The science and engineering behind sensitized brain-controlled bionic hands
Advances in our understanding of brain function, along with the development of neural
interfaces that allow for the monitoring and activation of neurons, have paved the way for …
interfaces that allow for the monitoring and activation of neurons, have paved the way for …
The encoding of touch by somatotopically aligned dorsal column subdivisions
The somatosensory system decodes a range of tactile stimuli to generate a coherent sense
of touch. Discriminative touch of the body depends on signals conveyed from peripheral …
of touch. Discriminative touch of the body depends on signals conveyed from peripheral …
Modulation of tactile feedback for the execution of dexterous movement
JM Conner, A Bohannon, M Igarashi, J Taniguchi… - Science, 2021 - science.org
Although dexterity relies on the constant transmission of sensory information, unchecked
feedback can be disruptive. Yet how somatosensory feedback from the hands is regulated …
feedback can be disruptive. Yet how somatosensory feedback from the hands is regulated …
Proprioceptive representations of the hand in somatosensory cortex
Hand proprioception is critical for executing dexterous movements but has received little
experimental attention compared to proximal limb proprioception. Here, we review what is …
experimental attention compared to proximal limb proprioception. Here, we review what is …
Peripersonal encoding of forelimb proprioception in the mouse somatosensory cortex
I Alonso, I Scheer, M Palacio-Manzano… - Nature …, 2023 - nature.com
Conscious perception of limb movements depends on proprioceptive neural responses in
the somatosensory cortex. In contrast to tactile sensations, proprioceptive cortical coding is …
the somatosensory cortex. In contrast to tactile sensations, proprioceptive cortical coding is …
Flexible intentions: An active inference theory
We present a normative computational theory of how the brain may support visually-guided
goal-directed actions in dynamically changing environments. It extends the Active Inference …
goal-directed actions in dynamically changing environments. It extends the Active Inference …
Task-driven hierarchical deep neural network models of the proprioceptive pathway
Biological motor control is versatile and efficient. Muscles are flexible and undergo
continuous changes requiring distributed adaptive control mechanisms. How proprioception …
continuous changes requiring distributed adaptive control mechanisms. How proprioception …
Precise and stable edge orientation signaling by human first-order tactile neurons
Abstract Fast-adapting type 1 (FA-1) and slow-adapting type 1 (SA-1) first-order neurons in
the human tactile system have distal axons that branch in the skin and form many …
the human tactile system have distal axons that branch in the skin and form many …
Development of an assessment method for freely moving nonhuman primates' eating behavior using manual and deep learning analysis
Purpose Although eating is imperative for survival, few comprehensive methods have been
developed to assess freely moving nonhuman primates' eating behavior. In the current …
developed to assess freely moving nonhuman primates' eating behavior. In the current …
Modeling proprioception with task-driven neural network models
H Scherberger - Neuron, 2024 - Elsevier
In a recent issue of Cell, Vargas and colleagues 1 demonstrate that task-driven neural
network models are superior at predicting proprioceptive activity in the primate cuneate …
network models are superior at predicting proprioceptive activity in the primate cuneate …