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Comput. Neurosci. 8, 175 (2015)
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11. Foster, D.J., Wilson, M.A.: Reverse replay of behavioural sequences in hippocampal
place cells during the awake state. Nature 440(7084), 680 (2006)
12. Gerstner, W., Lehmann, M., Liakoni, V., Corneil, D., Brea, J.: Eligibility traces
and plasticity on behavioral time scales: experimental support of neoHebbian threefactor learning rules. Front. Neural Circuits 12, 53 (2018)
13. Girardeau, G., Benchenane, K., Wiener, S.I., Buzs´ aki, G., Zugaro, M.B.: Selective
suppression of hippocampal ripples impairs spatial memory. Nat. Neurosci 12(10),
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14. Gomperts, S.N., Kloosterman, F., Wilson, M.A.: VTA neurons coordinate with the
hippocampal reactivation of spatial experience. Elife 4, e05360 (2015)
15. Haga, T., Fukai, T.: Recurrent network model for learning goal-directed sequences
through reverse replay. Elife 7, e34171 (2018)
16. Hasselmo, M.E., Schnell, E., Barkai, E.: Dynamics of learning and recall at excitatory recurrent synapses and cholinergic modulation in rat hippocampal region
CA3. J. Neurosci. 15(7), 5249–5262 (1995)
17. Hyun, J.H., et al.: KV1. 2 mediates heterosynaptic modulation of direct cortical
synaptic inputs in CA3 pyramidal cells. J. Physiol. 593(16), 3617–3643 (2015)
18. Jadhav, S.P., Kemere, C., German, P.W., Frank, L.M.: Awake hippocampal sharpwave ripples support spatial memory. Science 336(6087), 1454–1458 (2012)
19. Jahnke, S., Timme, M., Memmesheimer, R.M.: A unified dynamic model for learning, replay, and sharp-wave/ripples. J. Neurosci. 35(49), 16236–16258 (2015)
20. Jauffret, A., Cuperlier, N., Gaussier, P.: From grid cells and visual place cells to
multimodal place cell: a new robotic architecture. Front. Neurorobot. 9, 1 (2015)
21. Kametani, H., Kawamura, H.: Alterations in acetylcholine release in the rat hippocampus during sleep-wakefulness detected by intracerebral dialysis. Life Sci.
47(5), 421–426 (1990)
22. Lee, A.K., Wilson, M.A.: Memory of sequential experience in the hippocampus
during slow wave sleep. Neuron 36(6), 1183–1194 (2002)
23. Maffei, G., Santos-Pata, D., Marcos, E., S´ anchez-Fibla, M., Verschure, P.F.: An
embodied biologically constrained model of foraging: from classical and operant
conditioning to adaptive real-world behavior in dac-x. Neural Netw. 72, 88–108
(2015)
24. Mattar, M.G., Daw, N.D.: Prioritized memory access explains planning and hippocampal replay. Nat. Neurosci. 21(11), 1609 (2018)
25. Mitchinson, B., Prescott, T.J.: MIRO: a robot “Mammal” with a biomimetic
brain-based control system. In: Lepora, N.F.F., Mura, A., Mangan, M., Verschure,
P.F.M.J.F.M.J., Desmulliez, M., Prescott, T.J.J. (eds.) Living Machines 2016.
LNCS (LNAI), vol. 9793, pp. 179–191. Springer, Cham (2016). https://doi.org/
10.1007/978-3-319-42417-0 17
M. T. Whelan et al.
6. Cutsuridis, V., Cobb, S., Graham, B.P.: Encoding and retrieval in a model of the
hippocampal CA1 microcircuit. Hippocampus 20(3), 423–446 (2010)
7. Cutsuridis, V., Hasselmo, M.: Spatial memory sequence encoding and replay during
modeled theta and ripple oscillations. Cogn. Comput. 3(4), 554–574 (2011)
8. Diba, K., Buzs´ aki, G.: Forward and reverse hippocampal place-cell sequences during ripples. Nat. Neurosci. 10(10), 1241 (2007)
9. Esposito, U., Giugliano, M., Vasilaki, E.: Adaptation of short-term plasticity
parameters via error-driven learning may explain the correlation between activitydependent synaptic properties, connectivity motifs and target specificity. Front.
