Paul Merolla

9.7k citations

24 papers · 6.4k indexed · 4 hit papers · h-index 17

Electrical and Electronic Engineering top 0.5%
Cognitive Neuroscience top 0.5%
Cellular and Molecular Neuroscience top 0.5%
Artificial Intelligence top 0.5%
Computer Vision and Pattern Recognition top 5%

Co-authors: John V. Arthur Dharmendra S. Modha Rodrigo Alvarez-Icaza Filipp Akopyan Rajit Manohar Nabil Imam Andrew S. Cassidy Brian Taba
Topics: Advanced Memory and Neural Computing (22 papers)Neural dynamics and brain function (14 papers)Neuroscience and Neural Engineering (13 papers)
Cited by: Cognitive Neuroscience Cellular and Molecular Neuroscience Electrical and Electronic Engineering
Journals: Science Proceedings of the National Academy of Sciences Proceedings of the IEEE
Partner nations: United States Hong Kong Russia

In The Last Decade

Paul Merolla

24 papers receiving 6.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A million spiking-neuron integrated circuit with a scalable communication network and interface

2014 2.8k citations Paul Merolla, John V. Arthur et al. Science profile →
TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip

2015 1.1k citations Filipp Akopyan, Jun Sawada et al. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems profile →
Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations

2014 847 citations Ben Varkey Benjamin, Peiran Gao et al. Proceedings of the IEEE profile →
Convolutional networks for fast, energy-efficient neuromorphic computing

2016 482 citations Steven K. Esser, Paul Merolla et al. Proceedings of the National Academy of Sciences profile →

Peers

Countries citing papers authored by Paul Merolla

Since Specialization

Citations

This map shows the geographic impact of Paul Merolla's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Paul Merolla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Merolla more than expected).

Fields of papers citing papers by Paul Merolla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Merolla. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Paul Merolla. The network helps show where Paul Merolla may publish in the future.

