Daniel Pouzzner

About Daniel Pouzzner

Daniel Pouzzner, With an exceptional h-index of 4 and a recent h-index of 3 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Neuroscience (Cognitive/Systems/Behavioral), Neuroengineering, Informatics for Neuroscience.

His recent articles reflect a diverse array of research interests and contributions to the field:

The Argo: A high channel count recording system for neural recording in vivo

The Argo: A 65,536 channel recording system for high density neural recording in vivo

Control of Functional Connectivity in Cerebral Cortex by Basal Ganglia Mediated Synchronization v2

Daniel Pouzzner Information

University

Position

McGovern Institute for Brain Research

Citations(all)

501

Citations(since 2020)

201

Cited By

384

hIndex(all)

4

hIndex(since 2020)

3

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Daniel Pouzzner Skills & Research Interests

Neuroscience (Cognitive/Systems/Behavioral)

Neuroengineering

Informatics for Neuroscience

Top articles of Daniel Pouzzner

The Argo: A high channel count recording system for neural recording in vivo

Journal of neural engineering

2021/2/5

The Argo: A 65,536 channel recording system for high density neural recording in vivo

bioRxiv

2020/7/17

Control of Functional Connectivity in Cerebral Cortex by Basal Ganglia Mediated Synchronization v2

2020/4/10

Daniel Pouzzner
Daniel Pouzzner

H-Index: 3

See List of Professors in Daniel Pouzzner University(Massachusetts Institute of Technology)