Brian Pasley

Brian Pasley is a neuroscientist and research scientist affiliated with the University of California, Berkeley (UC Berkeley).14 He has made significant contributions to the field of neuroscience, particularly in the areas of auditory processing and brain-computer interfaces.

Academic Background

Pasley completed his PhD in the Helen Wills Neuroscience program at UC Berkeley, where he worked in Ralph Freeman's lab.5 His research interests have focused on understanding neural mechanisms and their applications in neurotechnology.

Research and Expertise

Auditory Processing:: Pasley's work has significantly advanced our understanding of how the brain processes auditory information. He has been involved in groundbreaking research that explores the neural encoding of auditory features.6

Brain-Computer Interfaces:: One of Pasley's most notable contributions is his work on decoding inner speech using electrocorticography. This research has important implications for developing speech prostheses and other brain-computer interface technologies.6

Neural Eavesdropping:: In 2012, Pasley was part of a team at UC Berkeley that made headlines for their work on "eavesdropping" on the mind. Their research demonstrated how certain parts of the auditory cortex activate in response to sounds, potentially paving the way for reconstructing what a person is thinking based on their brain activity.7

Professional Positions

Throughout his career, Pasley has held several positions at UC Berkeley:

• Research Scientist in Neuroscience
• Postdoctoral fellow at UC Berkeley / UCSF
• Post-doctoral researcher in the Helen Wills Neuroscience Institute4

Recognition

Pasley's work has garnered significant attention in the scientific community. He has been cited over 2,000 times according to his Google Scholar profile, indicating the impact and relevance of his research.3 Additionally, he has been awarded a Humboldt Research Fellowship, further recognizing his contributions to the field.2

Brian Pasley's research continues to push the boundaries of our understanding of the brain and its functions, with potential applications in medical technology and beyond.