Abstract
The hippocampus plays an important role in the course of establishing long-term memory, i.e., to make short-term memory of spatially and temporally associated input information. In 1996 (Tsukada et al. 1996), the spatiotemporal learning rule was proposed based on differences observed in hippocampal long-term potentiation (LTP) induced by various spatiotemporal pattern stimuli. One essential point of this learning rule is that the change of synaptic weight depends on both spatial coincidence and the temporal summation of input pulses. We applied this rule to a single-layered neural network and compared its ability to separate spatiotemporal patterns with that of other rules, including the Hebbian learning rule and its extended rules. The simulated results showed that the spatiotemporal learning rule had the highest efficiency in discriminating spatiotemporal pattern sequences, while the Hebbian learning rule (including its extended rules) was sensitive to differences in spatial patterns.
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References
Aihara T, Tsukada M, Crair MC, Shinomoto S (1997) Stimulus-dependent induction of long-term potentiation in CA1 area of the hippocampus: experiment and model. Hippocampus 7:416–426
Aihara T, Tsukada M, Matsda H (2000) Two dynamic processes for the induction of long-term potentiation in hippocampal CA1 neurons. Biol Cybern 82:189–195
Andreason M, Lambert JD (1995) Regenerative properties of pyramidal cell dendrites in area CA1 of the rat hippocampus. J Physiol 483:421–441
Bliss TV, Lømo T (1973) Long-lasting potentiation of synaptic transmission in the dentate area of the anaesthetized rabbit following stimulation of the perforant path. J Physiol 232:331–356
Callaway JC, Ross WN (1995) Frequency-dependant propagation of sodium action potentials in dendrites of hippocampal CA1 pyramidal neurons. J Neurophysiol 74:1395–1403
Dragoi G, Harris KD, Buzsaki G (2003) Place representation within hippocampal networks is modified by long-term potentiation. Neuron 39:843–853
Golding NL et al (2001) Dichotomy of action-potential back-propagation in CA1 pyramidal neuron dendrites. J Neuropyshiol 86:2998–3010
Golding NL et al (2002) Dendritic spikes as a mechanism for cooperative long-term potentiation. Nature 418:326–331
Hebb DO (1949) The organization of behavior. Wiley, New York
Muller RU, Stead M, Pach J (1996) The hippocampus as a cognitive graph. J Gen Pysiol 107:663–694
O’Keefe J, Nadel L (1978) The hippocampus as a cognitive map. Oxford University Press, Oxford
Spruston N et al (1995) Activity-dependent action potential invasion and calcium influx into hippocampal CA1 dendrites. Science 268:297–300
Stuart G et al (1997) Action potential initiation and backpropagation in neurons of the mammalian CNS. Trends Neurosci 20:125–131
Tsukada M, Aihara T, Mizuro M, Kato H, Ito K (1990) Long-term potentiation on temporal pattern stimuli in hippocampal slices. In: Iwai E, Mishikin M, (eds) Vision, memory, and the temporal lobe. Elsevier, New York pp 251–254
Tsukada M, Aihara T, Mizuro M, Kato H, Ito K (1994) Temporal pattern sensitivity of long-term potentiation in hippocampal CA1 neurons. Biol Cybern 70:495–503
Tsukada M, Aihara T, Saito H, Kato H (1996) Hippocampal LTP depends on spatial and temporal correlation of inputs. Neural Netw 9:1357–1365
Tsukada M, Hagiwara H, Aihara K (1998) A high ability of proposed spatio-temporal learning rule to differentiate spatio-temporal sequences demonstrated in a simple model of short-long memory. International symposium on nonlinear theory and its applications, Crans-Montana, Switzerland, pp 1313–1315
Wilson MA, McNaughton BL (1993) Dynamics of the hippocampal ensemble code for space. Science 261:1055–1058
Acknowledgments.
This study was supported by a Grant-in-Aid (12210017) for Scientific Research on Priority Areas Advanced Brain Science Project from Ministry of Education, Culture, Sports, Science and Technology, Japan and by The 21st Century Center of Excellence Program (Integrative Human Science Program, Tamagawa Univ.)
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Tsukada, M., Pan, X. The spatiotemporal learning rule and its efficiency in separating spatiotemporal patterns. Biol Cybern 92, 139–146 (2005). https://doi.org/10.1007/s00422-004-0523-1
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DOI: https://doi.org/10.1007/s00422-004-0523-1