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20092026
most citedRisk-sensitive Reinforcement Learning

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

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Showing 2013Show all

6 papers · 1 filter

cs.LG2013★ 116 cited

Risk-sensitive Reinforcement Learning

Yun Shen, Michael J. Tobia, Tobias Sommer +1

We derive a family of risk-sensitive reinforcement learning methods for agents, who face sequential decision-making tasks in uncertain environments. By applying a utility function…

q-bio.NC2013★ 61 cited

Impact of adaptation currents on synchronization of coupled exponential integrate-and-fire neurons

Josef Ladenbauer, Moritz Augustin, LieJune Shiau +1

Author summary: Synchronization of neuronal spiking in the brain is related to cognitive functions, such as perception, attention, and memory. It is therefore important to determin…

q-bio.NC2013★ 30 cited

How adaptation currents change threshold, gain and variability of neuronal spiking

Josef Ladenbauer, Moritz Augustin, Klaus Obermayer

Many types of neurons exhibit spike rate adaptation, mediated by intrinsic slow -currents, which effectively inhibit neuronal responses. How these adaptation currents…

nlin.AO2013★ 29 cited

Adaptation controls synchrony and cluster states of coupled threshold-model neurons

Josef Ladenbauer, Judith Lehnert, Hadi Rankoohi +3

We analyze zero-lag and cluster synchrony of delay-coupled non-smooth dynamical systems by extending the master stability approach, and apply this to networks of adaptive threshold…

nlin.AO2013

Adaptation controls synchrony and cluster states of coupled threshold-model neurons: Supplemental Material

Josef Ladenbauer, Judith Lehnert, Hadi Rankoohi +2

Derivation of the transition conditions for the variational equations for zero-lag and cluster synchrony.

q-bio.NC2013★ 5 cited

Afferent specificity, feature specific connectivity influence orientation selectivity: A computational study in mouse primary visual cortex

Dipanjan Roy, Yenni Tjandra, Konstantin Mergenthaler +5

Primary visual cortex (V1) provides crucial insights into the selectivity and emergence of specific output features such as orientation tuning. Tuning and selectivity of cortical n…