Mohsen Mollazadeh

Summary

Affiliation: Johns Hopkins University
Country: USA

Publications

  1. doi From spikes to EEG: integrated multichannel and selective acquisition of neuropotentials
    Mohsen Mollazadeh
    Biomedical Engineering Department, Johns Hopkins University, Baltimore, MD, USA
    Conf Proc IEEE Eng Med Biol Soc 2008:2741-4. 2008
  2. doi Spectral modulation of LFP activity in M1 during dexterous finger movements
    Mohsen Mollazadeh
    Department of Biomedical Engineering at the Johns Hopkins University, Baltimore, MD, USA
    Conf Proc IEEE Eng Med Biol Soc 2008:5314-7. 2008
  3. pmc Spatiotemporal variation of multiple neurophysiological signals in the primary motor cortex during dexterous reach-to-grasp movements
    Mohsen Mollazadeh
    Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21205, USA
    J Neurosci 31:15531-43. 2011
  4. pmc State-based decoding of hand and finger kinematics using neuronal ensemble and LFP activity during dexterous reach-to-grasp movements
    Vikram Aggarwal
    Dept of Biomedical Engineering, Johns Hopkins Univ, Baltimore, MD, USA
    J Neurophysiol 109:3067-81. 2013
  5. doi Toward electrocorticographic control of a dexterous upper limb prosthesis: building brain-machine interfaces
    Matthew S Fifer
    Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
    IEEE Pulse 3:38-42. 2012
  6. pmc Asynchronous decoding of grasp aperture from human ECoG during a reach-to-grasp task
    Matthew S Fifer
    Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:4584-7. 2011

Detail Information

Publications6

  1. doi From spikes to EEG: integrated multichannel and selective acquisition of neuropotentials
    Mohsen 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...
  2. doi Spectral modulation of LFP activity in M1 during dexterous finger movements
    Mohsen 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...
  3. pmc Spatiotemporal variation of multiple neurophysiological signals in the primary motor cortex during dexterous reach-to-grasp movements
    Mohsen Mollazadeh
    Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21205, USA
    J Neurosci 31:15531-43. 2011
    ....
  4. pmc State-based decoding of hand and finger kinematics using neuronal ensemble and LFP activity during dexterous reach-to-grasp movements
    Vikram 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...
  5. doi Toward electrocorticographic control of a dexterous upper limb prosthesis: building brain-machine interfaces
    Matthew S Fifer
    Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
    IEEE Pulse 3:38-42. 2012
    ....
  6. pmc Asynchronous decoding of grasp aperture from human ECoG during a reach-to-grasp task
    Matthew 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...