M Azabou, V Arora, V Ganesh, X Mao… - Advances in …, 2024 - proceedings.neurips.cc
Our ability to use deep learning approaches to decipher neural activity would likely benefit from greater scale, in terms of both the model size and the datasets. However, the …
The neural population spiking activity recorded by intracortical brain-computer interfaces (iBCIs) contain rich structure. Current models of such spiking activity are largely prepared for …
P Vahidi, OG Sani… - Proceedings of the …, 2024 - National Acad Sciences
Neural dynamics can reflect intrinsic dynamics or dynamic inputs, such as sensory inputs or inputs from other brain regions. To avoid misinterpreting temporally structured inputs as …
M Khosla, AH Williams - … of UniReps: the First Workshop on …, 2024 - proceedings.mlr.press
Common measures of neural representational (dis) similarity are designed to be insensitive to rotations and reflections of the neural activation space. Motivated by the premise that the …
There is rich variety in the activity of single neurons recorded during behaviour. Yet, these diverse single neuron responses can be well described by relatively few patterns of neural …
Objective. Intracortical brain–computer interfaces (iBCIs) aim to enable individuals with paralysis to control the movement of virtual limbs and robotic arms. Because patients' …
Complex, learned motor behaviors involve the coordination of large-scale neural activity across multiple brain regions, but our understanding of the population-level dynamics within …
K Love, D Cao, JC Chang… - Journal of …, 2024 - journals.physiology.org
34 The Society of Neural Control of Movement (NCM) held its 32nd annual meeting in 35 beautiful Victoria, British Columbia, Canada in April of 2023. Over 350 researchers, 36 …
Recorded activity of cortical neurons during behavior is often analyzed with dimensionality reduction methods. The resulting oscillatory trajectories have been interpreted as signatures …