Items where City Author is "Inotsis, P."

Up a level
Export as [feed] RSS 2.0 [feed] RSS
Group by: Publication Type | No Grouping
Number of items: 16.


Pinotsis, D. A., Buschman, T. J. & Miller, EK (2018). Working Memory Load Modulates Neuronal Coupling. Cerebral Cortex, doi: 10.1093/cercor/bhy065

Pinotsis, D. A., Brincat, S. L & Miller, E. K. (2017). On memories, neural ensembles and mental flexibility. NeuroImage, 157, pp. 297-313. doi: 10.1016/j.neuroimage.2017.05.068

Karanasiou, A. P. & Pinotsis, D. A. (2017). A study into the layers of automated decision-making: emergent normative and legal aspects of deep learning. International Review of Law, Computers and Technology, 31(2), pp. 170-187. doi: 10.1080/13600869.2017.1298499

Diez, A., Ranlund, S., Pinotsis, D. A., Calafato, S., Shaikh, M., Hall, M., Walshe, M., Nevado, A., Friston, K.J., Adams, R.A. & Bramon, E. (2017). Abnormal Frontoparietal Synaptic Gain Mediating the P300 in Patients with Psychotic Disorder and Their Unaffected Relatives. HUMAN BRAIN MAPPING, 38(6), pp. 3262-3276. doi: 10.1002/hbm.23588

Diez, A., Ranlund, S., Pinotsis, D. A., Calafato, S., Shaikh, M., Hall, M-H., Walshe, M., Nevado, Á., Friston, K. J., Adams, R. & Bramon, E. (2017). SU72. Abnormal Frontal Synaptic Gain Mediating the P300 in Patients With Psychosis and Their Unaffected Relatives. Schizophrenia Bulletin, 43(Suppl), S187-S187.

Pinotsis, D. A., Geerts, J. P., Pinto, L., FitzGerald, T. H. B., Litvak, V., Auksztulewicz, R. & Friston, K. J. (2016). Linking canonical microcircuits and neuronal activity: Dynamic causal modelling of laminar recordings. Neuroimage, 146, pp. 355-366. doi: 10.1016/j.neuroimage.2016.11.041

Pinotsis, D. A., Loonis, R., Bastos, A. M., Miller, E. K. & Friston, K. J. (2016). Bayesian Modelling of Induced Responses and Neuronal Rhythms. Brain Topography, doi: 10.1007/s10548-016-0526-y

Pinotsis, D. A., Perry, G., Litvak, V., Singh, K. D. & Friston, K. J. (2016). Intersubject variability and induced gamma in the visual cortex: DCM with empirical Bayes and neural fields. Human Brain Mapping, 37(12), pp. 4597-4614. doi: 10.1002/hbm.23331

Adams, R. A., Bauer, M., Pinotsis, D. A. & Friston, K. J. (2016). Dynamic causal modelling of eye movements during pursuit: Confirming precision-encoding in V1 using MEG. Neuroimage, 132, pp. 175-189. doi: 10.1016/j.neuroimage.2016.02.055

Ranlund, S., Adams, R. A., Diez, A., Constante, M., Dutt, A., Hall, M-H., Carbayo, A. M., McDonald, C., Petrella, S., Schulze, K., Shaikh, M., Walshe, M., Friston, K. J., Pinotsis, D. A. & Bramon, E. (2015). Impaired Prefrontal Synaptic Gain in People with Psychosis and Their Relatives during the Mismatch Negativity. Human Brain Mapping, 37(1), pp. 351-365. doi: 10.1002/hbm.23035

Friston, K. J., Bastos, A. M., Pinotsis, D. A. & Litvak, V. (2014). LFP and oscillations - what do they tell us?. Current Opinion in Neurobiology, 31, pp. 1-6. doi: 10.1016/j.conb.2014.05.004

Pinotsis, D. A., Robinson, P., Graben, P. B. & Friston, K. J. (2013). Neural masses and fields: modeling the dynamics of brain activity. Frontiers in Computational Neuroscience, 8, doi: 10.3389/fncom.2014.00149

Pinotsis, D. A., Leite, M. & Friston, K. J. (2013). On conductance-based neural field models. Frontiers in Computational Neuroscience, 7, 57.. doi: 10.3389/fncom.2013.00158

Moran, R., Pinotsis, D. A. & Friston, K. J. (2013). Neural masses and fields in dynamic causal modeling. Frontiers in Computational Neuroscience, 7, 57.. doi: 10.3389/fncom.2013.00057

Book Section

Pinotsis, D. A. & Miller, E. K. (2017). New approaches for studying cortical representations. In: The 2017 AAAI Spring Symposium Series. (pp. 613-615). Palo Alto, California: AAAI. ISBN 9781577357797

Conference or Workshop Item

Karanasiou, A. P. & Pinotsis, D. A. (2017). Towards a legal definition of machine intelligence: the argument for artificial personhood in the age of deep learning. In: Jeroen Keppens & Guido Governatori (Eds.), ICAIL '17 Proceedings of the 16th edition of the International Conference on Articial Intelligence and Law. (pp. 119-128). New York, NY: ACM. ISBN 978-1-4503-4891-1

This list was generated on Sat Jul 21 04:29:17 2018 UTC.