Jonathan Tapson

4.4k citations

118 papers · 2.4k indexed · 1 hit paper · h-index 22

Impact in

Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Artificial Intelligence top 1%
- Privacy-Preserving Technologies in Data
- Neural Networks and Reservoir Computing
- Neural Networks and Applications

Papers in ⓘ

Cognitive Neuroscience 51
- Neural dynamics and brain function 32
- Hearing Loss and Rehabilitation 10
Cellular and Molecular Neuroscience 30
- Neuroscience and Neural Engineering 26

Co-authors: André van Schaik (69 shared papers)Saeed Afshar (10 shared papers)Gregory Cohen (11 shared papers)Tara Julia Hamilton (35 shared papers)Runchun Wang (16 shared papers)Craig Jin (14 shared papers)Chetan Singh Thakur (12 shared papers)Yossi Buskila (6 shared papers)
Journals: Frontiers in Neuroscience (10 papers)The Journal of the Acoustical Society of America (4 papers)IEEE Transactions on Biomedical Circuits and Systems (4 papers)Neural Computation (3 papers)Measurement Science and Technology (3 papers)
Partner nations: Australia South Africa United States

In The Last Decade

Jonathan Tapson

114 papers receiving 2.3k citations

Hit Papers

align trajectories log scale

EMNIST: Extending MNIST to handwritten letters 2017 · 889 citations

Peers

Countries citing papers authored by Jonathan Tapson

Since Specialization

Citations

This map shows the geographic impact of Jonathan Tapson'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 Jonathan Tapson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Tapson more than expected).

Fields of papers citing papers by Jonathan Tapson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Tapson. 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 Jonathan Tapson. The network helps show where Jonathan Tapson may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan Tapson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Tapson Line = papers co-authored together Jonathan Tapson links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	EMNIST: Extending MNIST to handwritten letters Gregory Cohen, Saeed Afshar, Jonathan Tapson, André van Schaik Hit paper breakdown →	2017	889
2	Learning the pseudoinverse solution to network weights Neural Networks ·Jonathan Tapson, André van Schaik	2013	70
3	Extending the viability of acute brain slices Scientific Reports ·Yossi Buskila, Paul P. Breen, Jonathan Tapson, André van Schaik, Matthew Barton, John W. Morley	2014	68
4	An Active 2-D Silicon Cochlea IEEE Transactions on Biomedical Circuits and Systems ·Tara Julia Hamilton, Craig Jin, André van Schaik, Jonathan Tapson	2008	60
5	An FPGA Implementation of a Polychronous Spiking Neural Network with Delay Adaptation Frontiers in Neuroscience ·Runchun Wang, Gregory Cohen, Klaus M. Stiefel, Tara Julia Hamilton, Jonathan Tapson, André van Schaik	2013	56
6	Stochastic Electronics: A Neuro-Inspired Design Paradigm for Integrated Circuits Proceedings of the IEEE ·Tara Julia Hamilton, Saeed Afshar, André van Schaik, Jonathan Tapson	2014	56
7	Fast, Simple and Accurate Handwritten Digit Classification by Training Shallow Neural Network Classifiers with the ‘Extreme Learning Machine’ Algorithm PLoS ONE ·Mark D. McDonnell, Migel D. Tissera, Tony Vladusich, André van Schaik, Jonathan Tapson	2015	56
8	Synthesis of neural networks for spatio-temporal spike pattern recognition and processing Frontiers in Neuroscience ·Jonathan Tapson, Gregory Cohen, Saeed Afshar, Klaus M. Stiefel, Yossi Buskila, Runchun Mark Wang, Tara Julia Hamilton, André van Schaik	2013	53
9	A Review of Control Strategies in Closed-Loop Neuroprosthetic Systems Frontiers in Neuroscience ·James C. Wright, Vaughan G. Macefield, André van Schaik, Jonathan Tapson	2016	51
10	Skimming Digits: Neuromorphic Classification of Spike-Encoded Images Frontiers in Neuroscience ·Gregory Cohen, Garrick Orchard, Sio-Hoi Leng, Jonathan Tapson, Ryad Benosman, André van Schaik	2016	41
11	Neuromorphic Hardware Architecture Using the Neural Engineering Framework for Pattern Recognition IEEE Transactions on Biomedical Circuits and Systems ·Runchun Wang, Chetan Singh Thakur, Gregory Cohen, Tara Julia Hamilton, Jonathan Tapson, André van Schaik	2017	36
12	Calcium Imaging of AM Dyes Following Prolonged Incubation in Acute Neuronal Tissue PLoS ONE ·Morven A. Cameron, Orsolya Kékesi, John W. Morley, Jonathan Tapson, Paul P. Breen, André van Schaik, Yossi Buskila	2016	35
13	Optimization Methods for Spiking Neurons and Networks IEEE Transactions on Neural Networks ·Alexander Russell, Garrick Orchard, Yi Dong, Ştefan Mihalaş, Ernst Niebur, Jonathan Tapson, Ralph Etienne-Cummings	2010	34
14	Online and adaptive pseudoinverse solutions for ELM weights Neurocomputing ·André van Schaik, Jonathan Tapson	2014	30
15	Spatial and Temporal Downsampling in Event-Based Visual Classification IEEE Transactions on Neural Networks and Learning Systems ·Gregory Cohen, Saeed Afshar, Garrick Orchard, Jonathan Tapson, Ryad Benosman, André van Schaik	2018	25
16	A mixed-signal implementation of a polychronous spiking neural network with delay adaptation Frontiers in Neuroscience ·Runchun M. Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik	2014	25
17	A neuromorphic implementation of multiple spike-timing synaptic plasticity rules for large-scale neural networks Frontiers in Neuroscience ·Runchun M. Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik	2015	25
18	An FPGA design framework for large-scale spiking neural networks Runchun Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik	2014	25
19	Bayesian Estimation and Inference Using Stochastic Electronics Frontiers in Neuroscience ·Chetan Singh Thakur, Saeed Afshar, Runchun M. Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik	2016	23
20	Towards true unipolar bio-potential recording: a preliminary result for ECG Physiological Measurement ·Gaetano D. Gargiulo, Alistair McEwan, Paolo Bifulco, Mario Cesarelli, Craig Jin, Jonathan Tapson, Aravinda Thiagalingam, André van Schaik	2012	21

About Jonathan Tapson

Jonathan Tapson is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Sensory Systems, Electrical and Electronic Engineering and Artificial Intelligence, having authored 118 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (45 papers), Neural dynamics and brain function (32 papers), Neuroscience and Neural Engineering (26 papers), Neural Networks and Applications (14 papers), Electrical and Bioimpedance Tomography (11 papers), ECG Monitoring and Analysis (10 papers), Hearing Loss and Rehabilitation (10 papers) and Neural Networks and Reservoir Computing (9 papers). The work is most often cited by research in Cognitive Neuroscience (678 citations), Artificial Intelligence (1.0k citations), Cellular and Molecular Neuroscience (376 citations), Electrical and Electronic Engineering (997 citations) and Computer Vision and Pattern Recognition (335 citations). Jonathan Tapson has collaborated with scholars based in Australia, South Africa and United States. Frequent co-authors include André van Schaik, Saeed Afshar, Gregory Cohen, Tara Julia Hamilton, Runchun Wang, Craig Jin, Chetan Singh Thakur, Yossi Buskila, Alistair McEwan and John W. Morley. Their work appears in journals such as Frontiers in Neuroscience, The Journal of the Acoustical Society of America, IEEE Transactions on Biomedical Circuits and Systems, Neural Computation and Measurement Science and Technology.

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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