Indexed keywords
PRESYNAPTIC RECEPTOR;
ALGORITHM;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
AUTOMATED PATTERN RECOGNITION;
BIOLOGICAL MODEL;
MEMORY;
PHYSIOLOGY;
REPRODUCIBILITY;
SYNAPSE;
ALGORITHMS;
MEMORY;
MODELS, NEUROLOGICAL;
NEURAL NETWORKS (COMPUTER);
PATTERN RECOGNITION, AUTOMATED;
PHYSIOLOGY;
RECEPTORS, PRESYNAPTIC;
REPRODUCIBILITY OF RESULTS;
SYNAPSES;
3
36149028967
Quantitative study of attractor neural network retrieving at low spike rates: I. Substrate-spikes, rates and neuronal gain
Amit D J and Tsodyks M V 1991 Quantitative study of attractor neural network retrieving at low spike rates: I. Substrate-spikes, rates and neuronal gain Network 2 259-73
(1991)
Network
, vol.2
, pp. 259-273
Amit, D.J.1
Tsodyks, M.V.2
4
0033180647
Mean-field theory of globally coupled integrate-and-fire neural oscillators with dynamic synapses
Bressloff P C 1999 Mean-field theory of globally coupled integrate-and-fire neural oscillators with dynamic synapses Phys. Rev. E 60 2160-70
(1999)
Phys. Rev. E
, vol.60
, pp. 2160-2170
Bressloff, P.C.1
5
0042221977
Statistical mechanics of recurrent neural networks: II. Dynamics
ed F Moss and S Gielen (Amsterdam: Elsevier)
Coolen A C C 2001 Statistical mechanics of recurrent neural networks: II. Dynamics vol 4, ed F Moss and S Gielen Handbook of Biological Physics (Amsterdam: Elsevier) pp 597-662
(2001)
Handbook of Biological Physics
, vol.4
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Coolen, A.C.C.1
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Heterogeneity of release probability, facilitation and depletion at central synapses
Dobrunz L E and Stevens C F 1997 Heterogeneity of release probability, facilitation and depletion at central synapses Neuron 18 995-1008
(1997)
Neuron
, vol.18
, pp. 995-1008
Dobrunz, L.E.1
Stevens, C.F.2
8
0033209592
Short-term synaptic plasticity and network behavior
Kistler W M and van Hemmen J L 1999 Short-term synaptic plasticity and network behavior Neural Comput. 11 1579-94
(1999)
Neural Comput.
, vol.11
, pp. 1579-1594
Kistler, W.M.1
Van Hemmen, J.L.2
9
0033561842
Dynamic stochastic synapses as computational units
Maass W and Zador A M 1999 Dynamic stochastic synapses as computational units Neural Comput. 11 903-17
(1999)
Neural Comput.
, vol.11
, pp. 903-917
Maass, W.1
Zador, A.M.2
10
0029738588
Redistribution of synaptic efficacy between neocortical pyramidal neurons
Markram H and Tsodyks M V 1996 Redistribution of synaptic efficacy between neocortical pyramidal neurons Nature 382 807-10
(1996)
Nature
, vol.382
, pp. 807-810
Markram, H.1
Tsodyks, M.V.2
11
0032574789
Differential signaling via the same axon of neocortical pyramidal neurons
Markram H, Wang Y and Tsodyks M V 1996 Differential signaling via the same axon of neocortical pyramidal neurons Proc. Natl Acad. Sci. USA 95 5323-8
(1996)
Proc. Natl Acad. Sci. USA
, vol.95
, pp. 5323-5328
Markram, H.1
Wang, Y.2
Tsodyks, M.V.3
12
21144476369
Retrieval dynamics of associative memory of the Hopfield type
Nishimori I and Ozeki T 1993 Retrieval dynamics of associative memory of the Hopfield type J. Phys. A: Math. Gen. 26 859-71
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J. Phys. A: Math. Gen.
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Nishimori, I.1
Ozeki, T.2
13
84956108236
The enhanced storage capacity in neural networks with low activity level
Tsodyks M V and Feigel'man M V 1988 The enhanced storage capacity in neural networks with low activity level Europhys. Lett. 6 101-5
(1988)
Europhys. Lett.
, vol.6
, pp. 101-105
Tsodyks, M.V.1
Feigel'man, M.V.2
14
84902157260
Plasticity of neocortical synapses enables transitions between rate and temporal coding
Tsodyks M V and Markram H 1996 Plasticity of neocortical synapses enables transitions between rate and temporal coding Lecture Notes Computer Science vol 1112 pp 445-50
(1996)
Lecture Notes Computer Science
, vol.1112
, pp. 445-450
Tsodyks, M.V.1
Markram, H.2
15
0033661204
Synchrony generation in recurrent networks with frequency-dependent synapses
Tsodyks M V, Uziel A and Markram H 2000 Synchrony generation in recurrent networks with frequency-dependent synapses J. Neorosci. 20 RC50 (1-5)
(2000)
J. Neorosci.
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Tsodyks, M.V.1
Uziel, A.2
Markram, H.3