The Stimulus-Response (S-R) theory and Tolman’s Cognitive Theory of behavior control both issued from behaviorism in the early XXth century still provide a relevant general framework to account for animal reward-based adaptive behavior. In this paper, we propose a new paradigm for representing and implementing both the cognitive strategy and the S-R habit strategy within a unitary coding frame. Based on a parallel learning of both strategies, the model explains how the fast learning cognitive strategy can supervise and accelerate the slow learning S-R habit strategy. This parallel representation is inspired by the cortico-basal functional loops [Alexander et. al., 1986] and the cooperation between the cognitive associative loop, including t...
Spatial navigation can serve as a model system in cognitive neuroscience, in which specific neural r...
While the neurobiology of simple and habitual choices is relatively well known, our current understa...
We present a computational model of spatial navigation comprising different learning mechanisms in m...
Cognitive Science is at a crossroad. Since its inception, the prevailing paradigm in Cognitive Scien...
University of Minnesota Ph.D. dissertation. June 2008. Major: Neuroscience. Advisor: A. David Redish...
International audienceThe hypothesis of multiple memory systems involved in different learning of na...
Abstract. Researches in psychology and neuroscience have identified multiple decision systems in mam...
International audienceIn this article, we describe a new computational model of switching between pa...
International audienceIn contrast to predictions derived from the associative learning theory, a num...
Rodents have been widely studied for their adaptive navigation capabilities. They are able to exhibi...
<p>To behave adaptively, we must learn from the consequences of our actions. Doing so is difficult w...
Neurophysiological studies have shown that the hippocampus, striatum, and prefrontal cortex play dif...
We develop a method for selecting meaningful learning strategies based solely on the behavioral data...
The original publication is available at www.springerlink.com Abstract. In this paper we present a m...
We present a computational model of spatial navigation comprising different learning mechanisms in m...
Spatial navigation can serve as a model system in cognitive neuroscience, in which specific neural r...
While the neurobiology of simple and habitual choices is relatively well known, our current understa...
We present a computational model of spatial navigation comprising different learning mechanisms in m...
Cognitive Science is at a crossroad. Since its inception, the prevailing paradigm in Cognitive Scien...
University of Minnesota Ph.D. dissertation. June 2008. Major: Neuroscience. Advisor: A. David Redish...
International audienceThe hypothesis of multiple memory systems involved in different learning of na...
Abstract. Researches in psychology and neuroscience have identified multiple decision systems in mam...
International audienceIn this article, we describe a new computational model of switching between pa...
International audienceIn contrast to predictions derived from the associative learning theory, a num...
Rodents have been widely studied for their adaptive navigation capabilities. They are able to exhibi...
<p>To behave adaptively, we must learn from the consequences of our actions. Doing so is difficult w...
Neurophysiological studies have shown that the hippocampus, striatum, and prefrontal cortex play dif...
We develop a method for selecting meaningful learning strategies based solely on the behavioral data...
The original publication is available at www.springerlink.com Abstract. In this paper we present a m...
We present a computational model of spatial navigation comprising different learning mechanisms in m...
Spatial navigation can serve as a model system in cognitive neuroscience, in which specific neural r...
While the neurobiology of simple and habitual choices is relatively well known, our current understa...
We present a computational model of spatial navigation comprising different learning mechanisms in m...