Salva Ardid
Salva Ardid
GenT Distinguished Research Group Leader, Universitat Politècnica de València
upv.es üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
An integrated microcircuit model of attentional processing in the neocortex
S Ardid, XJ Wang, A Compte
Journal of Neuroscience 27 (32), 8486-8495, 2007
1142007
Burst firing synchronizes prefrontal and anterior cingulate cortex during attentional control
T Womelsdorf, S Ardid, S Everling, TA Valiante
Current Biology 24 (22), 2613-2621, 2014
762014
Mapping of functionally characterized cell classes onto canonical circuit operations in primate prefrontal cortex
S Ardid, M Vinck, D Kaping, S Marquez, S Everling, T Womelsdorf
Journal of Neuroscience 35 (7), 2975-2991, 2015
632015
Reconciling coherent oscillation with modulation of irregular spiking activity in selective attention: gamma-range synchronization between sensory and executive cortical areas
S Ardid, XJ Wang, D Gomez-Cabrero, A Compte
The Journal of Neuroscience 30 (8), 2856-2870, 2010
582010
Anterior cingulate cortex cells identify process-specific errors of attentional control prior to transient prefrontal-cingulate inhibition
C Shen, S Ardid, D Kaping, S Westendorff, S Everling, T Womelsdorf
Cerebral Cortex 25 (8), 2213-2228, 2015
472015
A tweaking principle for executive control: neuronal circuit mechanism for rule-based task switching and conflict resolution
S Ardid, XJ Wang
Journal of Neuroscience 33 (50), 19504-19517, 2013
342013
DynaSim: a MATLAB toolbox for neural modeling and simulation
JS Sherfey, AE Soplata, S Ardid, EA Roberts, DA Stanley, ...
Frontiers in neuroinformatics 12, 10, 2018
302018
Feature-specific prediction errors and surprise across macaque fronto-striatal circuits
M Oemisch, S Westendorff, M Azimi, SA Hassani, S Ardid, P Tiesinga, ...
Nature communications 10 (1), 1-15, 2019
262019
A computational psychiatry approach identifies how alpha-2A noradrenergic agonist Guanfacine affects feature-based reinforcement learning in the macaque
SA Hassani, M Oemisch, M Balcarras, S Westendorff, S Ardid, ...
Scientific reports 7 (1), 1-19, 2017
182017
Attentional selection can be predicted by reinforcement learning of task-relevant stimulus features weighted by value-independent stickiness
M Balcarras, S Ardid, D Kaping, S Everling, T Womelsdorf
Journal of cognitive neuroscience 28 (2), 333-349, 2016
172016
Flexible resonance in prefrontal networks with strong feedback inhibition
JS Sherfey, S Ardid, J Hass, ME Hasselmo, NJ Kopell
PLoS computational biology 14 (8), e1006357, 2018
152018
Biased competition in the absence of input bias revealed through corticostriatal computation
S Ardid, JS Sherfey, MM McCarthy, J Hass, BR Pittman-Polletta, N Kopell
Proceedings of the National Academy of Sciences 116 (17), 8564-8569, 2019
132019
Prefrontal oscillations modulate the propagation of neuronal activity required for working memory
J Sherfey, S Ardid, EK Miller, ME Hasselmo, NJ Kopell
Neurobiology of learning and memory 173, 107228, 2020
72020
Neuroswarm: a methodology to explore the constraints that function imposes on simulation parameters in large-scale networks of biological neurons
D Gomez-Cabrero, S Ardid, M Cano-Colino, J Tegnér, A Compte
Uncertainty in biology, 427-447, 2016
52016
Feature specific prediction errors and surprise across macaque fronto-striatal circuits during attention and learning
M Oemisch, S Westendorff, M Azimi, SA Hassani, S Ardid, P Tiesinga, ...
BioRxiv, 266205, 2018
32018
Subnetwork selection in deep cortical layers is mediated by beta-oscillation dependent firing
T Womelsdorf, S Westendorff, S Ardid
Frontiers in systems neuroscience 7, 25, 2013
32013
Constraints on Persistent Activity in a Biologically Detailed Network Model of the Prefrontal Cortex with Heterogeneities
J Hass, S Ardid, J Sherfey, N Kopell
bioRxiv, 645663, 2019
12019
Biased competition in the absence of input bias: predictions from corticostriatal computation
S Ardid, JS Sherfey, MM McCarthy, J Hass, BR Pittman-Polletta, N Kopell
BioRxiv, 258053, 2018
12018
“Adaptive learning” as a mechanistic candidate for reaching optimal task-set representations flexibly
S Ardid, M Balcarras, T Womelsdorf
BMC Neuroscience 15 (1), 1-2, 2014
12014
What can tracking fluctuations in dozens of sensory neurons tell about selective attention?
JD Murray, S Ardid
Frontiers in systems neuroscience 5, 35, 2011
12011
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20