activity
20142022
most citedEcho State Condition at the Critical Point

8 citations · 12 across the 7 of their papers we have counts for

collaborators

8 papers

cs.NE2022

Analyzing Echo-state Networks Using Fractal Dimension

Norbert Michael Mayer, Oliver Obst

This work joins aspects of reservoir optimization, information-theoretic optimal encoding, and at its center fractal analysis. We build on the observation that, due to the recursiv…

cs.RO2019

Designing an Inertia Actuator with a Fast Rotating Gyro inside an Egg-shaped Robot

Chun-Chi Wang, He-Zhi Liu, Rui-Yuan Lin +2

In this paper, we describe features of two new robot prototypes that are actuated by an actively controlled gyro (flywheel, symmetric rotor) inside a hollow sphere that is located…

cs.RO2018★ 1 cited

Kinematics and dynamics of an egg-shaped robot with a gyro driven inertia actuator

Norbert Michael Mayer

The manuscript discusses still preliminary considerations with regard to the dynamics and kinematics of an egg shaped robot with an gyro driven inertia actuator. The method of calc…

cs.NE2016

Critical Echo State Networks that Anticipate Input using Morphable Transfer Functions

Norbert Michael Mayer

The paper investigates a new type of truly critical echo state networks where individual transfer functions for every neuron can be modified to anticipate the expected next input.…

cs.NE2016★ 3 cited

Orthogonal Echo State Networks and stochastic evaluations of likelihoods

Norbert Michael Mayer, Ying-Hao Yu

We report about probabilistic likelihood estimates that are performed on time series using an echo state network with orthogonal recurrent connectivity. The results from tests usin…

cs.NE2014★ 8 cited

Echo State Condition at the Critical Point

Norbert Michael Mayer

Recurrent networks with transfer functions that fulfill the Lipschitz continuity with K=1 may be echo state networks if certain limitations on the recurrent connectivity are applie…

cs.NE2014

Input anticipating critical reservoirs show power law forgetting of unexpected input events

Norbert Michael Mayer

Usually, reservoir computing shows an exponential memory decay. This paper investigates under which circumstances echo state networks can show a power law forgetting. That means tr…

q-bio.PE2014

Aging as a mean to retain an adaptive mutation rate in mutagenesis with asymmetric reproduction

Norbert Michael Mayer

The paper discusses a connection between asymmetric reproduction -- that is reproduction in a parent-child relationship where the parent does not mutate during reproduction --, the…