@article {1697,
	title = {A neural data structure for novelty detection.},
	journal = {Proc Natl Acad Sci U S A},
	volume = {115},
	year = {2018},
	month = {2018 12 18},
	pages = {13093-13098},
	abstract = {<p>Novelty detection is a fundamental biological problem that organisms must solve to determine whether a given stimulus departs from those previously experienced. In computer science, this problem is solved efficiently using a data structure called a Bloom filter. We found that the fruit fly olfactory circuit evolved a variant of a Bloom filter to assess the novelty of odors. Compared with a traditional Bloom filter, the fly adjusts novelty responses based on two additional features: the similarity of an odor to previously experienced odors and the time elapsed since the odor was last experienced. We elaborate and validate a framework to predict novelty responses of fruit flies to given pairs of odors. We also translate insights from the fly circuit to develop a class of distance- and time-sensitive Bloom filters that outperform prior filters when evaluated on several biological and computational datasets. Overall, our work illuminates the algorithmic basis of an important neurobiological problem and offers strategies for novelty detection in computational systems.</p>
},
	keywords = {Algorithms, Animals, Drosophila, Models, Biological, Nerve Net, Neural Networks (Computer), Odorants, Olfactory Pathways},
	issn = {1091-6490},
	doi = {10.1073/pnas.1814448115},
	author = {Dasgupta, Sanjoy and Sheehan, Timothy C and Stevens, Charles F and Navlakha, Saket}
}
@article {175,
	title = {Computational influence of adult neurogenesis on memory encoding.},
	journal = {Neuron},
	volume = {61},
	year = {2009},
	month = {2009 Jan 29},
	pages = {187-202},
	abstract = {<p>Adult neurogenesis in the hippocampus leads to the incorporation of thousands of new granule cells into the dentate gyrus every month, but its function remains unclear. Here, we present computational evidence that indicates that adult neurogenesis may make three separate but related contributions to memory formation. First, immature neurons introduce a degree of similarity to memories learned at the same time, a process we refer to as pattern integration. Second, the extended maturation and change in excitability of these neurons make this added similarity a time-dependent effect, supporting the possibility that temporal information is included in new hippocampal memories. Finally, our model suggests that the experience-dependent addition of neurons results in a dentate gyrus network well suited for encoding new memories in familiar contexts while treating novel contexts differently. Taken together, these results indicate that new granule cells may affect hippocampal function in several unique and previously unpredicted ways.</p>
},
	keywords = {Age Factors, Algorithms, Animals, Cell Proliferation, Computer Simulation, Dentate Gyrus, Humans, Memory, Nerve Net, Neural Pathways, Neurogenesis, Neuronal Plasticity, Neurons, Stem Cells, Synapses, Time Perception},
	issn = {1097-4199},
	doi = {10.1016/j.neuron.2008.11.026},
	author = {Aimone, James B and Wiles, Janet and Gage, Fred H}
}
