Neural networks for mobile robot navigation: a survey

AM Zou, ZG Hou, SY Fu, M Tan - Advances in Neural Networks-ISNN 2006 …, 2006 - Springer
Nowadays, mobile robots have attracted more and more attention from researchers due to
their extensive applications. Mobile robots need to have the capabilities of autonomy and …

Neural dynamics of autistic behaviors: cognitive, emotional, and timing substrates.

S Grossberg, D Seidman - Psychological review, 2006 - psycnet.apa.org
What brain mechanisms underlie autism, and how do they give rise to autistic behavioral
symptoms? This article describes a neural model, called the Imbalanced Spectrally Timed …

Application of biological learning theories to mobile robot avoidance and approach behaviors

C Chang, P Gaudiano - Advances in Complex Systems, 1998 - World Scientific
We present a neural network that learns to control approach and avoidance behaviors in a
mobile robot based on a form of animal learning known as operant conditioning. Learning …

A generalized neural network approach to mobile robot navigation and obstacle avoidance

SH Dezfoulian, D Wu, IS Ahmad - … Systems 12: Volume 1 Proceedings of …, 2013 - Springer
Navigation is one of the most important problems in developing and designing intelligent
mobile robots. To locally navigate and autonomously plan a path to arrive to a desired …

A neural model of normal and abnormal learning and memory consolidation: adaptively timed conditioning, hippocampus, amnesia, neurotrophins, and …

DJ Franklin, S Grossberg - Cognitive, Affective, & Behavioral Neuroscience, 2017 - Springer
How do the hippocampus and amygdala interact with thalamocortical systems to regulate
cognitive and cognitive-emotional learning? Why do lesions of thalamus, amygdala …

A novel machine learning method based on generalized behavioral learning theory

ÖF Ertuğrul, ME Tağluk - Neural Computing and applications, 2017 - Springer
Learning is an important talent for understanding the nature and accordingly controlling
behavioral characteristics. Behavioral learning theories are one of the popular learning …

Operant conditioning: a minimal components requirement in artificial spiking neurons designed for bio-inspired robot's controller

A Cyr, M Boukadoum, F Thériault - Frontiers in neurorobotics, 2014 - frontiersin.org
In this paper, we investigate the operant conditioning (OC) learning process within a bio-
inspired paradigm, using artificial spiking neural networks (ASNN) to act as robot brain …

Neural models of normal and abnormal behavior: what do schizophrenia, parkinsonism, attention deficit disorder, and depression have in common?

S Grossberg - Progress in brain research, 1999 - Elsevier
Publisher Summary This chapter discusses how some key symptoms of schizophrenia,
Parlunson's disease, attention deficit disorder, and depression can be caused as emergent …

A novel EEG feature extraction method based on OEMD and CSP algorithm

L Mingai, G Shuoda, Y Jinfu… - Journal of Intelligent & …, 2016 - content.iospress.com
Abstract The Common Spatial Pattern (CSP) algorithm is known to be effective in extracting
discriminative features from Motor Imagery electroencephalograms (MI-EEG). However, its …

Bioinspired Control Architecture for Adaptive and Resilient Navigation of Unmanned Underwater Vehicle in Monitoring Missions of Submerged Aquatic Vegetation …

F García-Córdova, A Guerrero-González… - Biomimetics, 2024 - mdpi.com
Submerged aquatic vegetation plays a fundamental role as a habitat for the biodiversity of
marine species. To carry out the research and monitoring of submerged aquatic vegetation …