Publication Date: 08/12/2015 01:01
Latest Update: 08/23/2015 10:09

 

Topic: The Era of Mind:

Multimodal Approaches to Interface with the Brain

 

 

Dr. Maysam Chamanzar

 

Assistant Professor

Electrical Engineering and Center for Neural Basis of Cognition (CNBC) at Carnegie Mellon University (CMU)

 

16th Agust 2015

13:00 – 15:00 pm

 School of Electrical and Computer Engineering

University College of Engineering, University of Tehran, North Kargar st.

 

 

                                                                                 

Abstract

 

Understanding the neural basis of brain function- still an elusive goal of systems neuroscience- would help mitigating central nervous system disorders and could revolutionize prosthetic brain-machine interfaces (BMIs). To achieve this goal we need to record and stimulate a large population of neurons across the brain with high spatiotemporal resolution in a minimally invasive way.

In this talk, I will review multimodal approaches including electrical, optical, and acoustic techniques to interrogate neural activity of the brain. I will discuss how engineering disciplines can interface with neurobiology and systems neuroscience to open new horizons in neuroscience and related applications.

 

About the speaker

 

Maysam Chamanzar is starting as an assistant professor of Electrical Engineering and Center for Neural Basis of Cognition (CNBC) at Carnegie Mellon University (CMU). He has a joint appointment with the EECS department at UC Berkeley. He received his Ph.D. in Electrical and Computer Engineering from Georgia Tech in 2012. His dissertation received the Sigma Xi best Ph.D. thesis award in 2013.

Maysam has published more than 25 peer-reviewed journal and conference papers and holds three patents. He is the recipient of a number of awards including the SPIE research excellence award and GTRIC innovation award, and the finalist for the OSA Emil Wolf best paper award and Edison innovation award.

His current research is on developing novel multimodal neural interfaces for large-scale high-resolution electrophysiology and distributed optogenetic stimulation for applications in learning, visual processing, and mitigation of CNS disorders such as Epilepsy.