Neural Fields

doi:10.1007/978-3-642-54593-1

Cited by 97 publications

(16 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It may for instance represent a request gesture signaling to the robot that the operator awaits the next pipe [19]. The additional input either increases the baseline activity h d0 or the slope of the linear ramp-to-threshold dynamics (15). Since in modern assembly manufacturing the ordering of activities is often left to the discretion of the operator, the robot should also be able to adapt to changes in serial order of task execution [62].…”

Section: Results -Sequence Learning and Planningmentioning

confidence: 99%

“…For a more detailed tutorial in the context of robotics applications see [18]. A recent overview of analytical and numerical tools for DNFs can be found in [15]. Amari's approach is based on the assumption that for the choice of the Heaviside step function (5), the pattern formation process can be understood by analyzing the evolution equations of the bump boundaries.…”

Section: Choosing Parameter Valuesmentioning

confidence: 99%

“…The net effect of the inputs to u d at the beginning of each trial is a preshaping of the neural subpopulations encoding locations A and B. It sets on a trial-by-trial basis the initial condition for the bump formation which is initiated by the ramp-to-threshold dynamics (15). An open question is how many past trials should inform the current decision.…”

Section: Model Architecturementioning

confidence: 99%

See 2 more Smart Citations

A neural integrator model for planning and value-based decision making of a robotics assistant

Wojtak

Ferreira

Vicente

et al. 2020

Neural Comput & Applic

View full text Add to dashboard Cite

Modern manufacturing and assembly environments are characterized by a high variability in the built process which challenges human-robot cooperation. To reduce the cognitive workload of the operator, the robot should not only be able to learn from experience but also to plan and decide autonomously. Here, we present an approach based on Dynamic Neural Fields that applies brain-like computations to endow a robot with these cognitive functions. A neural integrator is used to model the gradual accumulation of sensory and other evidence as time-varying persistent activity of neural populations. The decision to act is modeled by a competitive dynamics between neural populations linked to different motor behaviors. They receive the persistent activation pattern of the integrators as input. In the first experiment, a robot learns rapidly by observation the sequential order of object transfers between an assistant and an operator to subsequently substitute the assistant in the joint task. The results show that the robot is able to proactively plan the series of handovers in the correct order. In the second experiment, a mobile robot searches at two different workbenches for a specific object to deliver it to an operator. The object may appear at the two locations in a certain time period with independent probabilities unknown to the robot. The trial-by-trial decision under uncertainty is biased by the accumulated evidence of past successes and choices. The choice behavior over

show abstract

Section: Results -Sequence Learning and Planningmentioning

confidence: 99%

Section: Choosing Parameter Valuesmentioning

confidence: 99%

Section: Model Architecturementioning

confidence: 99%

See 1 more Smart Citation

A neural integrator model for planning and value-based decision making of a robotics assistant

Wojtak

Ferreira

Vicente

et al. 2020

Neural Comput & Applic

View full text Add to dashboard Cite

show abstract

“…A second remark is that TWs have been described and modeled for years. Indeed, modeling TW in precise mathematical terms is not new (Amari 1977;Jirsa and Haken 1996;Robinson et al 1997;Deco et al 2008;Coombes et al 2014;Senk et al 2018). There is a large body of evidence showing that integro-differential reaction-diffusion equations can be used to model the propagation of waves across the cortex (Wilson and Cowan 1973;Ermentrout and McLeod 1993;Atasoy et al 2016).…”

Section: Functional Role and Dynamics Of Cortical Twmentioning

confidence: 99%

Cortical stimulation in aphasia following ischemic stroke: toward model-guided electrical neuromodulation

et al. 2020

View full text Add to dashboard Cite

Your article is protected by copyright and all rights are held exclusively by Springer-Verlag GmbH Germany, part of Springer Nature. This e-offprint is for personal use only and shall not be self-archived in electronic repositories. If you wish to self-archive your article, please use the accepted manuscript version for posting on your own website. You may further deposit the accepted manuscript version in any repository, provided it is only made publicly available 12 months after official publication or later and provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at link.springer.com".

show abstract

“…They are tissue level models that describe the spatio-temporal evolution of coarse grained variables such as synaptic or firing rate activity in populations of neurons. See Coombes et al [4] and the literature therein. A particularly influential model is that proposed by S. Amari in [1] (see also Chapter 3 of Coombes et al [4] by Amari):…”

mentioning

confidence: 99%

Asymptotic behaviour of a neural field lattice model with delays

Wang

Kloeden

Yang

2020

era

View full text Add to dashboard Cite

The asymptotic behaviour of an autonomous neural field lattice system with delays is investigated. It is based on the Amari model, but with the Heaviside function in the interaction term replaced by a sigmoidal function. First, the lattice system is reformulated as an infinite dimensional ordinary delay differential equation on weighted sequence state space 2 ρ under some appropriate assumptions. Then the global existence and uniqueness of its solution and its formulation as a semi-dynamical system on a suitable function space are established. Finally, the asymptotic behaviour of solution of the system is investigated, in particular, the existence of a global attractor is obtained.

show abstract

Neural Fields

Cited by 97 publications

References 24 publications

A neural integrator model for planning and value-based decision making of a robotics assistant

A neural integrator model for planning and value-based decision making of a robotics assistant

Cortical stimulation in aphasia following ischemic stroke: toward model-guided electrical neuromodulation

Asymptotic behaviour of a neural field lattice model with delays

Contact Info

Product

Resources

About