This title appears in the Scientific Report :
2014
Dynamic correlation of neuronal activity in sensory motor behavior
Dynamic correlation of neuronal activity in sensory motor behavior
Background:Vision-for-action is defined as a distinct functional stream of brain processes which allow us to use complex perceptual processing for goal-directed actions (Goodale, 2011, Vision Res 51: 1567-5187). It requires a continuous coordination of sensory and motor systems, but it is still uncl...
Saved in:
Personal Name(s): | De Haan, Marcel (Corresponding Author) |
---|---|
Contributing Institute: |
Computational and Systems Neuroscience; IAS-6 Computational and Systems Neuroscience; INM-6 |
Published in: | 2014 |
Imprint: |
2014
|
Conference: | SMHB General Assembly, Juelich (Germany), 2015-01-21 - 2015-01-22 |
Document Type: |
Talk (non-conference) |
Research Program: |
Brain-inspired multiscale computation in neuromorphic hybrid systems Supercomputing and Modelling for the Human Brain Connectivity and Activity Connectivity and Activity Signalling Pathways and Mechanisms in the Nervous System |
Publikationsportal JuSER |
Background:Vision-for-action is defined as a distinct functional stream of brain processes which allow us to use complex perceptual processing for goal-directed actions (Goodale, 2011, Vision Res 51: 1567-5187). It requires a continuous coordination of sensory and motor systems, but it is still unclear how the widely distributed neuronal networks are organized to allow the visual and motor cortical areas to precisely coordinate the moment-to-moment information about the visual environment relative to the acting observer.Research element:This task aims at deciphering the neuronal correlates underlying the continuous coordination of the primary (visual) input and primary (motor) output areas during visual tracking behavior. In the past, there was the tendency in experimental, electrophysiological neuroscience to consider both systems to work independently from each other, transferring only the necessary information from the input to the output area. Here, we will focus on the mutual interaction between these brain areas during a visually guided motor behavior, which requires a continuous update of both systems. In particular, we are interested in answering the questions, if the expectation of a visual stimulus provided by one's (own) hand movement modifies visual cortical activity, and vice versa, how visual information about the upcoming movement trajectory influences motor cortical activity. To approach these questions we will perform electrophysiological experiments (conducted at INT, CNRS, Marseille) using two 100-electrode arrays ("Utah" arrays) that will be chronically implanted in parallel in the primary visual and motor cortical areas of Rhesus monkeys (Macaca mulatta) to simultaneously record massively parallel single neuron spiking activities and population activities (local field potentials, LFP) during the performance of complex visually guided tracking tasks. |