Place Learning and the Dynamics of Spatial Navigation: A Neural Network Approach

No abstract is available for this paper.

• Publication year

  1993

• Venue

  Adaptive Behavior

• Publication date

  1993-01-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1177/105971239300100304
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Stimulus configuration, classical conditioning, and hippocampal function.

  1992cited by this paper
• Latent learning in a Swimming Pool Place Task by Rats: Evidence for the use of Associative and not Cognitive Mapping Processes

  1991cited by this paper
• Role of the hippocampus in temporal and spatial navigation: an adaptive neural network.

  1990cited by this paper
• Adaptive switching circuits

  1988cited by this paper
• The kinematics of locomotion toward a goal.

  1987cited by this paper
• Biologically Plausible Models of Place Recognition and Goal Location

  1987cited by this paper
• A computer simulation model of rats’ place navigation in the Morris water maze

  1987cited by this paper
• A computational model of hippocampal place fields.

  1985cited by this paper
• Selective hippocampal lesions and behavior: effects of kainic acid lesions on performance of place and cue tasks.

  1983cited by this paper
• Spatial Localization Does Not Require the Presence of Local Cues

  1981cited by this paper
• Toward a modern theory of adaptive networks: expectation and prediction.

  1981cited by this paper
• Fundamentals of sensation and perception

  1981cited by this paper
• A model for Pavlovian learning: variations in the effectiveness of conditioned but not of unconditioned stimuli.

  1980cited by this paper
• The psychology of animal learning

  1974cited by this paper
• A theory of Pavlovian conditioning : Variations in the effectiveness of reinforcement and nonreinforcement

  1972cited by this paper
• Partial reinforcement effects within subject and between subjects.

  1966influential reference
• Effects of amount and percentage of reinforcement and number of acquisition trials on conditioning and extinction.

  1961cited by this paper
• Cognitive maps in rats and men.

  1948influential reference
• The generalization of approach responses as a function of stimulus intensity and strength of motivation.

  1942influential reference
• A Dynamic Theory of Personality

  1936cited by this paper
• Goal gradient or entrance gradient

  1935cited by this paper
• The goal-gradient hypothesis and maze learning.

  1932cited by this paper

• Evolutionary Robotics

  2016cites this paper
• How does the brain solve the computational problems of spatial navigation

  2014cites this paper
• 4-2-1997 Spatial Learning for Robot Locialization

  2014cites this paper
• Navigation in Familiar Environments by the Weakly Electric Elephantnose Fish, Gnathonemus petersii L. (Mormyriformes, Teleostei)

  2010cites this paper
• Evolution of Adaptive Behaviour in Robots by Means of Darwinian Selection

  2010cites this paper
• Sensitivity to initial conditions in the route-finder model.

  2008cites this paper
• Connectionism and Classical Conditioning

  2008cites this paper
• Building grounded symbols for localization using motivations

  2007cites this paper
• Chapter 61: Evolutionary Robotics

  2007cites this paper
• Transition Cells for Navigation and Planning in an Unknown Environment

  2006cites this paper
• Dynamical neural networks for planning and low-level robot control

  2003cites this paper
• BEYOND TRIAL-AND-ERROR IN A SELECTIONIST PSYCHOLOGY

  2002cites this paper
• Latent learning, shortcuts and detours: a computational model.

  2002cites this paper
• Learning and motivational couplings promote smarter behaviors of an animat in an unknown world

  2002cites this paper
• Planning with neural networks and reinforcement learning

  2001cites this paper
• Competitive Hebbian learning and the hippocampal place cell system: Modeling the interaction of visual and path integration cues

  2001cites this paper
• Navigation: animals as autonomous robots

  2000cites this paper
• An Architecture for Learning "Potential Field" Cognitive Maps with an Application to Mobile Robotics

  2000cites this paper
• Exploration, Navigation and Cognitive Mapping

  2000cites this paper
• Spatial Learning and Localization in Rodents: A Computational Model of the Hippocampus and its Implications for Mobile Robots

  1999cites this paper
• Towards a Computational Theory of Rat Navigation

  1999cites this paper
• Autonomous Search for Information in an Unknown Environment

  1999cites this paper
• Neural Representation of Space in Rats and Robots

  1999cites this paper
• A Planning Map for Mobile Robots: Speed Control and Paths Finding in a Changing Environment

  1999cites this paper
• Diffusion-based guidance system for autonomous agents

  1998cites this paper
• A Dynamic Route Finder for the Cognitive Map

  1998cites this paper
• Affordances. Motivations, and the World Graph Theory

  1998cites this paper
• Automomous Search in Complex Spaces

  1998cites this paper
• An architecture for building "potential field" cognitive maps in mobile robot navigation

  1998cites this paper
• Spatial learning with perceptually grounded representations

  1997influential citation
• Spatial Learning for Robot Localization Spatial Learning for Robot Localization

  1997cites this paper
• Autonomous search for mines

  1997cites this paper
• From earwigs to humans

  1997cites this paper
• Autonomous search by robots and animals: A survey

  1997cites this paper
• Old tricks, new dogs: ethology and interactive creatures

  1997cites this paper
• A topological map based navigation system for mobile robotics

  1997cites this paper
• Spatial Learning and Localization in Animals : A Computational Model and Its Implications for Mobile Robots

  1997cites this paper
• Navigating with landmarks: computing goal locations from places codes

  1997cites this paper
• Spatial Learning for Robot Locialization

  1997cites this paper
• Theory of rodent navigation based on interacting representations of space

  1996cites this paper
• The hippocampus as a cognitive graph

  1996cites this paper
• The psychology of robots

  1996cites this paper
• A model for place navigation in mammals

  1995cites this paper
• Natural Intelligence in Artificial Creatures

  1995cites this paper
• Lawrence Erlbaum Associates , pp . 11-19 , 1994 Towards a Computational Theory of Rat Navigation

  1994cites this paper
• A robot with autonomous spatial learning: a project overview

  1994cites this paper
• BIOLOGICAL LEARNING AND ARTIFICIAL INTELLIGENCE

  1994cites this paper
• Mobile robot visual mapping and localization: A view-based neurocomputational architecture that emulates hippocampal place learning

  1994cites this paper
• NATURAL INTELLIGENCE FOR AUTONOMOUS AGENTS

  1993cites this paper
• Stimulus configuration, spatial learning, and hippocampal function.

  1993cites this paper
• Maps, routes, and the hippocampus: A neural network approach

  1993cites this paper