STDP allows fast rate-modulated coding with Poisson-like spike trains

PLoS Computational Biology

Volumn 7, Issue 10, 2011, Pages

  Gilson, Matthieu ^a,b   Masquelier, Timothée ^c   Hugues, Etienne ^c  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^c UNIVERSITAT POMPEU FABRA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

STOCHASTIC SYSTEMS;

EXPERIMENTAL EVIDENCE; FASTER RATES; LEARN+; MODULATED PATTERNS; POST-STIMULUS TIME HISTOGRAMS; REFERENCE TIME; SINGLE NEURON; SPIKE PATTERNS; SPIKE TIMING DEPENDENT PLASTICITIES; SPIKE TRAIN;

NEURONS;

ARTICLE; CODING; COGNITION; CONTROLLED STUDY; HISTOGRAM; NERVE CELL PLASTICITY; NERVE POTENTIAL; NERVE STIMULATION; NEUROMODULATION; POISSON DISTRIBUTION; SPIKE TIMING DEPENDENT PLASTICITY; SPIKE WAVE; STIMULUS RESPONSE; STOCHASTIC MODEL; TASK PERFORMANCE; BIOLOGICAL MODEL; BIOLOGY; COMPUTER SIMULATION; METHODOLOGY; NERVE CELL; PHYSIOLOGY;

ELLIPTIO ICTERINA;

COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; MODELS, NEUROLOGICAL; NEURONAL PLASTICITY; NEURONS; POISSON DISTRIBUTION;

EID: 80055091653     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002231     Document Type: Article

References (56)

