Adam Raymond Kampff
Adam Raymond Kampff
Voight-Kampff, London
Verified email at - Homepage
Cited by
Cited by
Motor cortex is required for learning but not for executing a motor skill
R Kawai, T Markman, R Poddar, R Ko, AL Fantana, AK Dhawale, ...
Neuron 86 (3), 800-812, 2015
Bonsai: an event-based framework for processing and controlling data streams
G Lopes, N Bonacchi, J Frazão, JP Neto, BV Atallah, S Soares, L Moreira, ...
Frontiers in neuroinformatics 9, 7, 2015
Prey capture behavior evoked by simple visual stimuli in larval zebrafish
IH Bianco, AR Kampff, F Engert
Frontiers in systems neuroscience 5, 101, 2011
Big behavioral data: psychology, ethology and the foundations of neuroscience
A Gomez-Marin, JJ Paton, AR Kampff, RM Costa, ZF Mainen
Nature neuroscience 17 (11), 1455-1462, 2014
Control of visually guided behavior by distinct populations of spinal projection neurons
MB Orger, AR Kampff, KE Severi, JH Bollmann, F Engert
Nature neuroscience 11 (3), 327-333, 2008
Development of social behavior in young zebrafish
E Dreosti, G Lopes, AR Kampff, SW Wilson
Frontiers in neural circuits 9, 39, 2015
Monitoring neural activity with bioluminescence during natural behavior
EA Naumann, AR Kampff, DA Prober, AF Schier, F Engert
Nature neuroscience 13 (4), 513-520, 2010
Validating silicon polytrodes with paired juxtacellular recordings: method and dataset
JP Neto, G Lopes, J Frazão, J Nogueira, P Lacerda, P Baião, A Aarts, ...
Journal of neurophysiology 116 (2), 892-903, 2016
Does impedance matter when recording spikes with polytrodes?
JP Neto, P Baião, G Lopes, J Frazão, J Nogueira, E Fortunato, ...
Frontiers in neuroscience 12, 715, 2018
Spatiotemporal specificity of neuronal activity directs the modification of receptive fields in the developing retinotectal system
RL Vislay-Meltzer, AR Kampff, F Engert
Neuron 50 (1), 101-114, 2006
Whole-brain mapping of socially isolated zebrafish reveals that lonely fish are not loners
H Tunbak, M Vazquez-Prada, TM Ryan, AR Kampff, E Dreosti
Elife 9, e55863, 2020
t-SNE visualization of large-scale neural recordings
G Dimitriadis, JP Neto, AR Kampff
Neural computation 30 (7), 1750-1774, 2018
Denoising auto-encoders for learning of objects and tools affordances in continuous space
A Dehban, L Jamone, AR Kampff, J Santos-Victor
2016 IEEE International Conference on Robotics and Automation (ICRA), 4866-4871, 2016
Why not record from every electrode with a CMOS scanning probe?
G Dimitriadis, JP Neto, A Aarts, A Alexandru, M Ballini, F Battaglia, ...
BioRxiv, 275818, 2018
Recording from the same neuron with high-density CMOS probes and patch-clamp: a ground-truth dataset and an experiment in collaboration
A Marques-Smith, JP Neto, G Lopes, J Nogueira, L Calcaterra, J Frazão, ...
BioRxiv, 370080, 2018
A robust role for motor cortex
G Lopes, J Nogueira, JJ Paton, AR Kampff
BioRxiv, 058917, 2016
Transparent and flexible electrocorticography electrode arrays based on silver nanowire networks for neural recordings
JP Neto, A Costa, J Vaz Pinto, A Marques-Smith, JC Costa, R Martins, ...
ACS Applied Nano Materials 4 (6), 5737-5747, 2021
A deep probabilistic framework for heterogeneous self-supervised learning of affordances
A Dehban, L Jamone, AR Kampff, J Santos-Victor
2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids …, 2017
HIVE Tracker: a tiny, low-cost, and scalable device for sub-millimetric 3D positioning
DR Quiñones, G Lopes, D Kim, C Honnet, D Moratal, A Kampff
Proceedings of the 9th Augmented Human International Conference, 1-8, 2018
A moderately large size dataset to learn visual affordances of objects and tools using icub humanoid robot
A Dehban, L Jamone, AR Kampff, J Santos-Victor
ECCV Workshop on Action and Anticipation for Visual Learning, 2016
The system can't perform the operation now. Try again later.
Articles 1–20