Abstract
Adult neurogenesis is the incorporation of new neurons into established, functioning neural circuits. Current theoretical work in the neurogenesis field has suggested that new neurons are of greatest importance in the encoding of new memories, particularly in the ability to fully capture features which are entirely novel or being experienced in a unique way. We present two models of neurogenesis (a spiking, biologically realistic model as well as a basic growing feedforward model) to investigate possible functional implications. We use an information theoretic computational complexity measure to quantitatively analyze the information content encoded with and without neurogenesis in our spiking model. And neural encoding capacity (as a function of neuron maturation) is examined in our simple feedforward network. Finally, we discuss potential functional implications for neurogenesis in high risk environments.
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Aimone, J.B., Jessberger, S., Gage, F.H.: Adult Neurogenesis. Scholarpedia 2(2) (2100)
Eichenbaum, H.: The Hippocampus and Declarative Memory: Cognitive Mechanisms and Neural Codes. Behavioural Brain Research, 199–207 (2001)
Suzuki, W., Eichenbaum, H.: The Neurophysiology of Memory. Annals of the NY Academy of Sciences, 175–191 (2000)
Andersen, P., Morris, R., Amaral, D., Bliss, T., O’Keefe, J. (eds.): The Hippocampus Book. Oxford University Press, USA (2006)
O’Reilly, R.C., McClelland, J.L.: Hippocampal Conjunctive Encoding, Storage, and Recall: Avoiding a Trade-Off. Hippocampus 4(6), 661–682 (1994)
Aimone, J.B., Deng, W., Gage, F.H.: Resolving New Memories: A Critical Look at the Dentate Gyrus, Adult Neurogenesis, and Pattern Separation. Neuron. 70(4), 589–596 (2011)
MIT news: Driving drones can be a drag, http://web.mit.edu/newsoffice/2012/boredom-and-unmanned-aerial-vehicles-1114.html
Cummings, M.L., Mastracchio, C., Thornburg, K.M., Mkrtchyan, A.: Boredome and Distraction in Multiple Unmanned Vehicle Supervisory Control. Interacting with Computers 25(1), 34–47 (2013)
Izhikevich, E.M.: Simple Model of Spiking Neurons. IEEE Transactions on Neural Networks 14(6), 1569–1572 (2003)
Li, Y., Aimone, J.B., Xu, X., Callaway, E.M., Gage, F.H.: Development of GABAergic Inputs Controls the Contribution of Maturing Neurons to the Adult Hippocampal Network. Proceedings of the National Academy of Sciences 109(11), 4290–4295 (2012)
Cover, T., Thomas, J.: Elements of Information Theory. Wiley, New Jersey (2006)
Victor, J.D.: Approaches to Information-Theoretic Analysis of Neural Activity. Biological Theory 1(3), 302–316 (2006)
Szczepanski, J., Amigo, J.M., Wajnryb, E., Sanchez-Vives, M.V.: Application of Lempel-Ziv complexity to the analysis of neural discharges. Network: Computation in Neural Systems 14, 335–350 (2003)
Lempel, A., Ziv, J.: On the complexity of an individual sequence. IEEE Transactions on Information Theory IT-22, 75–88 (1976)
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Vineyard, C.M., Verzi, S.J., Caudell, T.P., Bernard, M.L., Aimone, J.B. (2013). Adult Neurogenesis: Implications on Human And Computational Decision Making. In: Schmorrow, D.D., Fidopiastis, C.M. (eds) Foundations of Augmented Cognition. AC 2013. Lecture Notes in Computer Science(), vol 8027. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39454-6_57
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DOI: https://doi.org/10.1007/978-3-642-39454-6_57
Publisher Name: Springer, Berlin, Heidelberg
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