A deep learning framework for neuroscience BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ... Nature neuroscience 22 (11), 1761-1770, 2019 | 846 | 2019 |
A brainstem-spinal cord inhibitory circuit for mechanical pain modulation by GABA and enkephalins A François, SA Low, EI Sypek, AJ Christensen, C Sotoudeh, KT Beier, ... Neuron 93 (4), 822-839. e6, 2017 | 309 | 2017 |
Beyond the brain: Optogenetic control in the spinal cord and peripheral nervous system KL Montgomery, SM Iyer, AJ Christensen, K Deisseroth, SL Delp Science translational medicine 8 (337), 337rv5-337rv5, 2016 | 162 | 2016 |
Archy de Berker, Surya Ganguli, et al. A deep learning framework for neuroscience BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ... Nature neuroscience 22 (11), 1761-1770, 2019 | 132 | 2019 |
In vivo interrogation of spinal mechanosensory circuits AJ Christensen, SM Iyer, A Francois, S Vyas, C Ramakrishnan, S Vesuna, ... Cell reports 17 (6), 1699-1710, 2016 | 76 | 2016 |
Self-tracking energy transfer for neural stimulation in untethered mice JS Ho, Y Tanabe, SM Iyer, AJ Christensen, L Grosenick, K Deisseroth, ... Physical Review Applied 4 (2), 024001, 2015 | 55 | 2015 |
Reduced neural activity but improved coding in rodent higher-order visual cortex during locomotion AJ Christensen, JW Pillow Nature communications 13 (1), 1676, 2022 | 36* | 2022 |
Cognition and the single neuron: How cell types construct the dynamic computations of frontal cortex AJ Christensen, T Ott, A Kepecs Current opinion in neurobiology 77, 102630, 2022 | 14 | 2022 |
Recurrent deep q-learning for pac-man K Ranjan, A Christensen, B Ramos URL: https://pdfs. semanticscholar. org/70c2 …, 2016 | 7 | 2016 |
Prospective learning: Back to the future JT Vogelstein, T Verstynen, KP Kording, L Isik, JW Krakauer, ... arXiv e-prints, arXiv: 2201.07372, 2022 | 5 | 2022 |
History and Context-Dependent Modulation of Rodent Sensory Processing AJ Christensen Stanford University, 2020 | | 2020 |