A computational principle for hippocampal learning and neurogenesis
By Suzanna Becker. 2005
267 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Developmental Neuroscience
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Fred H. Gage
- James Bradley Aimone
- Wei Deng
- Spyridon Chavlis
- Panayiota Poirazi
- Hongjun Song
- Dharshan Kumaran
- H. Scharfman
In Cognitive Neuroscience
- Fred H. Gage
- James Bradley Aimone
- Wei Deng
- Spyridon Chavlis
- Panayiota Poirazi
- Neil Burgess
- James L. McClelland
- Dharshan Kumaran
In Developmental Neuroscience
- Fred H. Gage
- James Bradley Aimone
- Wei Deng
- Hongjun Song
- Panayiota Poirazi
- Spyridon Chavlis
- Guo-li Ming
- E. Gould
Citations in the corpus
- Generalization Through the Recurrent Interaction of Episodic Memories (2012, background): “…evidence points to a role in enhancing the orthogonalization capabilities of the DG, given that its disruption produces a specific impairment in paradigms where pattern separation demands are high (Becker, 2005; Clelland et al., 2009; Deng et al., 2010; Kempermann, 2002; Nakashiba et al., 2012).”
- New neurons and new memories: how does adult hippocampal neurogenesis affect learning and memory? (2010, neutral): “In contrast to the abstract networks in these replacement models, the replacement model described by Becke”
- Computational influence of adult neurogenesis on memory encoding. (2009, unknown): “For example, our results showing that FEs attain dimensional independence due to thematuration process are similar to the hypotheses put forth by two previous computational studies that suggested that new neurons protect old memories by increasing the capacity available for encoding new memories (Be”
- Pattern separation, completion, and categorisation in the hippocampus and neocortex. (2016, background): “Neurogenesis of dentate granule cells to provide new representations in CA3 uncorrelated with previous CA3 representations If adult neurogenesis in the dentate gyrus does prove to be functionally relevant, its computational role could be to facilitate pattern separation for new patterns, by providin”
- Resolving new memories: a critical look at the dentate gyrus, adult neurogenesis, and pattern separation (2011, background): “For instance, in models of the full hippocampal loop (EC/DG/CA3/CA1/EC), the presence of neurogenesis, either by replacement (Becker, 2005) or addition (Weisz and Argibay, 2009), has been shown to improve the whole network’s ability to store and recall information.”
- Modeling new neuron function: a history of using computational neuroscience to study adult neurogenesis (2011, background): “Each of these models assumes a role in memory encoding, and while this can affect subsequent retrieval (Becker, 2005; Weisz & Argibay, 2009), the retrieval process itself does not directly involve the DG. (In contrast, the somewhat different picture of neurogenesis presented by the abstract models…”
- Mechanisms and functional implications of adult neurogenesis. (2008, unknown): “Becker (2005) modeled neurogenesis in the dentate gyrus in a more complicated network system simulating the entire hippocampus and found that the constant neuron turnover through neurogenesis helps to create distinct memory traces for highly similar patterns.”
- A Role for Hilar Cells in Pattern Separation in the Dentate Gyrus: A Computational Approach (2009, background): “…recent models have suggested that addition of newly born neurons to a network can increase storage capacity, while avoiding storage problems that can occur when a network attempts to store too many similar patterns (e.g., Derrick et al., 2000; Becker, 2005; Butz et al., 2006; Wiskott et al., 2006).”
- A putative role for neurogenesis in neuro-computational terms: inferences from a hippocampal model. (2009, unknown): “…for the hippocampus to adapt to new environmental requests, allowing it to cope in the face of novelty and a growing volume of information (Becker, 2005; Chambers & Conroy, 2007; Chambers, Potenza, Hoffman, & Miranker, 2004; Deisseroth et al., 2004; Meltzer et al., 2005; Wiskott et al.,…”
- Adult neurogenesis and functional plasticity in neuronal circuits (2006, background): “Similarly, neuronal turnover in the dentate gyrus layer of a simulated hippocampal network improves the recall of information by minimizing interference between similar stored item”
- Remembering the past and imagining the future (2007, background): “…in spatial memory, this structure is also known to be important in the maintenance of more general episodic memories (for recent reviews, see, e.g., Becker, 2005; Burgess et al., 2002; Eichenbaum, 2001; for models see Howard et al., 2005; Marr, 1971; McClelland, McNaughton, & O’Reilly, 1995;…”
- Pattern Separation in the Dentate Gyrus: A Role for the CA3 Backprojection (2010, methodology): “Obviously, the current results do not rule out other possible mechanisms by which pattern separation and pattern storage and completion might also be improved in the hippocampus, for example by considering a possible role for adult neurogenesis in the DG (Becker, 2005).”