Affiliation: Johns Hopkins University
- From spikes to EEG: integrated multichannel and selective acquisition of neuropotentialsMohsen Mollazadeh
Biomedical Engineering Department, Johns Hopkins University, Baltimore, MD, USA
Conf Proc IEEE Eng Med Biol Soc 2008:2741-4. 2008..94 microV(rms) for a bandwidth of 8.2 kHz while drawing 12.2 microA of current from a 3.3 V supply. Experimental recordings with the system show spike signals in rat somatosensory cortex as well as alpha EEG activity in a human subject...
- Spectral modulation of LFP activity in M1 during dexterous finger movementsMohsen Mollazadeh
Department of Biomedical Engineering at the Johns Hopkins University, Baltimore, MD, USA
Conf Proc IEEE Eng Med Biol Soc 2008:5314-7. 2008..This has implications for future neuroprosthetic devices due to the robustness of LFP signals for chronic recording...
- Spatiotemporal variation of multiple neurophysiological signals in the primary motor cortex during dexterous reach-to-grasp movementsMohsen Mollazadeh
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21205, USA
J Neurosci 31:15531-43. 2011....
- Toward electrocorticographic control of a dexterous upper limb prosthesis: building brain-machine interfacesMatthew S Fifer
Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
IEEE Pulse 3:38-42. 2012....
- State-based decoding of hand and finger kinematics using neuronal ensemble and LFP activity during dexterous reach-to-grasp movementsVikram Aggarwal
Dept of Biomedical Engineering, Johns Hopkins Univ, Baltimore, MD, USA
J Neurophysiol 109:3067-81. 2013..67, RMSE = 0.17). Combining LFP-based state decoding with spike-based kinematic decoding may be a valuable step toward the realization of BMI control of a multifingered neuroprosthesis performing dexterous manipulation...
- Asynchronous decoding of grasp aperture from human ECoG during a reach-to-grasp taskMatthew S Fifer
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
Conf Proc IEEE Eng Med Biol Soc 2011:4584-7. 2011..These results suggest that the population activity captured with ECoG contains information about coordinated finger movements that potentially can be exploited to control advanced upper limb neuroprosthetics...