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Daniel Janini
Daniel Janini
PhD Candidate, Harvard University
Verified email at g.harvard.edu
Title
Cited by
Cited by
Year
Assessment of inter-hemispheric imbalance using imaging and noninvasive brain stimulation in patients with chronic stroke
DA Cunningham, A Machado, D Janini, N Varnerin, C Bonnett, G Yue, ...
Archives of physical medicine and rehabilitation 96 (4), S94-S103, 2015
902015
Stimulation targeting higher motor areas in stroke rehabilitation: A proof-of-concept, randomized, double-blinded placebo-controlled study of effectiveness and underlying …
DA Cunningham, N Varnerin, A Machado, C Bonnett, D Janini, S Roelle, ...
Restorative neurology and neuroscience 33 (6), 911-926, 2015
802015
Reproducibility of transcranial magnetic stimulation metrics in the study of proximal upper limb muscles
V Sankarasubramanian, SM Roelle, CE Bonnett, D Janini, NM Varnerin, ...
Journal of Electromyography and Kinesiology 25 (5), 754-764, 2015
392015
Transcranial direct current stimulation (tDCS) paired with massed practice training to promote adaptive plasticity and motor recovery in chronic incomplete tetraplegia: a pilot …
KA Potter-Baker, DP Janini, YL Lin, V Sankarasubramanian, ...
The Journal of Spinal Cord Medicine 41 (5), 503-517, 2018
272018
Age-related weakness of proximal muscle studied with motor cortical mapping: a TMS study
EB Plow, N Varnerin, DA Cunningham, D Janini, C Bonnett, A Wyant, ...
PLoS One 9 (2), e89371, 2014
252014
Reliability of TMS metrics in patients with chronic incomplete spinal cord injury
KA Potter-Baker, DP Janini, FS Frost, P Chabra, N Varnerin, ...
Spinal cord 54 (11), 980-990, 2016
212016
Mid-level feature differences support early animacy and object size distinctions: Evidence from electroencephalography decoding
R Wang, D Janini, T Konkle
Journal of Cognitive Neuroscience 34 (9), 1670-1680, 2022
132022
General object-based features account for letter perception
D Janini, C Hamblin, A Deza, T Konkle
PLOS Computational Biology 18 (9), e1010522, 2022
102022
Post-exercise depression following submaximal and maximal isometric voluntary contraction
DA Cunningham, D Janini, A Wyant, C Bonnett, N Varnerin, ...
Neuroscience 326, 95-104, 2016
92016
A Pokémon-sized window into the human brain
D Janini, T Konkle
Nature human behaviour 3 (6), 552-553, 2019
82019
Mid-level feature differences underlie early animacy and object size distinctions: Evidence from EEG decoding
R Wang, D Janini, T Konkle
bioRxiv, 2022.01. 12.475180, 2022
32022
Whole-brain MEG decoding of symbolic and non-symbolic number stimuli reveals primarily format-dependent representations
BB Bankson, D Janini, CI Baker
bioRxiv, 731687, 2019
32019
Mid-level feature differences support early EEG-decoding of animacy and object size distinctions
R Wang, D Janini, A Kallmayer, T Konkle
Journal of Vision 20 (11), 738-738, 2020
22020
Shape features learned for object classification can predict behavioral discrimination of written symbols
D Janini, T Konkle
Journal of Vision 19 (10), 32d-32d, 2019
22019
General architectural and learning constraints produce visual features sensitive to facing dyads
D Janini, T Konkle
Journal of Vision 23 (9), 5463-5463, 2023
2023
Emergence of rich visual features from general architectural and learning constraints
D Janini
Harvard University, 2023
2023
Object-classifying neural networks have animate and inanimate feature subspaces with partially distinct representational geometries
D Janini
Journal of Vision 22 (14), 4459-4459, 2022
2022
Representational structure for letters is found throughout ventral visual cortex and matches human perception
D Janini, T Konkle
Journal of Vision 21 (9), 2791-2791, 2021
2021
Approximate number representations emerge in object-trained convolutional neural networks and show human-like signatures of number discrimination
D Janini, T Konkle
Journal of Vision 20 (11), 1120-1120, 2020
2020
Representational dynamics of number processing in symbolic and non-symbolic formats
D Janini, B Bankson, C Baker
Journal of Vision 18 (10), 827-827, 2018
2018
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Articles 1–20