There is great interest in how pattern separation and pattern completion in the hippocampus contribute to its functions in memory and spatial function (Giocomo et al. 2011; Jezek et al. 2011; Leutgeb et al. 2007; McHugh et al. 2007; Nakashiba et al. 2012; Nakazawa et al. 2002, 2003; Wills et al. 2005), and among those who have made many contributions in this area are Ray Kesner and his colleagues (Hunsaker and Kesner 2008, 2013; Kesner 2007, 2013; Kesner et al. 2012; Rolls and Kesner 2006). This chapter describes some of the different types of pattern separation and pattern completion in the hippocampal system, and the mechanisms that implement them. More comprehensive descriptions of my theory of hippocampal function, and of differenc...
neural network model of recognition memory (Norman and O’Reilly (2003) Psychol Rev 104:611–646) can ...
A quantitative computational theory of the operation of the hippocampus as an episodic memory system...
The hippocampal formation has been implicated in both learning and generalization. The large variety...
The mechanisms for pattern completion and pattern separation are described in the context of a theor...
The mechanisms for pattern completion and pattern separation are described in the context of a theor...
Pattern separation is a mnemonic process extensively studied over the years. It primarily entails hi...
AbstractComputational models based on hippocampal connectivity have proposed that CA3 is uniquely po...
The elements of episodic events, represented in neocortex, are thought to be bound into ‘event engra...
The hippocampus receives input from upper levels of the association cortex and is implicated in many...
Human functional magnetic resonance imaging (fMRI) studies have long investigated the hippocampus wi...
International audiencePattern separation is a fundamental hippocampal process thought to be critical...
The multiple elements of episodic events, represented in distinct neocortical regions, are thought t...
SummaryTheories of associative memory suggest that successful memory storage and recall depend on a ...
A quantitative computational theory of the operation of the CA3 system as an attractor or autoassoci...
Recent research suggests that the specificity and precision in long-term declarative memory depend o...
neural network model of recognition memory (Norman and O’Reilly (2003) Psychol Rev 104:611–646) can ...
A quantitative computational theory of the operation of the hippocampus as an episodic memory system...
The hippocampal formation has been implicated in both learning and generalization. The large variety...
The mechanisms for pattern completion and pattern separation are described in the context of a theor...
The mechanisms for pattern completion and pattern separation are described in the context of a theor...
Pattern separation is a mnemonic process extensively studied over the years. It primarily entails hi...
AbstractComputational models based on hippocampal connectivity have proposed that CA3 is uniquely po...
The elements of episodic events, represented in neocortex, are thought to be bound into ‘event engra...
The hippocampus receives input from upper levels of the association cortex and is implicated in many...
Human functional magnetic resonance imaging (fMRI) studies have long investigated the hippocampus wi...
International audiencePattern separation is a fundamental hippocampal process thought to be critical...
The multiple elements of episodic events, represented in distinct neocortical regions, are thought t...
SummaryTheories of associative memory suggest that successful memory storage and recall depend on a ...
A quantitative computational theory of the operation of the CA3 system as an attractor or autoassoci...
Recent research suggests that the specificity and precision in long-term declarative memory depend o...
neural network model of recognition memory (Norman and O’Reilly (2003) Psychol Rev 104:611–646) can ...
A quantitative computational theory of the operation of the hippocampus as an episodic memory system...
The hippocampal formation has been implicated in both learning and generalization. The large variety...