Abstract
Mammalian hippocampus is involved in short-term formation of declarative memories. We employed a bio-inspired neural model of hippocampal CA1 region consisting of a zoo of excitatory and inhibitory cells. Cells’ firing was timed to a theta oscillation paced by two distinct neuronal populations exhibiting highly regular bursting activity, one tightly coupled to the trough and the other to the peak of theta. To systematically evaluate the model’s recall performance against number of stored patterns, overlaps and ‘active cells per pattern’, its cells were driven by a non-specific excitatory input to their dendrites. This excitatory input to model excitatory cells provided context and timing information for retrieval of previously stored memory patterns. Inhibition to excitatory cells’ dendrites acted as a non-specific global threshold machine that removed spurious activity during recall. Out of the three models tested, ‘model 1’ recall quality was excellent across all conditions. ‘Model 2’ recall was the worst. The number of ‘active cells per pattern’ had a massive effect on network recall quality regardless of how many patterns were stored in it. As ‘active cells per pattern’ decreased, network’s memory capacity increased, interference effects between stored patterns decreased, and recall quality improved. Key finding was that increased firing rate of an inhibitory cell inhibiting a network of excitatory cells has a better success at removing spurious activity at the network level and improving recall quality than increasing the synaptic strength of the same inhibitory cell inhibiting the same network of excitatory cells, while keeping its firing rate fixed.
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Suzuki, W.A.: Making new memories: the role of the hippocampus in new associative learning. Ann. N. Y. Acad. Sci. 1097, 1–11 (2007)
Eichenbaum, H., Dunchenko, P., Wood, E., Shapiro, M., Tanila, H.: The hippocampus, memory and place cells: is it spatial memory or a memory of space? Neuron 23, 209–226 (1999)
Cutsuridis, V., Graham, B.P., Cobb, S., Vida, I.: Hippocampal Microcircuits: A computational modeller’s resource book, 2nd edn. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-99103-0
Treves, A., Rolls, E.: Computational constraints suggest the need for two distinct input systems to the hippocampal CA3 network. Hippocampus 2, 189–200 (1992)
Cutsuridis, V., Cobb, S., Graham, B.P.: Encoding and retrieval in a model of the hippocampal CA1 microcircuit. Hippocampus 20, 423–446 (2010)
Klausberger, T., et al.: Brain-state- and cell-type-specific firing of hippocampal interneurons in vivo. Nature 421, 844–848 (2003)
Klausberger, T., Marton, L.F., Baude, A., Roberts, J.D., Magill, P.J., Somogyi, P.: Spike timing of dendrite-targeting bistratified cells during hippocampal network oscillations in vivo. Nat. Neurosci. 7, 41–47 (2004)
Poirazi, P., Brannon, T., Mel, B.W.: Arithmetic of subthreshold synaptic summation in a model of CA1 pyramidal cell. Neuron 37, 977–987 (2003)
Poirazi, P., Brannon, T., Mel, B.W.: Pyramidal neuron as a 2-layer neural network. Neuron 37, 989–999 (2003)
Santhakumar, V., Aradi, I., Soltetz, I.: Role of mossy fiber sprouting and mossy cell loss in hyperexcitability: a network model of the dentate gyrus incorporating cell types and axonal topography. J. Neurophysiol. 93, 437–453 (2005)
Buhl, E.H., Szilágyi, T., Halasy, K., Somogyi, P.: Physiological properties of anatomically identified basket and bistratified cells in the CA1 area of the rat hippocampus in vitro. Hippocampus 6(3), 294–305 (1996)
Buhl, E.H., Han, Z.S., Lorinczi, Z., Stezhka, V.V., Kapnup, S.V., Somogyi, P.: Physiological properties of anatomically identified axo-axonic cells in the rat hippocampus. J. Neurophysiol. 71(4), 1289–1307 (1994)
Cutsuridis, V.: Improving the recall performance of a brain mimetic microcircuit model. Cogn. Comput. 11, 644–655 (2019). https://doi.org/10.1007/s12559-019-09658-8
Hines, M.L., Carnevale, T.: The NEURON simulation environment. Neural Comput. 9, 1179–1209 (1997)
Borhegyi, Z., Varga, V., Szilagyi, N., Fabo, D., Freund, T.F.: Phase segregation of medial septal GABAergic neurons during hippocampal theta activity. J. Neurosci. 24, 8470–8479 (2004)
Petersen, C.C.H., Malenka, R.C., Nicoll, R.A., Hopfield, J.J.: All-or none potentiation at CA3-CA1 synapses. Proc. Natl. Acad. Sci. USA 95, 4732–4737 (1998)
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This work was supported in part by EU Horizon 2020 through Project ULTRACEPT under Grant 778062.
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Andreakos, N., Yue, S., Cutsuridis, V. (2020). Recall Performance Improvement in a Bio-Inspired Model of the Mammalian Hippocampus. In: Mahmud, M., Vassanelli, S., Kaiser, M.S., Zhong, N. (eds) Brain Informatics. BI 2020. Lecture Notes in Computer Science(), vol 12241. Springer, Cham. https://doi.org/10.1007/978-3-030-59277-6_29
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DOI: https://doi.org/10.1007/978-3-030-59277-6_29
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