George L. Chadderdon

719 total citations
22 papers, 426 citations indexed

About

George L. Chadderdon is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, George L. Chadderdon has authored 22 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 9 papers in Cellular and Molecular Neuroscience and 8 papers in Electrical and Electronic Engineering. Recurrent topics in George L. Chadderdon's work include Neural dynamics and brain function (11 papers), Advanced Memory and Neural Computing (8 papers) and Neuroscience and Neural Engineering (8 papers). George L. Chadderdon is often cited by papers focused on Neural dynamics and brain function (11 papers), Advanced Memory and Neural Computing (8 papers) and Neuroscience and Neural Engineering (8 papers). George L. Chadderdon collaborates with scholars based in United States, Australia and Germany. George L. Chadderdon's co-authors include William W. Lytton, Samuel A. Neymotin, Cliff C. Kerr, Olaf Sporns, Joseph T. Francis, Salvador Durá-Bernal, T. Brotherton, Gordon M. Shepherd, Benjamin A. Suter and Travis S. Johnson and has published in prestigious journals such as PLoS ONE, Journal of Cognitive Neuroscience and eLife.

In The Last Decade

George L. Chadderdon

22 papers receiving 410 citations

Peers

Countries citing papers authored by George L. Chadderdon

Since Specialization

Citations

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

Fields of papers citing papers by George L. Chadderdon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George L. Chadderdon. 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 George L. Chadderdon. The network helps show where George L. Chadderdon may publish in the future.

Co-authorship network of co-authors of George L. Chadderdon

This figure shows the co-authorship network connecting the top 25 collaborators of George L. Chadderdon. A scholar is included among the top collaborators of George L. Chadderdon 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 George L. Chadderdon. George L. Chadderdon 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	Training a spiking neuronal network model of visual-motor cortex to play a virtual racket-ball game using reinforcement learning 2022 ·PLoS ONE ·Haroon Anwar, (unknown), Salvador Durá-Bernal, (unknown), (unknown), (unknown), (unknown), George L. Chadderdon, Cliff C. Kerr, Péter Lakatos, William W. Lytton, Hananel Hazan, Samuel A. Neymotin	6
2	NetPyNE, a tool for data-driven multiscale modeling of brain circuits 2019 ·eLife ·Salvador Durá-Bernal, Benjamin A. Suter, Padraig Gleeson, Matteo Cantarelli, Adrián Quintana, (unknown), David Jacob Kedziora, George L. Chadderdon, Cliff C. Kerr, Samuel A. Neymotin, Robert A. McDougal, Michael L. Hines, Gordon M. Shepherd, William W. Lytton	88
3	Optimization by Adaptive Stochastic Descent 2018 ·PLoS ONE ·Cliff C. Kerr, Salvador Durá-Bernal, Tomasz G. Smolinski, George L. Chadderdon, David P. Wilson	15
4	Development and Clinical Evaluation of an mHealth Application for Stress Management 2016 ·Frontiers in Psychiatry ·Brent Winslow, George L. Chadderdon, (unknown), David L. Jones, Solomon Kalkstein, Jennifer L. Greene, Philip Gehrman	24
5	Identification of resilient individuals and those at risk for performance deficits under stress 2015 ·Frontiers in Neuroscience ·Brent Winslow, Meredith Carroll, Jonathan W. Martin, (unknown), George L. Chadderdon	17
6	Motor Cortex Microcircuit Simulation Based on Brain Activity Mapping 2014 ·Neural Computation ·George L. Chadderdon, (unknown), Benjamin A. Suter, Samuel A. Neymotin, Cliff C. Kerr, Joseph T. Francis, Gordon M. Shepherd, William W. Lytton	14
7	Correction: Reinforcement Learning of Targeted Movement in a Spiking Neuronal Model of Motor Cortex 2013 ·PLoS ONE ·George L. Chadderdon, Samuel A. Neymotin, Cliff C. Kerr, William W. Lytton	1
8	Cortical information flow in Parkinson's disease: a composite network/field model 2013 ·Frontiers in Computational Neuroscience ·Cliff C. Kerr, Sacha J. van Albada, Samuel A. Neymotin, George L. Chadderdon, P. A. Robinson, William W. Lytton	34
9	Towards a real-time interface between a biomimetic model of sensorimotor cortex and a robotic arm 2013 ·Pattern Recognition Letters ·Salvador Durá-Bernal, George L. Chadderdon, Samuel A. Neymotin, Joseph T. Francis, William W. Lytton	16
10	Multiscale modeling of cortical information flow in Parkinson's disease 2013 ·BMC Neuroscience ·Cliff C. Kerr, Sacha J. van Albada, Samuel A. Neymotin, George L. Chadderdon, P. A. Robinson, William W. Lytton	2
11	Reinforcement Learning of Two-Joint Virtual Arm Reaching in a Computer Model of Sensorimotor Cortex 2013 ·Neural Computation ·Samuel A. Neymotin, George L. Chadderdon, Cliff C. Kerr, Joseph T. Francis, William W. Lytton	35
12	Reinforcement Learning of Targeted Movement in a Spiking Neuronal Model of Motor Cortex 2012 ·PLoS ONE ·George L. Chadderdon, Samuel A. Neymotin, Cliff C. Kerr, William W. Lytton	30
13	Electrostimulation as a Prosthesis for Repair of Information Flow in a Computer Model of Neocortex 2011 ·IEEE Transactions on Neural Systems and Rehabilitation Engineering ·Cliff C. Kerr, Samuel A. Neymotin, George L. Chadderdon, Chris Fietkiewicz, Joseph T. Francis, William W. Lytton	25
14	A Neurocomputational Model of the Functional Role of Dopamine in Stimulus-Response Task Learning and Performance 2009 ·IUScholarWorks (Indiana University) ·George L. Chadderdon	3
15	A Large-scale Neurocomputational Model of Task-oriented Behavior Selection and Working Memory in Prefrontal Cortex 2006 ·Journal of Cognitive Neuroscience ·George L. Chadderdon, Olaf Sporns	33
16	A Large-scale Neurocomputational Model of Task-oriented Behavior Selection and Working Memory in Prefrontal Cortex 2006 ·Journal of Cognitive Neuroscience ·George L. Chadderdon, Olaf Sporns	27
17	Classification and novelty detection using linear models and a class dependent-elliptical basis function neural network 2002 ·T. Brotherton, Travis S. Johnson, George L. Chadderdon	21
18	Automated rule extraction for engine vibration analysis 1999 ·T. Brotherton, George L. Chadderdon, (unknown)	13
19	Fuzzy control in the deployable autonomous distributed system 1999 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Peter Shea, (unknown), George L. Chadderdon	7
20	Cognition and the statistics of natural signals 1996 ·eScholarship (California Digital Library) ·Javier R. Movellan, George L. Chadderdon	2

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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