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Spatial Learning

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Selection-for-action emerges in neural networks trained to learn spatial associations between stimuli and actions.

Cognitive processing
The objects present in our environment evoke multiple conflicting actions at every moment. Thus, a mechanism that resolves this conflict is needed in order to avoid the production of chaotic ineffective behaviours. A plausible candidate for such role...

Using robots to understand animal cognition.

Journal of the experimental analysis of behavior
In recent years, robotic animals and humans have been used to answer a variety of questions related to behavior. In the case of animal behavior, these efforts have largely been in the field of behavioral ecology. They have proved to be a useful tool ...

Evaluation of a mixed controller that amplifies spatial errors while reducing timing errors.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Previous results suggest that haptic guidance enhances learning of the timing components of motor tasks, whereas error amplification is better for learning the spatial components. In this paper we evaluate a novel mixed guidance controller that combi...

A new rat-compatible robotic framework for spatial navigation behavioral experiments.

Journal of neuroscience methods
BACKGROUND: Understanding the neural substrate of information encoding and processing requires a precise control of the animal's behavior. Most of what has been learned from the rodent navigational system results from relatively simple tasks in which...

A neural network model for the orbitofrontal cortex and task space acquisition during reinforcement learning.

PLoS computational biology
Reinforcement learning has been widely used in explaining animal behavior. In reinforcement learning, the agent learns the value of the states in the task, collectively constituting the task state space, and uses the knowledge to choose actions and a...

Can Deep Learning Model Perceptual Learning?

The Journal of neuroscience : the official journal of the Society for Neuroscience