Browsing GGNB - Göttinger Graduiertenzentrum für Neurowissenschaften, Biophysik und molekulare Biowissenschaften by Referee "Geisel, Theo Prof. Dr."
Now showing items 1-14 of 14
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Attention: A Complex System
(2015-12-21)Experiments have elucidated the neuronal correlates of attention in the primate brain, and have led to a number of models capturing various aspects of these experiments. However, these model propose qualitatively different ... -
Chaotic Dynamics in Networks of Spiking Neurons in the Balanced State
(2011-05-30)The brain processes sensory information about the outside world in large complex networks of neurons which communicate with short electrical pulses called action potentials or spikes. The ... -
Complex Dynamics in the Spread of COVID-19
(2023-05-05)The COVID-19 pandemic is the most recent example that infectious diseases can disrupt and permanently alter how societies work and interact. This manuscript builds around a series of papers studying disease spread from the ... -
Cyclic Dynamics of Spatially Heterogeneous Populations - From Biodiversity to Disease Prevalence
(2013-01-31)Cyclic dynamics and spatial heterogeneity are pivotal aspects both of ecological populations in which species compete cyclically for dominance as well as of epidemiological populations in which diseases elicit life-long ... -
Dynamic fitness and horizontal gene transfer in stochastic evolutionary dynamics
(2013-03-12)The evolution of species is shaped by processes such as selection, mutations or genetic drift. Still, we are far away from a complete understanding of how these processes drive evolutionary dynamics in detail. Therefore, ... -
Evolutionary dynamics in changing environments
(2018-06-12)Evolution can be understood as an optimization mechanism on the fitness function, which is defined as the reproductive success of a species. If the environmental conditions remain constant, the stationary states of the ... -
Generation principles for arm movements in humans
(2012-06-14)This thesis comprises studies on the two major domains of motor control – posture and movement – with special focus on human upper limbs. Endeffector stiffness characterises the resistance of the arm against external ... -
Internal representations of time and motion
(2011-05-03)The way how humans perceive the passage of time is one of the greatest mysteries both in neuroscience and psychology. Compared to other perceptual quantities, relatively little is known ... -
Margin learning in spiking neural networks
(2018-11-29)The ability to learn, generalize and reliably detect features embedded in continuous sensory input streams is a crucial function of the central nervous system. Sensory neurons process input from thousands of synapses ... -
Network Dynamics as an Inverse Problem
(2016-12-16)In this thesis, we take a general view on the study of networks from inverse perspectives. By proposing a general representation for the dynamics of networks in terms of explicit dependencies among units, we develop new ... -
Optimization principles and constraints shaping visual cortical architecture
(2012-05-03)Neurons in the mammalian primary visual cortex (V1) are often preferentially driven by only one of the two eyes and respond best to oriented bar stimuli at a particular position in the visual field. Most carnivorans and ... -
Oscillations in routing and chaos
(2017-10-09)The human brain is one of the most complex structures known to mankind, and arguably the most elaborate biological system that ever evolved. Studying such complex machinery whose precision and efficiency we witness in the ... -
Studies of cultured neuronal networks using light activated ion channels and pumps
(2013-02-26)In the presented thesis work, an “Optical Network Electrophysiology “ system that combines optical stimulation using optogenetic tools and multisite neuronal recording using microelectrode arrays was developed and its ... -
Universal Computation and Memory by Neural Switching
(2011-10-21)Complex heteroclinic networks of connected saddle states persistently emerge in a broad range of dynamical systems and may reliably encode ``memory items'' as specific switching trajectories. ...