Co-authorship network of co-authors of Paul Merolla

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Merolla. A scholar is included among the top collaborators of Paul Merolla based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul Merolla. Paul Merolla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A 1024-Channel Simultaneous Recording Neural SoC with Stimulation and Real-Time Spike Detection 2021 ·(unknown),(unknown),SungWon Chung,Paul Merolla,(unknown),Dongjin Seo	48
2	Real-time sensory information processing using the TrueNorth Neurosynaptic System 2016 ·Andreas G. Andreou,(unknown),(unknown),Guillaume Garreau,(unknown),Garrick Orchard,Andrew S. Cassidy,Paul Merolla,John V. Arthur,Rodrigo Alvarez-Icaza,Bryan L. Jackson,Dharmendra S. Modha	10
3	TrueNorth: A High-Performance, Low-Power Neurosynaptic Processor for Multi-Sensory Perception, Action, and Cognition 2016 ·Andrew S. Cassidy,Jun Sawada,Paul Merolla,John V. Arthur,Rodrigo Alvarez-Icaza,Filipp Akopyan,Bryan L. Jackson,Dharmendra S. Modha	12
4	Convolutional networks for fast, energy-efficient neuromorphic computingbreakdown → 2016 ·Proceedings of the National Academy of Sciences ·Steven K. Esser,Paul Merolla,John V. Arthur,Andrew S. Cassidy,Rathinakumar Appuswamy,Alexander Andreopoulos,David Van Den Berg,Jeffrey L. McKinstry,(unknown),Davis Barch,Carmelo di Nolfo,Pallab Datta,Arnon Amir,Brian Taba,Myron Flickner,Dharmendra S. Modha	482
5	TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chipbreakdown → 2015 ·IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·Filipp Akopyan,Jun Sawada,Andrew S. Cassidy,Rodrigo Alvarez-Icaza,John V. Arthur,Paul Merolla,Nabil Imam,Yutaka Nakamura,Pallab Datta,Gi-Joon Nam,Brian Taba,Michael P. Beakes,Bernard Brezzo,Jente B. Kuang,Rajit Manohar,W. P. Risk,Bryan L. Jackson,Dharmendra S. Modha	1064
6	Backpropagation for energy-efficient neuromorphic computing 2015 ·Neural Information Processing Systems ·Steve K. Esser,Rathinakumar Appuswamy,Paul Merolla,John V. Arthur,Dharmendra S. Modha	170
7	Gibbs sampling with low-power spiking digital neurons 2015 ·Srinjoy Das,Bruno U. Pedroni,Paul Merolla,John V. Arthur,Andrew S. Cassidy,Bryan L. Jackson,Dharmendra S. Modha,Gert Cauwenberghs,Ken Kreutz-Delgado	9
8	Visual saliency on networks of neurosynaptic cores 2015 ·IBM Journal of Research and Development ·Alexander Andreopoulos,Brian Taba,Andrew S. Cassidy,Rodrigo Alvarez-Icaza,Myron Flickner,W. P. Risk,Arnon Amir,Paul Merolla,John V. Arthur,David Van Den Berg,Jeff Kusnitz,Pallab Datta,Steven K. Esser,Raja Appuswamy,Davis Barch,Dharmendra S. Modha	12
9	Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulationsbreakdown → 2014 ·Proceedings of the IEEE ·Ben Varkey Benjamin,Peiran Gao,Emmett McQuinn,Swadesh Choudhary,Anand Chandrasekaran,Jean-Marie Bussat,Rodrigo Alvarez-Icaza,John V. Arthur,Paul Merolla,Kwabena Boahen	847
10	A million spiking-neuron integrated circuit with a scalable communication network and interfacebreakdown → 2014 ·Science ·Paul Merolla,John V. Arthur,Rodrigo Alvarez-Icaza,Andrew S. Cassidy,Jun Sawada,Filipp Akopyan,Bryan L. Jackson,Nabil Imam,Guo Chen,Yutaka Nakamura,Bernard Brezzo,Ivan Vo,Steven K. Esser,Rathinakumar Appuswamy,Brian Taba,Arnon Amir,Myron Flickner,W. P. Risk,Rajit Manohar,Dharmendra S. Modha	2780
11	Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores 2013 ·Andrew S. Cassidy,Paul Merolla,John V. Arthur,Steve K. Esser,Bryan L. Jackson,Rodrigo Alvarez-Icaza,Pallab Datta,Jun Sawada,Theodore M. Wong,Vitaly Feldman,Arnon Amir,Daniel Ben Dayan Rubin,Filipp Akopyan,Emmett McQuinn,W. P. Risk,Dharmendra S. Modha	171
12	Implementation of Olfactory Bulb Glomerular-Layer Computations in a Digital Neurosynaptic Core 2012 ·Frontiers in Neuroscience ·Nabil Imam,Thomas A. Cleland,Rajit Manohar,Paul Merolla,John V. Arthur,Filipp Akopyan,Dharmendra S. Modha	27
13	A Digital Neurosynaptic Core Using Event-Driven QDI Circuits 2012 ·Nabil Imam,Filipp Akopyan,John V. Arthur,Paul Merolla,Rajit Manohar,Dharmendra S. Modha	27
14	A digital neurosynaptic core using embedded crossbar memory with 45pJ per spike in 45nm 2011 ·Paul Merolla,John V. Arthur,Filipp Akopyan,Nabil Imam,Rajit Manohar,Dharmendra S. Modha	315
15	Adaptive Strategies for High Frequency Trading 2008 ·(unknown),Paul Merolla,(unknown)	1
16	Expandable Networks for Neuromorphic Chips 2007 ·IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications ·Paul Merolla,John V. Arthur,Bertram E. Shi,Kwabena Boahen	69
17	A silicon model of the primary visual cortex: Representing features through stochastic variations 2006 ·Scholarly Commons (University of Pennsylvania) ·Paul Merolla	1
18	Dynamic computation in a recurrent network of heterogeneous silicon neurons 2006 ·Paul Merolla,Kwabena Boahen	20
19	Programmable Connections in Neuromorphic Grids 2006 ·(unknown),Paul Merolla,John V. Arthur,Kwabena Boahen	25
20	A Recurrent Model of Orientation Maps with Simple and Complex Cells 2003 ·ScholarlyCommons (University of Pennsylvania) ·Paul Merolla,Kwabena Boahen	42

About Paul Merolla

Paul Merolla is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 24 papers that have together received 6.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (22 papers), Neural dynamics and brain function (14 papers) and Neuroscience and Neural Engineering (13 papers). The work is most often cited by research in Cognitive Neuroscience (2.3k citations), Cellular and Molecular Neuroscience (2.2k citations) and Electrical and Electronic Engineering (5.9k citations). Paul Merolla has collaborated with scholars based in United States, Hong Kong and Russia. Frequent co-authors include John V. Arthur, Dharmendra S. Modha, Rodrigo Alvarez-Icaza, Filipp Akopyan, Rajit Manohar, Nabil Imam, Andrew S. Cassidy, Brian Taba, W. P. Risk and Bryan L. Jackson. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Proceedings of the IEEE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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