[HTML][HTML] The well-worn route and the path less traveled: distinct neural bases of route following and wayfinding in humans
Finding one's way in a large-scale environment may engage different cognitive processes
than following a familiar route. The neural bases of these processes were investigated using …
than following a familiar route. The neural bases of these processes were investigated using …
Goal-directed decision making as probabilistic inference: a computational framework and potential neural correlates.
A Solway, MM Botvinick - Psychological review, 2012 - psycnet.apa.org
Recent work has given rise to the view that reward-based decision making is governed by
two key controllers: a habit system, which stores stimulus–response associations shaped by …
two key controllers: a habit system, which stores stimulus–response associations shaped by …
From view cells and place cells to cognitive map learning: processing stages of the hippocampal system
The goal of this paper is to propose a model of the hippocampal system that reconciles the
presence of neurons that look like “place cells” with the implication of the hippocampus (Hs) …
presence of neurons that look like “place cells” with the implication of the hippocampus (Hs) …
Neurobiologically inspired mobile robot navigation and planning
After a short review of biologically inspired navigation architectures, mainly relying on
modeling the hippocampal anatomy, or at least some of its functions, we present a …
modeling the hippocampal anatomy, or at least some of its functions, we present a …
The dynamic wave expansion neural network model for robot motion planning in time-varying environments
We introduce a new type of neural network—the dynamic wave expansion neural network
(DWENN)—for path generation in a dynamic environment for both mobile robots and robotic …
(DWENN)—for path generation in a dynamic environment for both mobile robots and robotic …
Dynamical neural networks for planning and low-level robot control
We use dynamical neural networks based on the neural field formalism for the control of a
mobile robot. The robot navigates in an open environment and is able to plan a path for …
mobile robot. The robot navigates in an open environment and is able to plan a path for …
Dynamic path planning for a 7-DOF robot arm
We present an on-line, robust, and efficient path planner for the redundant Mitsubishi PA-10
arm with 7 degrees of freedom (DOF) in non-stationary environments. Because of the …
arm with 7 degrees of freedom (DOF) in non-stationary environments. Because of the …
Neuro-fuzzy motion planning for robotic manipulators
K Althoefer - 1997 - qmro.qmul.ac.uk
On-going research efforts in robotics aim at providing mechanical systems, such as robotic
manipulators and mobile robots, with more intelligence so that they can operate …
manipulators and mobile robots, with more intelligence so that they can operate …
Physical maze solvers. All twelve prototypes implement 1961 Lee algorithm
A Adamatzky - Emergent computation: A festschrift for Selim G. Akl, 2017 - Springer
We overview experimental laboratory prototypes of maze solvers. We speculate that all
maze solvers implement Lee algorithm by first develo** a gradient of values showing a …
maze solvers implement Lee algorithm by first develo** a gradient of values showing a …
A neuromorphic model of spatial lookahead planning
In order to create spatial plans in a complex and changing world, organisms need to rapidly
adapt to novel configurations of obstacles that impede simple routes to goal acquisition …
adapt to novel configurations of obstacles that impede simple routes to goal acquisition …