-
1
-
-
0002988210
-
Computing machinery and intelligence
-
Turing, A. M. Computing machinery and intelligence. Mind 59, 433-460 (1950).
-
(1950)
Mind
, vol.59
, pp. 433-460
-
-
Turing, A.M.1
-
2
-
-
77957565867
-
Emergent complex neural dynamics
-
Chialvo, D. R. Emergent complex neural dynamics. Nature physics 6, 744-750 (2010).
-
(2010)
Nature Physics
, vol.6
, pp. 744-750
-
-
Chialvo, D.R.1
-
4
-
-
33646856921
-
Optimal dynamical range of excitable networks at criticality
-
Kinouchi, O. & Copelli, M. Optimal dynamical range of excitable networks at criticality. Nature physics 2, 348-351 (2006).
-
(2006)
Nature Physics
, vol.2
, pp. 348-351
-
-
Kinouchi, O.1
Copelli, M.2
-
6
-
-
71849090030
-
Neuronal avalanches imply maximum dynamic range in cortical networks at criticality
-
Shew, W. L., Yang, H., Petermann, T., Roy, R. & Plenz, D. Neuronal avalanches imply maximum dynamic range in cortical networks at criticality. The Journal of Neuroscience 29, 15595-15600 (2009).
-
(2009)
The Journal of Neuroscience
, vol.29
, pp. 15595-15600
-
-
Shew, W.L.1
Yang, H.2
Petermann, T.3
Roy, R.4
Plenz, D.5
-
7
-
-
84925061914
-
Criticality as a signature of healthy neural systems
-
Massobrio, P., de Arcangelis, L., Pasquale, V., Jensen, H. J. & Plenz, D. Criticality as a signature of healthy neural systems. Frontiers in systems neuroscience 9 (2015).
-
(2015)
Frontiers in Systems Neuroscience
, vol.9
-
-
Massobrio, P.1
De Arcangelis, L.2
Pasquale, V.3
Jensen, H.J.4
Plenz, D.5
-
8
-
-
11944266612
-
Earthquake cycles and neural reverberations: Collective oscillations in systems with pulse-coupled threshold elements
-
Herz, A. V. & Hopfield, J. J. Earthquake cycles and neural reverberations: collective oscillations in systems with pulse-coupled threshold elements. Physical review letters 75, 1222 (1995).
-
(1995)
Physical Review Letters
, vol.75
, pp. 1222
-
-
Herz, A.V.1
Hopfield, J.J.2
-
9
-
-
0348010295
-
Neuronal avalanches in neocortical circuits
-
Beggs, J. M. & Plenz, D. Neuronal avalanches in neocortical circuits. The Journal of neuroscience 23, 11167-11177 (2003).
-
(2003)
The Journal of Neuroscience
, vol.23
, pp. 11167-11177
-
-
Beggs, J.M.1
Plenz, D.2
-
10
-
-
84894243868
-
Power laws and self-organized criticality in theory and nature
-
Markovic, D. & Gros, C. Power laws and self-organized criticality in theory and nature. Physics Reports 536, 41-74 (2014).
-
(2014)
Physics Reports
, vol.536
, pp. 41-74
-
-
Markovic, D.1
Gros, C.2
-
11
-
-
32644482156
-
Self-organized criticality model for brain plasticity
-
de Arcangelis, L., Perrone-Capano, C. & Herrmann, H. J. Self-organized criticality model for brain plasticity. Physical review letters 96, 028107 (2006).
-
(2006)
Physical Review Letters
, vol.96
, pp. 028107
-
-
De Arcangelis, L.1
Perrone-Capano, C.2
Herrmann, H.J.3
-
12
-
-
36749042711
-
Dynamical synapses causing self-organized criticality in neural networks
-
Levina, A., Herrmann, J. M. & Geisel, T. Dynamical synapses causing self-organized criticality in neural networks. Nature physics 3, 857-860 (2007).
-
(2007)
Nature Physics
, vol.3
, pp. 857-860
-
-
Levina, A.1
Herrmann, J.M.2
Geisel, T.3
-
13
-
-
77949830525
-
Self-organization without conservation: Are neuronal avalanches generically critical?
