activity
20092026
most citedRisk-sensitive Reinforcement Learning

116 citations · 626 across the 37 of their papers we have counts for

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Showing q-bio.NCShow all

11 papers · 1 filter

q-bio.NC2026

Forward and reverse delay-driven hippocampal replay without symmetric plasticity

Georg Reich, Matthew Cook, Klaus Obermayer +1

Hippocampal replay is a phenomenon observed in mammals and songbirds where neural activation sequences experienced during wakeful periods are repeated during rest or sleep. This me…

q-bio.NC2021★ 17 cited

Applications of optimal nonlinear control to a whole-brain network of FitzHugh-Nagumo oscillators

Teresa Chouzouris, Nicolas Roth, Caglar Cakan +1

We apply the framework of optimal nonlinear control to steer the dynamics of a whole-brain network of FitzHugh-Nagumo oscillators. Its nodes correspond to the cortical areas of an…

q-bio.NC2020

Spatiotemporal patterns of adaptation-induced slow oscillations in a whole-brain model of slow-wave sleep

Caglar Cakan, Cristiana Dimulescu, Liliia Khakimova +3

During slow-wave sleep, the brain is in a self-organized regime in which slow oscillations (SOs) between up- and down-states travel across the cortex. While an isolated piece of co…

q-bio.NC2019★ 68 cited

Biophysically grounded mean-field models of neural populations under electrical stimulation

Caglar Cakan, Klaus Obermayer

Electrical stimulation of neural systems is a key tool for understanding neural dynamics and ultimately for developing clinical treatments. Many applications of electrical stimulat…

q-bio.NC2017★ 2 cited

A computational study on synaptic and extrasynaptic effects of astrocyte glutamate uptake on orientation tuning in V1

Konstantin Mergenthaler, Franziska Oschmann, Jeremy Petravicz +3

Astrocytes affect neural transmission by a tight control via glutamate transporters on glutamate concentrations in direct vicinity to the synaptic cleft and by extracellular glutam…

q-bio.NC2016★ 77 cited

Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation

Moritz Augustin, Josef Ladenbauer, Fabian Baumann +1

The spiking activity of single neurons can be well described by a nonlinear integrate-and-fire model that includes somatic adaptation. When exposed to fluctuating inputs sparsely c…