Izaro Fernandez-Iriondo, Basilio Sierra, Jose Maria Martmez-Otzeta, Antonio Jimenez-Marin, Paolo Bonifazi, Yosu Yurramendi, and Jesus M. Cortes. Multiscale network regression for associations between brain connectivity and cognitive and behavioural indices. 2021 6th International Conference on Computational Intelligence and Applications (ICCIA). article: [pdf] Abstract The study of the relationship between brain connectivity and cognitive abilities is of great importance for a better understanding of the human mind. We propose to tackle […]
non JCRs
16 posts
Sebastiano Stramaglia, Leonardo Angelini, Jesus M. Cortes and Daniele Marinazzo. Synergy, redundancy and unnormalized Granger causality. EMBS 4037-4040, 2015 [arXiv:1504.03584] [pdf]
S. Stramaglia, J.M. Cortes, L. Angelini, M. Pellicoro and D. Marinazzo. Information flow in Ising models on brain networks. V.M. Mladenov and P.C. Ivanov (Eds.): NDES 2014, CCIS 438, pp. 301–308, 2014 [pdf]. We analyze the information flow in the Ising model on two real networks, describing the brain at the mesoscale, with Glauber dynamics. We find that the critical state is characterized by the maximal amount of information flow […]
J. Hidalgo, L.F. Seoane, J.M. Cortes and M.A. Muñoz. Does the phenomenon of stochastic amplification of fluctuations play a relevant role in cortical dynamics? AIP Conference Proceedings 1510: 94-100, 2012 [pdf] We review the mechanism of stochastic amplification of fluctuations in the context of fast cortical oscillations observed during up-states both in vitro and in vivo. For this purpose, we employ minimalistic models based on short-time synaptic depression with or […]
A. Lopez, J.M. Cortes, D. Lopez-Oller, R. Molina and A.K. Katsaggelos. Hyperparameters Estimation for the Bayesian Localization of the EEG Sources with TV Priors. EUSIPCO 2012: 20th European Signal Processing Conference , pags 489-493, 2012 [pdf] In this work we propose a new Bayesian method for the non-invasive localization of EEG sources. For this problem, most of the existing methods assume that the sources are distributed throughout the brain volume […]
J.M. Cortes, D. Marinazzo, T.J. Sejnowski and M.C.W. van Rossum. The Direction of Tilt Aftereffects Depends on Short-term Inhibitory Facilitation. NIPS 2011, Submitted but Rejected [pdf] Neural adaptation leads to changes in the responses of single neurons and neural populations during continued exposure to a stimulus. At the single neuron level, adaptation reduces responses to a constant stimulus. At the perceptual level, adaptation can manifest itself as aftereffects. For instance, […]
J.M. Cortes. Interfaces cerebro-maquina, un gran paso hacia la Inteligencia Artificial. Ciencia Cognitiva: Revista Electronica de Divulgacion 3: 24-26, 2009 [pdf] Dentro de la Neurociencia Computacional, la Neuro-ingeniería desarrolla sistemas de comunicación entre una máquina y alguna parte del sistema nervioso. Sin lugar a dudas, estos sistemas constituyen un gran reto científico, ingenieril y ético. Sin embargo, su correcto funcionamiento todavía plantea muchos problemas.
J.M. Cortes. La Neurociencia Computacional hoy: I. Que es y por que es dificil su estudio. Ciencia Cognitiva: Revista Electronica de Divulgacion 3: 5-7, 2009 [pdf] La Neurociencia Computacional es una disciplina consolidada, con más de 20 años de desarrollo, y que emplea técnicas muy diversas para entender diferentes computaciones cerebrales. Aquí se introduce brevemente mediante dos artículos. En el primero, “Qué es y por qué es difícil su estudio”, […]
J.M. Cortes. La Neurociencia Computacional hoy: II. Un ejemplo muy representativo en el campo. Ciencia Cognitiva: Revista Electronica de Divulgacion 3: 8-11, 2009 [pdf] La Neurociencia Computacional es un campo reciente, pero bien establecido dentro de las Neurociencias. En un primer artículo Cortes 2009, “Qué es y por qué es difícil su estudio”, explico su principal paradigma: todo proceso mental que tiene lugar en nuestro cerebro tiene un circuito o […]
J.M.A.M. Kusters, J.M. Cortes, W.P.M. van Meerwijk, D.L.Ypey, A.P.R. Theuvenet and C.C.A.M. Gielen. Oscillatory activity in cells: multi-stability and hysteresis. AIP Conference Proceedings 887: 40-50, 2007 [pdf] Oscillatory activity of cells has been the topic of many studies. Oscillatory activity can be due to action potential firing corresponding to the well-known Hodgkin-Huxley (HH) type dynamics of ion-channels in the cell membrane or due to IP3-mediated calcium oscillations in the endoplasmic […]
J.J. Torres, J. M. Cortes and J. Marro. Information processing with unstable memories. AIP Conference Proceedings 887: 115-128, 2007 [pdf] We present a theoretical framework which allows one to study both theoretically and numerically the effect of including activity dependent mechanisms in the dynamics of synapses in simple neural networks. In particular, we study synaptic changes at different time scales from less than the millisecond (fast synaptic noise) to the […]
J.M. Cortes, A. Greve and M.C.W. van Rossum. Dynamical effects on familiarity discrimination. AIP Conference Proceedings 887: 217-223, 2007 [pdf] One process involved in recognition memory is familiarity discrimination. Familiarity distinguishes almost immediately after stimulus presentation whether the item was previously encountered (old) or novel. By using a formalism based on attractor neural networks, we discuss different dynamical processes affecting familiarity discrimination. First, we compare two different familiarity discriminators, the […]
J. Marro, J. M. Cortes and J. J. Torres. Discriminacion, generalizacion y clasificacion mediante automatas neuronales con ruido que induce depresion sinaptica. In CEDI2005, Ed. Thomson, pp. 335-341, 2005 ISBN:84-9732-444-7 [pdf] En una serie de trabajos recientes se estudian varias realizaciones de redes de neuronas artificiales que tienen aspectos notables. Se trata de algoritmos que, además de mostrar una memoria asociativa eficaz, son capaces de detectar similitudes (generalización) y diferencias […]
J.M. Cortes. Cooperative Phenomena in Stochastic Neural Networks with Dynamic Synapses. PhD Thesis, 2005. ISBN: 84-3383-291-3 [pdf]
J. J. Torres, J. M. Cortes and J. Marro. Instability of attractors in auto-associative networks with bio-inspired fast synaptic noise. Lecture Notes in Computer Science 3512: 161-167, 2005 [pdf] We studied auto–associative networks in which synapses are noisy on a time scale much shorter that the one for the neuron dynamics. In our model a presynaptic noise causes postsynaptic depression as recently observed in neurobiological systems. This results in a […]
J. M. Cortes, P. L. Garrido, H. J. Kappen, J. Marro, C. Morillas, D. Navidad and J. J. Torres. Algorithms for identification and categorization. AIP Conference Proceedings 779: 178-184, 2005 [pdf] This article reports on a series of efforts during the last decade aimed at modeling in a computer the cooperative properties that, according to some experimental evidence, could be relevant for the processing of patterns in a brain. In […]