-
Bonachela, J. A., De Franciscis, S., Torres, J. J. & Munoz, M. A. Self-organization without conservation: are neuronal avalanches generically critical? Journal of Statistical Mechanics: Theory and Experiment 2010, P02015 (2010).
-
(2010)
Journal of Statistical Mechanics: Theory and Experiment
, vol.2010
, pp. P02015
-
-
Bonachela, J.A.1
De Franciscis, S.2
Torres, J.J.3
Munoz, M.A.4
-
14
-
-
84860527469
-
Are dragon-king neuronal avalanches dungeons for self-organized brain activity?
-
De Arcangelis, L. Are dragon-king neuronal avalanches dungeons for self-organized brain activity? The European Physical Journal Special Topics 205, 243-257 (2012).
-
(2012)
The European Physical Journal Special Topics
, vol.205
, pp. 243-257
-
-
De Arcangelis, L.1
-
15
-
-
84937840008
-
Can dynamical synapses produce true self-organized criticality?
-
Costa, A., Copelli, M. & Kinouchi, O. Can dynamical synapses produce true self-organized criticality? Journal of Statistical Mechanics: Theory and Experiment 2015, P06004 (2015).
-
(2015)
Journal of Statistical Mechanics: Theory and Experiment
, vol.2015
, pp. P06004
-
-
Costa, A.1
Copelli, M.2
Kinouchi, O.3
-
16
-
-
84983329235
-
Synaptic plasticity and neuronal refractory time cause scaling behaviour of neuronal avalanches
-
van Kessenich, L. M., de Arcangelis, L. & Herrmann, H. Synaptic plasticity and neuronal refractory time cause scaling behaviour of neuronal avalanches. Scientific Reports 6 (2016).
-
(2016)
Scientific Reports
, vol.6
-
-
Van Kessenich, L.M.1
De Arcangelis, L.2
Herrmann, H.3
-
17
-
-
84994610738
-
-
arXiv:1604.05779 To appear in Physical Review E
-
Campos, J., Costa, A., Copelli, M. & Kinouchi, O. Differences between quenched and annealed networks with dynamical links. arXiv:1604.05779 To appear in Physical Review E (2016).
-
(2016)
Differences between Quenched and Annealed Networks with Dynamical Links
-
-
Campos, J.1
Costa, A.2
Copelli, M.3
Kinouchi, O.4
-
18
-
-
0035374850
-
The effects of spike frequency adaptation and negative feedback on the synchronization of neural oscillators
-
Ermentrout, B., Pascal, M. & Gutkin, B. The effects of spike frequency adaptation and negative feedback on the synchronization of neural oscillators. Neural Computation 13, 1285-1310 (2001).
-
(2001)
Neural Computation
, vol.13
, pp. 1285-1310
-
-
Ermentrout, B.1
Pascal, M.2
Gutkin, B.3
-
19
-
-
0141749203
-
A universal model for spike-frequency adaptation
-
Benda, J. & Herz, A. V. A universal model for spike-frequency adaptation. Neural computation 15, 2523-2564 (2003).
-
(2003)
Neural Computation
, vol.15
, pp. 2523-2564
-
-
Benda, J.1
Herz, A.V.2
-
20
-
-
84955076267
-
A leaky integrate-and-fire model with adaptation for the generation of a spike train
-
Buonocore, A., Caputo, L., Pirozzi, E. & Carfora, M. F. A leaky integrate-and-fire model with adaptation for the generation of a spike train. Mathematical biosciences and engineering: MBE 13, 483-493 (2016).
-
(2016)
Mathematical Biosciences and Engineering: MBE
, vol.13
, pp. 483-493
-
-
Buonocore, A.1
Caputo, L.2
Pirozzi, E.3
Carfora, M.F.4
-
21
-
-
84877608573
-
Infinite systems of interacting chains with memory of variable length - Stochastic model for biological neural nets
-
Galves, A. & Löcherbach, E. Infinite systems of interacting chains with memory of variable length - stochastic model for biological neural nets. Journal of Statistical Physics 151, 896-921 (2013).
