Florida Multiscale Signal Acquisition Develop a experimental paradigm with a nested hierarchy for studying neural population dynamics Least Invasive EEG NRG IRB Approval for ECOG Human Studies NRG IACUC Microelectrodes Approval for Animal Highest Studies Resolution
Florida Multiscale Signal Acquisition EEG ECoG Microelectrodes Least Invasive Highest Resolution NRG IRB Approval for Human Studies NRG IACUC Approval for Animal Studies Develop a experimental paradigm with a nested hierarchy for studying neural population dynamics
Common bMi-Bcl Methods *K BMIs---Invasive, work with intention of movement Spike trains, field potentials, ECoG Very specifiC, potentially better performance *K BCls---Noninvasive subjects must learn how to control their brain activity EEG Very small bandwidth
Common BMI-BCI Methods BMIs --- Invasive, work with intention of movement • Spike trains, field potentials, ECoG • Very specific, potentially better performance BCIs --- Noninvasive, subjects must learn how to control their brain activity • EEG • Very small bandwidth
Computational Neuro Science xx Integration of probabilistic models of information processing with the neurophysiological reality of brain anatomy, physiology and purpose *K Need to abstract the details of the wetware and ask what is the purpose of the function. Then quantify it in mathematical terms x Difficult but very promising. One issue is that biological evolution is a legacy system x BMI research is an example of a computational neuroscience approach
Computational NeuroScience Integration of probabilistic models of information processing with the neurophysiological reality of brain anatomy, physiology and purpose. Need to abstract the details of the “wetware” and ask what is the purpose of the function. Then quantify it in mathematical terms. Difficult but very promising. One issue is that biological evolution is a legacy system! BMI research is an example of a computational neuroscience approach
How to put it together? x* NeoCortical brain Areas related to movement Posterior Parietal(PP) b Cortical Control of movement Visual to motor transformation Movement of Muscles Supplementary Primary motor Premotor(PM) and Dorsal Premotor Parietal lobe cortex Premotor(PMD) Planning and guidance (visual inputs) Auditory perceptions Prefrontal Temporal lobe Occipital lob Primary Motor(M1) Initiates muscle contraction
How to put it together? NeoCortical Brain Areas Related to Movement Posterior Parietal (PP) – Visual to motor transformation Premotor (PM) and Dorsal Premotor (PMD) - Planning and guidance (visual inputs) Primary Motor (M1) – Initiates muscle contraction
Ensemble Correlations -Local in Time- are Averaged with Global Models Local Neuronal Correlation PM 0.8 0.4 0.2 SMA M1-ips 50 100 150 250 WaRN 150 250 300 150 250 Time(100ms)
Ensemble Correlations – Local in Time – are Averaged with Global Models