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Dynamics of neuronal firing correlation: modulation of "effective connectivity".
TLDR
Adopting a model-based approach, this work develops procedures to quantify and properly normalize the classical joint peristimulus time scatter diagram and generalizes the classical measures for quantifying a direct interneuronal connection to include possible stimulus-locked time variations.
Evolutionary stable strategies and game dynamics for n-person games
  • G. Palm
  • Economics, Mathematics
  • 1 July 1984
This note contains a generalization of the definition of an evolutionary stable strategy and of the corresponding game dynamics from 2-person to n-person games. This broader framework also allows
Density of neurons and synapses in the cerebral cortex of the mouse
TLDR
In this study the density of neurons and synapses was measured in three different areas of the neocortex of the mouse and the proportion of synaptic neuropil was found to be 84%.
On the significance of correlations among neuronal spike trains
TLDR
It is possible to compare stimulus-locked, and therefore time dependent correlations for different stimuli and also for different times relative to stimulus onset, and to separate purely stimulus-induced correlation from intrinsic interneuronal correlation.
Memory Capacities for Synaptic and Structural Plasticity
TLDR
This work analyzes operating regimes in the Willshaw model in which structural plasticity can compress the network structure and push performance to the theoretical benchmark and introduces fair measures for information-theoretic capacity in associative memory that also provide a theoretical benchmark.
Neural Assemblies
  • G. Palm
  • Studies of Brain Function
  • 1982
Value-Difference Based Exploration: Adaptive Control between Epsilon-Greedy and Softmax
TLDR
The results show that a VDBE-Softmax policy can outperform e-greedy, Softmax and VDBe policies in combination with on- and off-policy learning algorithms such as Q-learning and Sarsa.
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