-
(2013)
Journal of Statistical Physics
, vol.151
, pp. 896-921
-
-
Galves, A.1
Löcherbach, E.2
-
22
-
-
0001127901
-
Recherches quantitatives sur l'excitation électrique des nerfs traitée comme une polarisation
-
Lapicque, L. Recherches quantitatives sur l'excitation électrique des nerfs traitée comme une polarisation. J. Physiol. Pathol. Gen. 9, 620-635 (1907).
-
(1907)
J. Physiol. Pathol. Gen.
, vol.9
, pp. 620-635
-
-
Lapicque, L.1
-
23
-
-
40849134255
-
Quantitative investigations of electrical nerve excitation treated as polarization
-
Translation
-
Translation: Brunel, N. & van Rossum, M. C. Quantitative investigations of electrical nerve excitation treated as polarization. Biol. Cybernetics 97, 341-349 (2007).
-
(2007)
Biol. Cybernetics
, vol.97
, pp. 341-349
-
-
Brunel, N.1
Van Rossum, M.C.2
-
24
-
-
0002338948
-
Random walk models for the spike activity of a single neuron
-
Gerstein, G. L. & Mandelbrot, B. Random walk models for the spike activity of a single neuron. Biophysical journal 4, 41 (1964).
-
(1964)
Biophysical Journal
, vol.4
, pp. 41
-
-
Gerstein, G.L.1
Mandelbrot, B.2
-
26
-
-
33745730999
-
A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties
-
Burkitt, A. N. A review of the integrate-and-fire neuron model: II. inhomogeneous synaptic input and network properties. Biological cybernetics 95, 97-112 (2006).
-
(2006)
Biological Cybernetics
, vol.95
, pp. 97-112
-
-
Burkitt, A.N.1
-
27
-
-
84952935495
-
The performance (and limits) of simple neuron models: Generalizations of the leaky integrate-and-fire model
-
Springer
-
Naud, R. & Gerstner, W. The performance (and limits) of simple neuron models: generalizations of the leaky integrate-and-fire model. In Computational Systems Neurobiology 163-192 (Springer, 2012).
-
(2012)
Computational Systems Neurobiology
, pp. 163-192
-
-
Naud, R.1
Gerstner, W.2
-
28
-
-
35248866865
-
Simulation of networks of spiking neurons: A review of tools and strategies
-
Brette, R. et al. Simulation of networks of spiking neurons: a review of tools and strategies. Journal of computational neuroscience 23, 349-398 (2007).
-
(2007)
Journal of Computational Neuroscience
, vol.23
, pp. 349-398
-
-
Brette, R.1
-
29
-
-
84929501386
-
What is the most realistic single-compartment model of spike initiation?
-
Brette, R. What is the most realistic single-compartment model of spike initiation? PLoS Comput Biol 11, e1004114 (2015).
-
(2015)
PLoS Comput Biol
, vol.11
-
-
Brette, R.1
-
30
-
-
84984539714
-
Avalanches in a stochastic model of spiking neurons
-
Benayoun, M., Cowan, J. D., van Drongelen, W. & Wallace, E. Avalanches in a stochastic model of spiking neurons. PLoS Comput Biol 6, e1000846 (2010).
-
(2010)
PLoS Comput Biol
, vol.6
-
-
Benayoun, M.1
Cowan, J.D.2
Van Drongelen, W.3
Wallace, E.4
-
31
-
-
84897033914
-
Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons
-
Ostojic, S. Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons. Nature neuroscience 17, 594-600 (2014).
-
(2014)
Nature Neuroscience
, vol.17
, pp. 594-600
-
-
Ostojic, S.1
-
32
-
-
84937690486
-
Brain performance versus phase transitions
-
Torres, J. J. & Marro, J. Brain performance versus phase transitions. Scientific reports 5 (2015).
