MotorNet, a Python toolbox for controlling differentiable biomechanical effectors with artificial neural networks

O Codol, JA Michaels, M Kashefi, JA Pruszynski… - Elife, 2024 - elifesciences.org
Artificial neural networks (ANNs) are a powerful class of computational models for
unravelling neural mechanisms of brain function. However, for neural control of movement …

De novo motor learning creates structure in neural activity that shapes adaptation

JC Chang, MG Perich, LE Miller, JA Gallego… - Nature …, 2024 - nature.com
Animals can quickly adapt learned movements to external perturbations, and their existing
motor repertoire likely influences their ease of adaptation. Long-term learning causes lasting …

Irrational choices via a curvilinear representational geometry for value

K Jurewicz, BJ Sleezer, PS Mehta, BY Hayden… - Nature …, 2024 - nature.com
We make decisions by comparing values, but it is not yet clear how value is represented in
the brain. Many models assume, if only implicitly, that the representational geometry of value …

Model predictive control of the neural manifold

C Fehrman, CD Meliza - arXiv preprint arXiv:2406.14801, 2024 - arxiv.org
Neural manifolds are an attractive theoretical framework for characterizing the complex
behaviors of neural populations. However, many of the tools for identifying these low …

Reliability of variability and complexity measures for task and task‐free BOLD fMRI

MH Wehrheim, J Faskowitz, AL Schubert, CJ Fiebach - 2024 - Wiley Online Library
Brain activity continuously fluctuates over time, even if the brain is in controlled (eg,
experimentally induced) states. Recent years have seen an increasing interest in …

[HTML][HTML] Unsupervised, piecewise linear decoding enables an accurate prediction of muscle activity in a multi-task brain computer interface

X Ma, F Rizzoglio, KL Bodkin, LE Miller - bioRxiv, 2024 - pmc.ncbi.nlm.nih.gov
Objective. Creating an intracortical brain-computer interface (iBCI) capable of seamless
transitions between tasks and contexts would greatly enhance user experience. However …

Measuring Stimulus Information Transfer Between Neural Populations through the Communication Subspace

O Weiss, R Coen-Cagli - bioRxiv, 2024 - biorxiv.org
Sensory processing arises from the communication between neural populations across
multiple brain areas. While the widespread presence of neural response variability shared …

BCIs for Everyone, Everyday: Generalized Machine Learning Models for Decoding of Human Brain Data

Z Steine-Hanson - 2024 - search.proquest.com
Abstract Brain Computer Interfaces (BCIs) offer immense potential to enhance the quality of
life for individuals worldwide, spanning applications in prosthetics, neurofeedback, and …

[HTML][HTML] Separating cognitive and motor processes in the behaving mouse

MA Hasnain, JE Birnbaum, JLU Nunez, EK Hartman… - …, 2024 - pmc.ncbi.nlm.nih.gov
The cognitive processes supporting complex animal behavior are closely associated with
ubiquitous movements responsible for our posture, facial expressions, ability to actively …

[PDF][PDF] Neural population mechanisms of reward-mediated performance

A Smoulder - 2024 - kilthub.cmu.edu
In professional sports, situations occasionally arise where the outcome of a game or even an
entire season comes down to a single action by a single player. During a 2015 National …