93 documents found, page 1 of 10
Robust working memory in a two-dimensional continuous attractor network
Wojtak, Weronika; Coombes, Stephen; Avitabile, Daniele; Bicho, Estela; Erlhagen, WolframContinuous bump attractor networks (CANs) have been widely used in the past to explain the phenomenology of working memory (WM) tasks in which continuous-valued information has to be maintained to guide future behavior. Standard CAN models suffer from two major limitations: the stereotyped shape of the bump attractor does not reflect differences in the representational quality of WM items and the recurrent conn...
Solving neural field equations using physics informed neural networks
Wojtak, Weronika; Bicho, Estela; Erlhagen, WolframThis article presents an approach for solving neural field equations (NFEs) using Physics Informed Neural Networks (PINNs). NFEs are integro-differential equations describing the spatio-temporal dynamics of neuronal populations in the cortex. The traditional numerical methods for NFEs require significant computational effort due to the discretization of the spatial convolution. The proposed approach leverages F...
Adaptive timing in a dynamic field architecture for natural human–robot interac...
Wojtak, Weronika; Ferreira, Flora José Rocha; Louro, Luís; Bicho, Estela; Erlhagen, WolframA close temporal coordination of actions and goals is crucial for natural and fluent human–robot interactions in collaborative tasks. How to endow an autonomous robot with a basic temporal cognition capacity is an open question. In this paper, we present a neurodynamics approach based on the theoretical framework of dynamic neural fields (DNF) which assumes that timing processes are closely integrated with othe...
Impact of variable transformations on multiple regression models for enhancing ...
Ferreira, Flora; Barrios, Jhonathan; Barbosa, Paulo; Gago, Miguel F.; Bicho, Estela; Erlhagen, WolframGait analysis has become an important tool in clinical practice for monitoring disease progression and evaluating therapeutic interventions. However, a subject's gait characteristics can be affected by physical characteristics such as age and height, which can interfere with accurate comparisons between subjects. MLR normalization has been shown to be effective in reducing interference from subject-specific phy...
Navigation and docking maneuvers control of an autonomous omnidirectional platf...
Correia, João; Louro, Luís; Monteiro, Sérgio; Erlhagen, Wolfram; Bicho, EstelaThis paper presents a method to control and generate motion for omnidirectional mobile manipulators that operate in internal logistics scenarios. It proposes transport and maneuvering operations where human operators may coexist. Thus, to ensure that human operators can easily infer the vehicle's movements, the vehicle preferentially performs non-holonomic (i.e., like a differential drive vehicle), and only tak...
A data recording mobile application to create datasets of vehicle users’ routines
Guimarães, Pedro; Ferreira, Flora; Silva, Ana Carolina; Erlhagen, Wolfram; Monteiro, Sérgio; Bicho, EstelaOne of today's automotive research focus is the development of vehicles for the future, with their own intelligence, aware of their occupants, able to give support to its users, striving for natural and efficient interaction, and giving rise to the concept of the cognitive vehicle. Furthermore, truly adaptive intelligence can be achieved with assistance systems capable of adapting to different drivers. Vehicles...
Numerical solution of the stochastic neural field equation with applications to...
Lima, P. M.; Erlhagen, Wolfram; Kulikova, M.V.; Kulikov, G.Yu.The main goal of the present work is to investigate the effect of noise in some neural fields, used to simulate working memory processes. The underlying mathematical model is a stochastic integro-differential equation. In order to approximate this equation we apply a numerical scheme which uses the Galerkin method for the space discretization. In this way we obtain a system of stochastic differential equations,...
Statistical analysis on the human-likeness of 3D reaching movements in humanoid...
Silva, Eliana Costa e; Gulletta, Gianpaolo; Bicho, Estela; Erlhagen, WolframHuman-like motion is often considered a key feature for intuitive human-robot interactions. In fact, this feature allows human peers to easily predict the robot's intention, which is perfectly aligned with the paradigm of collaborative industries, contributing to more human-centric and resilient industries. The one-sixth power law (1/6-PL) is well known in human motor control. In this work, the Human-like Upper...
Endowing intelligent vehicles with the ability to learn user’s habits and prefe...
Barbosa, Paulo; Ferreira, Flora; Fernandes, Carlos; Erlhagen, Wolfram; Guimarães, Pedro; Wojtak, Weronika; Monteiro, Sérgio; Bicho, EstelaA private vehicle frequently carries the same passengers who routinely take specific objects with them, have their vehicle comfort preferences, and visit the same places at relatively the same time of a given day or day of the week. Thus, developing intelligent vehicles that are able to reduce the cognitive workload of the drivers by learning and adapting to their occupants’ routines is of the highest interest....
Brain-inspired multiple-target tracking using dynamic neural fields
Kamkar, Shiva; Abrishami Moghaddam, Hamid; Lashgari, Reza; Erlhagen, WolframDespite considerable progress in the field of automatic multi-target tracking, several problems such as data association remained challenging. On the other hand, cognitive studies have reported that humans can robustly track several objects simultaneously. Such circumstances happen regularly in daily life, and humans have evolved to handle the associated problems. Accordingly, using brain-inspired processing pr...