-
(2015)
Scientific Reports
, vol.5
-
-
Torres, J.J.1
Marro, J.2
-
33
-
-
78049262157
-
A threshold equation for action potential initiation
-
Platkiewicz, J. & Brette, R. A threshold equation for action potential initiation. PLoS Comput Biol 6, e1000850 (2010).
-
(2010)
PLoS Comput Biol
, vol.6
-
-
Platkiewicz, J.1
Brette, R.2
-
35
-
-
33644875527
-
Spontaneous dynamics of asymmetric random recurrent spiking neural networks
-
Soula, H., Beslon, G. & Mazet, O. Spontaneous dynamics of asymmetric random recurrent spiking neural networks. Neural Computation 18, 60-79 (2006).
-
(2006)
Neural Computation
, vol.18
, pp. 60-79
-
-
Soula, H.1
Beslon, G.2
Mazet, O.3
-
36
-
-
36749004948
-
A discrete time neural network model with spiking neurons
-
Cessac, B. A discrete time neural network model with spiking neurons. Journal of Mathematical Biology 56, 311-345 (2008).
-
(2008)
Journal of Mathematical Biology
, vol.56
, pp. 311-345
-
-
Cessac, B.1
-
38
-
-
79956132400
-
A discrete time neural network model with spiking neurons: II: Dynamics with noise
-
Cessac, B. A discrete time neural network model with spiking neurons: Ii: Dynamics with noise. Journal of mathematical biology 62, 863-900 (2011).
-
(2011)
Journal of Mathematical Biology
, vol.62
, pp. 863-900
-
-
Cessac, B.1
-
39
-
-
84925535670
-
Hydrodynamic limit for interacting neurons
-
De Masi, A., Galves, A., Löcherbach, E. & Presutti, E. Hydrodynamic limit for interacting neurons. Journal of Statistical Physics 158, 866-902 (2015).
-
(2015)
Journal of Statistical Physics
, vol.158
, pp. 866-902
-
-
De Masi, A.1
Galves, A.2
Löcherbach, E.3
Presutti, E.4
-
40
-
-
85015872476
-
A model for neural activity in the absence of external stimuli
-
Duarte, A. & Ost, G. A model for neural activity in the absence of external stimuli. Markov Processes and Related Fields 22, 37-52 (2016).
-
(2016)
Markov Processes and Related Fields
, vol.22
, pp. 37-52
-
-
Duarte, A.1
Ost, G.2
-
41
-
-
84947034979
-
Hydrodynamic limit for spatially structured interacting neurons
-
Duarte, A., Ost, G. & Rodrguez, A. A. Hydrodynamic limit for spatially structured interacting neurons. Journal of Statistical Physics 161, 1163-1202 (2015).
-
(2015)
Journal of Statistical Physics
, vol.161
, pp. 1163-1202
-
-
Duarte, A.1
Ost, G.2
Rodrguez, A.A.3
-
42
-
-
84994678441
-
Modeling networks of spiking neurons as interacting processes with memory of variable length
-
Galves, A. & Löcherbach, E. Modeling networks of spiking neurons as interacting processes with memory of variable length. J. Soc. Franc. Stat. 157, 17-32 (2016).
-
(2016)
J. Soc. Franc. Stat.
, vol.157
, pp. 17-32
-
-
Galves, A.1
Löcherbach, E.2
-
43
-
-
84898074481
-
Inhibition causes ceaseless dynamics in networks of excitable nodes
-
Larremore, D. B., Shew, W. L., Ott, E., Sorrentino, F. & Restrepo, J. G. Inhibition causes ceaseless dynamics in networks of excitable nodes. Physical review letters 112, 138103 (2014).
-
(2014)
Physical Review Letters
, vol.112
, pp. 138103
-
-
Larremore, D.B.1
Shew, W.L.2
Ott, E.3
Sorrentino, F.4
Restrepo, J.G.5
-
44
-
-
84994678434
-
-
arXiv preprint arXiv:1605.03090
-
Virkar, Y. S., Shew, W. L., Restrepo, J. G. & Ott, E. Metabolite transport through glial networks stabilizes the dynamics of learning. arXiv preprint arXiv:1605.03090 (2016).
