Tim Blakely

Google (United States) — United States

Neuroscience · Life Sciences

14h-index2.8kcitations23works143.52yr avg
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Research Topics

EEG and Brain-Computer Interfaces(8), Neural dynamics and brain function(6), Neurobiology and Insect Physiology Research(5), Insect and Arachnid Ecology and Behavior(5), Advanced Electron Microscopy Techniques and Applications(5)

Publications23 total

A connectomic resource for neural cataloguing and circuit dissection of the larval zebrafish brain
2025· 8 cited
A petavoxel fragment of human cerebral cortex reconstructed at nanoscale resolution
Science·2024· 279 citedOpen Access
Mapping Alzheimer’s Molecular Pathologies in Large-Scale Connectomics Data: A Publicly Accessible Correlative Microscopy Resource
2023· 3 citedOpen Access
A connectomic study of a petascale fragment of human cerebral cortex
2021· 279 citedOpen Access
Denoising-based Image Compression for Connectomics
2021· 11 citedOpen Access
Automated Reconstruction of a Serial-Section EM <i>Drosophila</i> Brain With Flood-Filling Networks and Local Realignment
SSRN Electronic Journal·2021Open Access
A connectome and analysis of the adult Drosophila central brain
eLife·2020· 1.2k citedOpen Access
Author response: A connectome and analysis of the adult Drosophila central brain
2020· 14 citedOpen Access
A Connectome and Analysis of the Adult <i>Drosophila</i> Central Brain
2020· 35 citedOpen Access
A Connectome of the Adult <i>Drosophila</i> Central Brain
2020· 146 citedOpen Access
Automated Reconstruction of a Serial-Section EM Drosophila Brain with Flood-Filling Networks and Local Realignment
Microscopy and Microanalysis·2019· 65 citedOpen Access
Automated Reconstruction of a Serial-Section EM <i>Drosophila</i> Brain with Flood-Filling Networks and Local Realignment
2019· 70 citedOpen Access
High-precision automated reconstruction of neurons with flood-filling networks
Nature Methods·2018· 388 cited
High-Precision Automated Reconstruction of Neurons with Flood-filling Networks
2017· 36 citedOpen Access
Neural correlates of learning in an electrocorticographic motor-imagery brain-computer interface
Brain-Computer Interfaces·2014· 17 citedOpen Access
135 Electrophysiological Evidence of the Efference Copy in Human Voluntary Movements
Neurosurgery·2013· 1 cited
Exploring the Cortical Dynamics of Learning by Leveraging BCI Paradigms
Springer briefs in electrical and computer engineering·2013· 5 cited
Sleep spindles are locally modulated by training on a brain–computer interface
Proceedings of the National Academy of Sciences·2012· 72 citedOpen Access
Electrocorticographic (ECoG) correlates of human arm movements
Experimental Brain Research·2012· 52 cited
Multimodality localization of the sensorimotor cortex in pediatric patients undergoing epilepsy surgery
Journal of Neurosurgery Pediatrics·2012· 74 citedOpen Access
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Frequent Co-authors

Michał Januszewski(13), Peter H. Li(11), Viren Jain(10), Larry Lindsey(9), Jeremy Maitin-Shepard(9), Laramie Leavitt(8), Jeffrey G. Ojemann(8), Feng Li(6), Kai J. Miller(6), Stuart Berg(5), Michael Cook(5), Samantha Finley-May(5), Gary Patrick Hopkins(5), Julie Kovalyak(5), Alanna Lohff(5), Christopher Ordish(5), Ashley L Scott(5), Satoko Takemura(5), John J Walsh(5), Mike Tyka(5)