Date: July 14–18 2013
This workshop will have the participation of some of the most recognized European experts in neural modelling in the context of the 23th Conference on Computational Neuroscience CNS 2013. |
Is the traditional view on brain activity dynamics, in which the cognitive flow of information wanders through multiple stable states driven by task–dependent inputs, still a robust model? This picture has been recently challenged both empirically and from the modelling perspective. In this workshop we will address a range of recent complementary views of cortical activity dynamics.
In several contemporary models, intrinsic activity fluctuations drive default transitions between metastable states shaped by anatomical connectivity, even in the absence of external stimuli. Noise enriches the dynamical repertoire of deterministic states; creating flexible "ghost" attractors which permit the effective processing of task–related cognitive entities. Another proposed metaphor of transient brain dynamics consisted of successions of metastable saddle states; dynamical objects which are particularly reliable but form which neural activity eventually switches among them, even without the intervention of noise.
In this workshop we will have modelling and data analysis contributions which focus on metastable activity dynamics, analyses of non–stationary neural recordings and transient dynamics during cognitive processing. The next topics will be discussed:
This event will take place on the July 17 2013.
Highly Chaotic Yet Ordered: Cortical Dynamics as Stochastic Transitions Among Semi-Attracting States
Models and novel experimental tools to address information processing in transient neural dynamics
Poisson–like spiking and contrast invariant sampling in multi-stable networks with probabilistic synapses
The link between Structure and Dynamics in Whole Brain Models
Consciousness and brain complexity: from theory to practice
Organization of emergent patterns of activity in control and altered cortical networks
Multiscale nonlinear dynamics of slow oscillations across cortical surface
Can we Identify Latent Non-Stationary Dynamics in Neural Populations?
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