-
(2016)
Metabolite Transport Through Glial Networks Stabilizes the Dynamics of Learning
-
-
Virkar, Y.S.1
Shew, W.L.2
Restrepo, J.G.3
Ott, E.4
-
45
-
-
11844273191
-
Donald o. Hebb's synapse and learning rule: A history and commentary
-
Cooper, S. J. Donald o. hebb's synapse and learning rule: a history and commentary. Neuroscience & Biobehavioral Reviews 28, 851-874 (2005).
-
(2005)
Neuroscience & Biobehavioral Reviews
, vol.28
, pp. 851-874
-
-
Cooper, S.J.1
-
46
-
-
0032523457
-
Neural networks with dynamic synapses
-
Tsodyks, M., Pawelzik, K. & Markram, H. Neural networks with dynamic synapses. Neural computation 10, 821-835 (1998).
-
(1998)
Neural Computation
, vol.10
, pp. 821-835
-
-
Tsodyks, M.1
Pawelzik, K.2
Markram, H.3
-
47
-
-
79551609375
-
Predicting criticality and dynamic range in complex networks: Effects of topology
-
Larremore, D. B., Shew, W. L. & Restrepo, J. G. Predicting criticality and dynamic range in complex networks: effects of topology. Physical review letters 106, 058101 (2011).
-
(2011)
Physical Review Letters
, vol.106
, pp. 058101
-
-
Larremore, D.B.1
Shew, W.L.2
Restrepo, J.G.3
-
48
-
-
84856291016
-
Signal processing in the axon initial segment
-
Kole, M. H. & Stuart, G. J. Signal processing in the axon initial segment. Neuron 73, 235-247 (2012).
-
(2012)
Neuron
, vol.73
, pp. 235-247
-
-
Kole, M.H.1
Stuart, G.J.2
-
49
-
-
0001018280
-
The relation of physiological and psychological aspects of sensory intensity
-
Springer
-
Lipetz, L. E. The relation of physiological and psychological aspects of sensory intensity. In Principles of Receptor Physiology, 191-225 (Springer, 1971).
-
(1971)
Principles of Receptor Physiology
, pp. 191-225
-
-
Lipetz, L.E.1
-
50
-
-
0013942266
-
S-potentials from luminosity units in the retina of fish (cyprinidae)
-
Naka, K.-I. & Rushton, W. A. S-potentials from luminosity units in the retina of fish (cyprinidae). The Journal of physiology 185, 587 (1966).
-
(1966)
The Journal of Physiology
, vol.185
, pp. 587
-
-
Naka, K.-I.1
Rushton, W.A.2
-
52
-
-
67649119882
-
Subsampling effects in neuronal avalanche distributions recorded in vivo
-
Priesemann, V., Munk, M. H. & Wibral, M. Subsampling effects in neuronal avalanche distributions recorded in vivo. BMC neuroscience 10, 40 (2009).
-
(2009)
BMC Neuroscience
, vol.10
, pp. 40
-
-
Priesemann, V.1
Munk, M.H.2
Wibral, M.3
-
53
-
-
78651241099
-
Spike avalanches exhibit universal dynamics across the sleep-wake cycle
-
Ribeiro, T. L. et al. Spike avalanches exhibit universal dynamics across the sleep-wake cycle. PloS one 5, e14129 (2010).
-
(2010)
PloS One
, vol.5
-
-
Ribeiro, T.L.1
-
54
-
-
84899714273
-
Undersampled critical branching processes on small-world and random networks fail to reproduce the statistics of spike avalanches
-
Ribeiro, T. L., Ribeiro, S., Belchior, H., Caixeta, F. & Copelli, M. Undersampled critical branching processes on small-world and random networks fail to reproduce the statistics of spike avalanches. PloS one 9, e94992 (2014).
-
(2014)
PloS One
, vol.9
-
-
Ribeiro, T.L.1
Ribeiro, S.2
Belchior, H.3
Caixeta, F.4
Copelli, M.5
|