Amir Alimohammad

San Diego State University

H-index: 18

North America-United States

About Amir Alimohammad

Amir Alimohammad, With an exceptional h-index of 18 and a recent h-index of 10 (since 2020), a distinguished researcher at San Diego State University, specializes in the field of Digital VLSI, Reconfigurable Technology, Computer Architecture.

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

Efficient In Vivo Neural Signal Compression Using an Autoencoder-based Neural Network

Partially binarized neural networks for efficient spike sorting

Power-efficient in vivo brain-machine interfaces via brain-state estimation

A generalized hardware architecture for real-time spiking neural networks

In vivo neural spike detection with adaptive noise estimation

Towards in vivo neural decoding

An artificial neural network processor with a custom instruction set architecture for embedded applications

Neural spike sorting using binarized neural networks

Amir Alimohammad Information

University	San Diego State University
Position	Associate Professor of Electrical and Computer Engineering
Citations(all)	932
Citations(since 2020)	298
Cited By	721
hIndex(all)	18
hIndex(since 2020)	10
i10Index(all)	35
i10Index(since 2020)	10
Email	Access Email
University Profile Page	San Diego State University
Google Scholar	View Google Scholar Profile

Amir Alimohammad Skills & Research Interests

Digital VLSI

Reconfigurable Technology

Computer Architecture

Top articles of Amir Alimohammad

Title	Journal	Author(s)	Publication Date
Efficient In Vivo Neural Signal Compression Using an Autoencoder-based Neural Network	IEEE Transactions on Biomedical Circuits and Systems	Daniel Valencia Patrick P Mercier Amir Alimohammad	2024/1/29
Partially binarized neural networks for efficient spike sorting	Biomedical Engineering Letters	Daniel Valencia Amir Alimohammad	2023/2
Power-efficient in vivo brain-machine interfaces via brain-state estimation	Journal of neural engineering	Daniel Valencia Gianluca Leone Nicholas Keller Patrick P Mercier Amir Alimohammad	2023/1/27
A generalized hardware architecture for real-time spiking neural networks	Neural Computing and Applications	Daniel Valencia Amir Alimohammad	2023/8
In vivo neural spike detection with adaptive noise estimation	Journal of neural engineering	Daniel Valencia Patrick P Mercier Amir Alimohammad	2022/7/22
Towards in vivo neural decoding	Biomedical Engineering Letters	Daniel Valencia Amir Alimohammad	2022/5
An artificial neural network processor with a custom instruction set architecture for embedded applications	IEEE Transactions on circuits and systems I: regular papers	Daniel Valencia Saeed Fouladi Fard Amir Alimohammad	2020/6/25
Neural spike sorting using binarized neural networks	IEEE Transactions on Neural Systems and Rehabilitation Engineering	Daniel Valencia Amir Alimohammad	2020/12/9