2026 Kwabena Boahen: Electronics and Electrical Engineering Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Electronics and Electrical Engineering	48	3037	2912	1142	1065	115	11059

Research.com Recognitions

2016 - Fellow of the Indian National Academy of Engineering (INAE)
2006 - National Institutes of Health Director's Pioneer Award

Overview

Kwabena Boahen is affiliated with Stanford University in the United States. Their research centers on neuroscience and engineering, with a significant number of publications in the fields of cognitive neuroscience and electrical and electronic engineering.

The scientist's recent publications include the following papers:

Catalyzing next-generation Artificial Intelligence through NeuroAI (2023, Nature Communications)
Dendrocentric learning for synthetic intelligence (2022, Nature)
Cortical state dynamics and selective attention define the spatial pattern of correlated variability in neocortex (2022, Nature Communications)
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution (2022, arXiv (Cornell University))
Optimal noise level for coding with tightly balanced networks of spiking neurons in the presence of transmission delays (2022, PLoS Computational Biology)

Frequent co-authors collaborating with Kwabena Boahen include:

Nicholas A. Steinmetz
Ben Varkey Benjamin
Surya Ganguli
Anthony M. Zador
G. Sean Escola

Major venues where their work has been published are:

Nature Communications
bioRxiv (Cold Spring Harbor Laboratory)
Nature
PLoS Computational Biology
Neuromorphic Computing and Engineering

Their main fields of study are:

Neuroscience
Engineering

Within these fields, their subfields of study include:

Cognitive Neuroscience
Electrical and Electronic Engineering
Artificial Intelligence
Cellular and Molecular Neuroscience
Hardware and Architecture

Key topics addressed in their work encompass:

Neural dynamics and brain function
Advanced Memory and Neural Computing
Neuroscience and Neural Engineering
Functional Brain Connectivity Studies
Visual perception and processing mechanisms
Semiconductor materials and devices
Reinforcement Learning in Robotics

Kwabena Boahen has been recognized with the following awards:

Fellow of the Indian National Academy of Engineering (INAE), 2016
National Institutes of Health Director's Pioneer Award, 2006

Best Publications

Neuromorphic Silicon Neuron Circuits

Giacomo Indiveri;Bernabé Linares-Barranco;Tara Julia Hamilton;André van Schaik

1718
Citations
Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations

Ben Varkey Benjamin;Peiran Gao;Emmett McQuinn;Swadesh Choudhary

1382
Citations
Point-to-point connectivity between neuromorphic chips using address events

K.A. Boahen

812
Citations
Current-mode subthreshold MOS circuits for analog VLSI neural systems

A.G. Andreou;K.A. Boahen;P.O. Pouliquen;A. Pavasovic

455
Citations
A biomorphic digital image sensor

E. Culurciello;R. Etienne-Cummings;K.A. Boahen

449
Citations
A Contrast Sensitive Silicon Retina with Reciprocal Synapses

Kwabena A. Boahen;Andreas G. Andreou

342
Citations
Catalyzing next-generation Artificial Intelligence through NeuroAI

Unknown

308
Citations
Different circuits for ON and OFF retinal ganglion cells cause different contrast sensitivities.

Kareem A. Zaghloul;Kwabena Boahen;Jonathan B. Demb

275
Citations
Translinear circuits in subthreshold MOS

Andreas G. Andreou;Kwabena A. Boahen

249
Citations
Selective modulation of cortical state during spatial attention

Tatiana A. Engel;Tatiana A. Engel;Nicholas A. Steinmetz;Marc A. Gieselmann;Alexander Thiele

239
Citations
A burst-mode word-serial address-event link-I: transmitter design

K.A. Boahen

223
Citations
Braindrop: A Mixed-Signal Neuromorphic Architecture With a Dynamical Systems-Based Programming Model

Alexander Neckar;Sam Fok;Ben V. Benjamin;Terrence C. Stewart

223
Citations
Communicating neuronal ensembles between neuromorphic chips

Kwabena A. Boahen

211
Citations
Optic nerve signals in a neuromorphic chip I: Outer and inner retina models

K.A. Zaghloul;K. Boahen

181
Citations
Learning in Silicon: Timing is Everything

John V. Arthur;Kwabena Boahen

170
Citations
Neuromorphic implementation of orientation hypercolumns

T.Y.W. Choi;P.A. Merolla;J.V. Arthur;K.A. Boahen

158
Citations
Expandable Networks for Neuromorphic Chips

P.A. Merolla;J.V. Arthur;B.E. Shi;K.A. Boahen

157
Citations
A retinomorphic vision system

K.A. Boahen

155
Citations
Optic nerve signals in a neuromorphic chip II: testing and results

K.A. Zaghloul;K. Boahen

150
Citations
Silicon-Neuron Design: A Dynamical Systems Approach

J V Arthur;K A Boahen

145
Citations
A Silicon Cochlea With Active Coupling

Bo Wen;K. Boahen

112
Citations
Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations This paper describes the design of the first hardware system to provide computational neuroscientists with the capability of performing biological real-time simulations of a million neurons and their synaptic connections.

Ben Varkey Benjamin;Peiran Gao;Emmett McQuinn;Swadesh Choudhary

0
Citations

Frequent Co-Authors

Andreas G. Andreou Johns Hopkins University

Ralph Etienne-Cummings Johns Hopkins University

Eugenio Culurciello Purdue University West Lafayette

Shih-Chii Liu University of Zurich

Bernabé Linares-Barranco University of Seville

Teresa Serrano-Gotarredona University of Seville

Tobi Delbruck ETH Zurich

Gert Cauwenberghs University of California, San Diego

Oussama Khatib Stanford University

Giacomo Indiveri University of Zurich

External Links

Wikipedia of Kwabena Boahen Personal website of Kwabena Boahen Google Scholar page

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