoscience, 2024
2024
Task-driven neural network models predict neural dynamics of proprioception: Synthetic muscle spindle datasets
A Marin Vargas, A Bisi, AS Chiappa, C Versteeg, LE Miller, A Mathis
Zenodo, 2024
2024
Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights
A Marin Vargas, A Bisi, A Chiappa, C Versteeg, LE Miller, A Mathis
EPFL Infoscience, 2024
2024
Proprioceptive Coding in the Cuneate Nucleus of Awake Monkeys
C Versteeg
Northwestern University, 2021
2021
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