Juan Manuel Galeazzi, DPhil
Affiliations: | Experimental Psychology | University of Oxford, Oxford, United Kingdom |
Area:
Neural coding, Neural networks, ElectrophysiologyGoogle:
"Juan Galeazzi"Cross-listing: Neurotree
Parents
Sign in to add mentor| Simon Stringer | grad student | Oxford | |
| Mark J. Buckley | post-doc | Oxford | |
| Glyn Humphreys | post-doc | Oxford (Neurotree) |
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Publications
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| Wu Z, Kavanova M, Hickman L, et al. (2021) Low beta repetitive transcranial magnetic stimulation to human dorsolateral prefrontal cortex during object recognition memory sample presentation, at a task related frequency observed in local field potentials in homologous macaque cortex, impairs subsequent recollection but not familiarity. The European Journal of Neuroscience |
| Isbister JB, Eguchi A, Ahmad N, et al. (2018) A new approach to solving the feature-binding problem in primate vision. Interface Focus. 8: 20180021 |
| Born J, Galeazzi JM, Stringer SM. (2017) Hebbian learning of hand-centred representations in a hierarchical neural network model of the primate visual system. Plos One. 12: e0178304 |
| Galeazzi JM, Navajas J, Mender BM, et al. (2016) The visual development of hand-centered receptive fields in a neural network model of the primate visual system trained with experimentally recorded human gaze changes. Network (Bristol, England). 1-23 |
| Galeazzi JM, Minini L, Stringer SM. (2015) The Development of Hand-Centered Visual Representations in the Primate Brain: A Computer Modeling Study Using Natural Visual Scenes. Frontiers in Computational Neuroscience. 9: 147 |
| Galeazzi JM, Mender BM, Paredes M, et al. (2013) A self-organizing model of the visual development of hand-centred representations. Plos One. 8: e66272 |
| Galeazzi JM, Stringer SM. (2013) Neural network modelling of hierarchical motor function in the brain Computational and Robotic Models of the Hierarchical Organization of Behavior. 2147483647: 293-317 |
| Sánchez JM, Galeazzi JM, Burgos JE. (2010) Some structural determinants of Pavlovian conditioning in artificial neural networks. Behavioural Processes. 84: 526-35 |