Comput. Neurosci. 8, 175 (2015)
10. Foster, D.J.: Replay comes of age. Ann. Rev. Neurosci. 40, 581–602 (2017)
11. Foster, D.J., Wilson, M.A.: Reverse replay of behavioural sequences in hippocampal
place cells during the awake state. Nature 440(7084), 680 (2006)
12. Gerstner, W., Lehmann, M., Liakoni, V., Corneil, D., Brea, J.: Eligibility traces
and plasticity on behavioral time scales: experimental support of neoHebbian threefactor learning rules. Front. Neural Circuits 12, 53 (2018)
13. Girardeau, G., Benchenane, K., Wiener, S.I., Buzs´ aki, G., Zugaro, M.B.: Selective
suppression of hippocampal ripples impairs spatial memory. Nat. Neurosci 12(10),
1222 (2009)
14. Gomperts, S.N., Kloosterman, F., Wilson, M.A.: VTA neurons coordinate with the
hippocampal reactivation of spatial experience. Elife 4, e05360 (2015)
15. Haga, T., Fukai, T.: Recurrent network model for learning goal-directed sequences
through reverse replay. Elife 7, e34171 (2018)
16. Hasselmo, M.E., Schnell, E., Barkai, E.: Dynamics of learning and recall at excitatory recurrent synapses and cholinergic modulation in rat hippocampal region
CA3. J. Neurosci. 15(7), 5249–5262 (1995)
17. Hyun, J.H., et al.: KV1. 2 mediates heterosynaptic modulation of direct cortical
synaptic inputs in CA3 pyramidal cells. J. Physiol. 593(16), 3617–3643 (2015)
18. Jadhav, S.P., Kemere, C., German, P.W., Frank, L.M.: Awake hippocampal sharpwave ripples support spatial memory. Science 336(6087), 1454–1458 (2012)
19. Jahnke, S., Timme, M., Memmesheimer, R.M.: A unified dynamic model for learning, replay, and sharp-wave/ripples. J. Neurosci. 35(49), 16236–16258 (2015)
20. Jauffret, A., Cuperlier, N., Gaussier, P.: From grid cells and visual place cells to
multimodal place cell: a new robotic architecture. Front. Neurorobot. 9, 1 (2015)
21. Kametani, H., Kawamura, H.: Alterations in acetylcholine release in the rat hippocampus during sleep-wakefulness detected by intracerebral dialysis. Life Sci.
47(5), 421–426 (1990)
22. Lee, A.K., Wilson, M.A.: Memory of sequential experience in the hippocampus
during slow wave sleep. Neuron 36(6), 1183–1194 (2002)
23. Maffei, G., Santos-Pata, D., Marcos, E., S´ anchez-Fibla, M., Verschure, P.F.: An
embodied biologically constrained model of foraging: from classical and operant
conditioning to adaptive real-world behavior in dac-x. Neural Netw. 72, 88–108
(2015)
24. Mattar, M.G., Daw, N.D.: Prioritized memory access explains planning and hippocampal replay. Nat. Neurosci. 21(11), 1609 (2018)
25. Mitchinson, B., Prescott, T.J.: MIRO: a robot “Mammal” with a biomimetic
brain-based control system. In: Lepora, N.F.F., Mura, A., Mangan, M., Verschure,
P.F.M.J.F.M.J., Desmulliez, M., Prescott, T.J.J. (eds.) Living Machines 2016.
LNCS (LNAI), vol. 9793, pp. 179–191. Springer, Cham (2016). https://doi.org/
10.1007/978-3-319-42417-0 17