Behavioral validation of novel high resolution attention decoding method from multi-units & local field potentials
نویسندگان
چکیده
منابع مشابه
Local field potentials allow accurate decoding of muscle activity.
Local field potentials (LFPs) in primary motor cortex include significant information about reach target location and upper limb movement kinematics. Some evidence suggests that they may be a more robust, longer-lasting signal than action potentials (spikes). Here we assess whether LFPs can also be used to decode upper limb muscle activity, a complex movement-related signal. We record electromy...
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Stimulus repetition produces a decrease of the response and affects neuronal synchronization of macaque inferior temporal (IT) neurons. Previously we showed that such stimulus-specific adaptation results in a decreased accuracy by which IT neurons encode repeated compared to non-repeated objects. Not only spiking activity, but also local field potentials (LFPs) are affected by repetition. Here ...
متن کاملOptimizing the decoding of movement goals from local field potentials in macaque cortex.
The successful development of motor neuroprosthetic devices hinges on the ability to accurately and reliably decode signals from the brain. Motor neuroprostheses are widely investigated in behaving non-human primates, but technical constraints have limited progress in optimizing performance. In particular, the organization of movement-related neuronal activity across cortical layers remains poo...
متن کاملContinuous Force Decoding from Local Field Potentials of the Primary Motor Cortex in Freely Moving Rats
Local field potential (LFP) signals recorded by intracortical microelectrodes implanted in primary motor cortex can be used as a high informative input for decoding of motor functions. Recent studies show that different kinematic parameters such as position and velocity can be inferred from multiple LFP signals as precisely as spiking activities, however, continuous decoding of the force magnit...
متن کاملMovement decoding using neural synchronization and inter-hemispheric connectivity from deep brain local field potentials.
OBJECTIVE Correlating electrical activity within the human brain to movement is essential for developing and refining interventions (e.g. deep brain stimulation (DBS)) to treat central nervous system disorders. It also serves as a basis for next generation brain-machine interfaces (BMIs). This study highlights a new decoding strategy for capturing movement and its corresponding laterality from ...
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ژورنال
عنوان ژورنال: NeuroImage
سال: 2021
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2021.117853