Simulated Apoptosis/Neurogenesis Regulates Learning and Memory Capabilities of Adaptive Neural Networks

By R. Chambers, M. N. Potenza, R. Hoffman, Willard L. Miranker. 2004

165 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Developmental Neuroscience

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Citations in the corpus

Modeling new neuron function: a history of using computational neuroscience to study adult neurogenesis (2011, methodology): “, 2006), decreased flexibility in acquiring new information (Chambers et al., 2004; Deisseroth et al., 2004; Weisz & Argibay, 2009), a qualitatively different way the memories were encoded (Aimone et al.”
Mechanisms and functional implications of adult neurogenesis. (2008, unknown): “Using a simple three-layered network, Deisseroth et al. (2004) and Chambers et al. (2004) found that neurogenesis elicited a more rapid clearance of old memory and enhanced the recall fidelity of new memories.”
Stress, Depression, and Neuroplasticity: A Convergence of Mechanisms (2008, background): “Some computational theories of hippocampal function predict a role for new neurons in hippocampus-dependent learning (Chambers et al, 2004).”
Apoptosis, neurogenesis, and information content in Hebbian networks (2005, methodology): “In Chambers et al. (2004), computer simulations were used to study the possibility that replacing neurons could favorably impact cognition as well as a variety of other brain functions informed by hippocampal activity (e.g., short- and long-term memory formation, adaptations to sex and stress…”
Adult Neurogenesis in the Hippocampus: From Stem Cells to Behavior. (2016, unknown): “These include encoding of temporal information into memories (Aimone et al., 2006; Becker and Wojtowicz, 2007), avoidance of memory interference and cognitive flexibility during learning of new tasks (Chambers et al., 2004), and balancing pattern separation/integration (Aimone et al., 2009).”