User: Guest |  Site Map |  My BSAC Profile
Alumni Roster
Peter Ledochowitsch, Ph.D. 2013

Advisor: Prof. Maharbiz
Research Interests: Neuroprosthetics, Neurophysics, BioMEMS, Micro/Nanofabrication
Job Interests: Academic, Start-up, industry R&D, preferably West Coast

- Social Service as a paramedic for the German Red Cross (2002 - 2003)
- Diploma Student in Physics at the University of Goettingen (2003 - 08/2008)
- Education Abroad Program at UC Santa Barbara (09/2006 - 06/2007)
- Visiting Researcher in Prof. Alan Heeger"s Lab (01/2007 - 04/2008) at CPOS, UCSB
- Academic appointment as "Junior Specialist" at CPOS, UCSB (07/2007 - 04/2008)
- Visiting Researcher in Prof. Heeger's Lab (08/2008 - 04/2008)
- PhD candidate in the Maharbiz lab; member of the joint graduate group in bioengineering (JGGB) at UC Berkeley and UCSF (08/2008 - Present)

Design, Fabrication and Testing of a High Density, Large Area µECoG Array [BPN584]
Electrocorticography (ECoG) strives to bridge the gap between traditional electroencephalography (EEG) and microneedle array
recordings. While requiring a craniectomy, ECoG does not damage cortical tissue and is thus less invasive than microneedles. ECoG
can achieve significantly higher spatiotemporal resolution than EEG because ECoG-electrodes are placed much closer to the signal
sources in the brain. Commercially available ECoG arrays feature a small number of channels (<64) and a large electrode pitch (> 4
mm). Such coarse arrays likely undersample the signals available on the cortex surface. There is currently no agreement on the
optimal inter-electrode pitch in the community and surprisingly little research has been published on the topic of optimal inter-
electrode spacing for ECoG. I am designing, fabricating, packaging and testing a flexible, large-scale (>256 electrodes) high-
density (pitch < 0.5 mm) ECoG array. Scaling-down an ECoG array and increasing the number of recording sites poses many
engineering challenges in terms of SNR, interconnects complexity and device lifetime. Addressing these challenges lies at the heart
of my project. Data collected from the array in vivo will allow conclusions about optimal electrode spacing and size. All devices will
be optimized for decreased impedance resulting in better SNR.


     Last Updated: Tue 2014-Jan-14 12:40:05

back to Researchers


  • Copyright Notification: All papers downloaded from this site are © University of California or the publisher, all rights reserved. Contact the BSAC Webmaster for permission related to copyrighted materials.
  • Links on these pages to commercial sites do not represent endorsements by UC or its affiliates.
  • Privacy Policy
  • Contact Us
  User logged in as: Guest
  User Idle since: June 23, 2018, 8:07 pm