2008, Rapid adaptation and population coding. 3rd COLAMN Project Meeting. University of Plymouth, UK
2007, Reverse Engineering: Weight-dynamics consistent with weights distributions. CNL Seminar Series. The Salk Institute for Biological Studies. San Diego, USA
2007, An informational perspective to visual adaptation. CNL Seminar Series. The Salk Institute for Biological Studies. San Diego, USA
2007, Synaptic depression and orientation selectivity: A potential mechanistic model of visual adaptation. Invited talk. Science Symposium in Honor of Terry Sejnowski’s 60th Birthday. The Salk Institute for Biological Studies. San Diego, USA
2007, Could synaptic depression explains some properties of visual adaptation? ANC Review Day. University of Edinburgh, UK
2007, Could synaptic depression explains some properties of visual adaptation? ANC Seminar Series, University of Edinburgh, UK
2006, Long range time autocorrelations at synapses and adaptation. CNL Seminar Series. The Salk Institute for Biological Studies. San Diego, USA
2006, Activity dependent mechanisms: Functional importance in classical neural systems. Insitute for Non-Linear Science (INLS). Invited talk. San Diego, USA
2006, Activity dependent mechanisms: Functional importance in classical neural systems. CNL Seminar Series. The Salk Institute for Biological Studies. San Diego, USA
2006, Dynamical processes in familiarity discrimination. 9th Granada Seminar on Computational Physics. Granada, Spain
2006, Facilitation, depression and noise at the network level. Annual Meeting of the Theoretical Neuroscience Network. Bristol, UK
2006, How activity dependent mechanisms affects familiarity discrimination. Invited talk. Department of Computer Science. University of Bristol, UK
2006, A competition among depression, facilitation and noise in recurrent networks with oscillatory neural activity. ANC Seminar Series, University of Edinburgh, UK
2006, Competing dynamics in recurrent networks with partial synchronization of nodes: A perspective based on criticality. ANC Seminar Series, University of Edinburgh, UK
J. M. Cortes, P. L. Garrido, J. Marro and J. J. Torres. Switching between memories in neural automata with synaptic noise. Neurocomputing 58-60: 67-71, 2004 [pdf] We present a stochastic neural automata in which activity fluctuations and synaptic intensities evolve at different temperature, the latter moving through a set of stored patterns. The network thus exhibits various retrieval phases, including one which depicts continuous switching between attractors. The switching may […]
J.M. Cortes, T.J. Sejnowski and M.C.W. van Rossum. Reverse Engineering: Weight dynamics consistent with experimental weight distributions. Society for Neuroscience Annual Meeting 2007 The strengths of synaptic connections that are responsible for perception and memory change on time scales ranging from milliseconds to many days. A key question is how memories can be made stable over long periods of time despite the ongoing synaptic plasticity. The distribution of synaptic weights […]
D. Marinazzo, J.M. Cortes, M. Postlethwaite and M. Hennig. Synaptic depression and multi-scale phenomena. Society for Neuroscience Annual Meeting 2007 How short term plasticity (STP) affects synaptic transmission has been widely studied during the last decade (Zucker and Regehr, 2001). During repetitive stimulation, a postsynaptic response can be facilitated or depressed or shaped by a combination of both. These effects have been successfully explained by models focusing on two main […]
J.M.A.M. Kusters, A.P.R. Theuvenet, D.L. Ypey, W.P.M. van Meerwijk, J.M. Cortes and C.C.A.M. Gielen. Calcium Oscillations driving an excitable membrane: Hysteresis and Bi-stability. Biophysical Society: 51th Annual Meeting. Biophysical Journal 257A-257A Suppl. S, 2007 In normal rat kidney (NRK) fibroblasts the excitable membrane exhibits action potentials caused by an intracellular, IP3-mediated calcium oscillation (CaO). We modeled that process in detail and applied bifurcation analysis to investigate the dynamic behaviour of […]
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 […]
2005, Activity dependent fast noise and its influence on the dynamics. SNN Seminar Series. Radboud University Nijmegen, The Netherlands
2005, Neural chaos and synaptic noise. Insitute for adaptive and neural computation. ANC Seminar Series, University of Edinburgh, UK
Fri Feb 4, 2011. 10.30am-2.30pm. Salon de Actos Escuela Tecnica Superior de Ingenieria Informatica y Telecomunicacion. UGR Follow the event in live streaming at the link CEVUG/UGR Hashtag for twitter, #sejnowski Download Final Schedule Donwload the poster for the event Funded by: GENIL: Granada Excellence Network of Innovation Laboratories MSc in Soft Computing and Intelligent Systems. UGR MSc in Multimedia Systems. UGR MSc in Computer and Network Engineering. UGR MSc […]
Dr. Terrence Sejnowski HHMI and Salk Insitute, USA Convergence and Divergence between Biological and Artificial Intelligence Fri Feb 4, 2011. 10.30am. Terrence Sejnowski is a pioneer in computational neuroscience and his goal is to understand the principles that link brain to behavior. His laboratory uses both experimental and modeling techniques to study the biophysical properties of synapses and neurons and the population dynamics of large networks of neurons. New computational […]
Dr Sebastiano Stramaglia University of Bari, Italy Causal approaches to the inference of dynamical networks Thu Sep 30, 2010. 11.00am. Granger causality is a major approach to measure the information flow between variables. In its original formulation, Granger causality is based on linear modelling of the data. In the last years, the problem of causality attracted interest also in the machine learning community, and a nonlinear version of Granger causality […]
J. Marro, J. M. Cortes and P. I. Hurtado. Modeling nonequilibrium phase transitions and critical behavior in complex systems. Computer Physics Communications 147: 115-119, 2002 [pdf] We comment on some recent, yet unpublished results concerning instabilities in complex systems and their applications. In particular, we briefly describe main observations during extensive computer simulations of two lattice nonequilibrium models. One exhibits robust and efficient processes of pattern recognition under synaptic coherent […]
2003, Switching between memories in neural automata with synaptic noise. SNN Seminar Series. Radboud University Nijmegen, The Netherlands