1. Caporale N, Dan Y, (2008) Spike timing-dependent plasticity: a hebbian learning rule. Annu Rev Neurosci 31: 25-46.
2. Gerstner W, Kempter R, van Hemmen JL, Wagner H, (1996) A neuronal learning rule for sub-millisecond temporal coding. Nature 383: 76-81.
3. Song S, Miller K, Abbott L, (2000) Competitive hebbian learning through spike-timing-dependent synaptic plasticity. Nat Neurosci 3: 919-926.
4. Kempter R, Gerstner W, van Hemmen JL, (1999) Hebbian learning and spiking neurons. Phys Rev E 59: 4498-4514.
5. van Rossum MCW, Turrigiano GG, (2001) Correlation based learning from spike timing dependent plasticity. Neurocomputing 38: 409-415.
6. Gütig R, Aharonov R, Rotter S, Sompolinsky H, (2003) Learning input correlations through nonlinear temporally asymmetric hebbian plasticity. J Neurosci 23: 3697-3714.
7. Song S, Abbott LF, (2001) Cortical development and remapping through spike timing-dependent plasticity. Neuron 32: 339-350.
8. Agus TR, Thorpe SJ, Pressnitzer D, (2010) Rapid formation of robust auditory memories: insights from noise. Neuron 66: 610-618.
9. Masquelier T, Guyonneau R, Thorpe SJ, (2008) Spike timing dependent plasticity finds the start of repeating patterns in continuous spike trains. PLoS ONE 3: e1377.
10. Frostig RD, Frostig Z, Harper RM, (1990) Recurring discharge patterns in multiple spike trains. Biol Cybern 62: 487-493.
11. Prut Y, Vaadia E, Bergman H, Haalman I, Slovin H, et al. (1998) Spatiotemporal structure of cortical activity: properties and behavioral relevance. J Neurophysiol 79: 2857-74.
12. Fellous JM, Tiesinga PH, Thomas PJ, Sejnowski TJ, (2004) Discovering spike patterns in neuronal responses. J Neurosci 24: 2989-3001.
13. Abeles M, (2004) Neuroscience. Time is precious. Science 304: 523-4.
14. Luczak A, Barthó P, Marguet SL, Buzsáki G, Harris KD, (2007) Sequential structure of neocortical spontaneous activity in vivo. Proc Natl Acad Sci U S A 104: 347-352.
15. Rolston JD, Wagenaar DA, Potter SM, (2007) Precisely timed spatiotemporal patterns of neural activity in dissociated cortical cultures. Neuroscience 148: 294-303.
16. Ikegaya Y, Matsumoto W, Chiou HY, Yuste R, Aaron G, (2008) Statistical significance of precisely repeated intracellular synaptic patterns. PLoS One 3: e3983.
17. Richmond BJ, (2009) Stochasticity, spikes and decoding: sufficiency and utility of order statistics. Biol Cybern 100: 447-457.
18. Bair W, Koch C, (1996) Temporal precision of spike trains in extrastriate cortex of the behaving macaque monkey. Neural Comput 8: 1185-1202.
19. Berry MJ, Meister M, (1998) Refractoriness and neural precision. J Neurosci 18: 2200-2211.
20. Buracas GT, Zador AM, DeWeese MR, Albright TD, (1998) Efficient discrimination of temporal patterns by motion-sensitive neurons in primate visual cortex. Neuron 20: 959-969.
21. Reinagel P, Reid RC, (2000) Temporal coding of visual information in the thalamus. J Neurosci 20: 5392-5400.
22. Lu T, Liang L, Wang X, (2001) Temporal and rate representations of time-varying signals in the auditory cortex of awake primates. Nat Neurosci 4: 1131-1138.
23. Reinagel P, Reid RC, (2002) Precise firing events are conserved across neurons. J Neurosci 22: 6837-6841.
24. Butts DA, Weng C, Jin J, Yeh CI, Lesica NA, et al. (2007) Temporal precision in the neural code and the timescales of natural vision. Nature 449: 92-95.
25. Desbordes G, Jin J, Weng C, Lesica NA, Stanley GB, et al. (2008) Timing precision in population coding of natural scenes in the early visual system. PLoS Biol 6: e324.
26. Haider B, Krause MR, Duque A, Yu YG, Touryan J, et al. (2010) Synaptic and network mechanisms of sparse and reliable visual cortical activity during nonclassical receptive field stimulation. Neuron 65: 107-121.
27. Gilson M, Burkitt AN, Grayden DB, Thomas DA, van Hemmen JL, (2009) Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. input selectivity-strengthening correlated input pathways. Biol Cybern 101: 81-102.
28. Brette R, (2009) Generation of correlated spike trains. Neural Comput 21: 188-215.
29. Turrigiano GG, (2008) The self-tuning neuron: Synaptic scaling of excitatory synapses. Cell 135: 422-435.
30. Bi G, Poo MM, (2001) Synaptic modification by correlated activity: Hebb's postulate revisited. Ann Rev Neurosci 24: 139-166.
31. Bi G, Poo M, (1998) Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type. J Neurosci 18: 10464-10472.
32. van Rossum MC, Bi GQ, Turrigiano GG, (2000) Stable hebbian learning from spike timing-dependent plasticity. J Neurosci 20: 8812-8821.
33. Gilson M, Burkitt AN, Grayden DB, Thomas DA, van Hemmen JL, (2010) Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks v: self-organization schemes and weight dependence. Biol Cybern 103: 365-386.
34. Haider B, Duque A, Hasenstaub AR, McCormick DA, (2006) Neocortical network activity in vivo is generated through a dynamic balance of excitation and inhibition. J Neurosci 26: 4535-4545.
35. Rudolph M, Pospischil M, Timofeev I, Destexhe A, (2007) Inhibition determines membrane potential dynamics and controls action potential generation in awake and sleeping cat cortex. J Neurosci 27: 5280-5290.
36. Sprekeler H, Michaelis C, Wiskott L, (2007) Slowness: an objective for spike-timing-dependent plasticity? PLoS Comput Biol 3: e112.
37. Masquelier T, Guyonneau R, Thorpe SJ, (2009) Competitive STDP-based spike pattern learning. Neural Comput 21: 1259-1276.
38. Masquelier T, Hugues E, Deco G, Thorpe SJ, (2009) Oscillations, phase-of-firing coding, and spike timing-dependent plasticity: an efficient learning scheme. J Neurosci 29: 13484-13493.
39. Kistler WM, van Hemmen JL, (2000) Modeling synaptic plasticity in conjunction with the timing of pre- and postsynaptic action potentials. Neural Comput 12: 385-405.
40. Billings G, van Rosum MCW, (2009) Memory retention and spike-timing-dependent plasticity. J Neurophysiol 101: 2775-2788.
41. Meffin H, Besson J, Burkitt AN, Grayden DB, (2006) Learning the structure of correlated synaptic subgroups using stable and competitive spike-timing-dependent plasticity. Physical Review E 73: 041911.
42. Tiesinga P, Fellous JM, Sejnowski TJ, (2008) Regulation of spike timing in visual cortical circuits. Nat Rev Neurosci 9: 97-107.
43. Softky WR, Koch C, (1993) The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. J Neurosci 13: 334-350.
44. Shadlen MN, Newsome WT, (1998) The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. J Neurosci 18: 3870-3896.
45. Johansson RS, Birznieks I, (2004) First spikes in ensembles of human tactile afferents code complex spatial fingertip events. Nat Neurosci 7: 170-177.
46. Chase SM, Young ED, (2007) First-spike latency information in single neurons increases when referenced to population onset. Proc Natl Acad Sci U S A 104: 5175-5180.
47. Gollisch T, Meister M, (2008) Rapid neural coding in the retina with relative spike latencies. Science 319: 1108-1111.
48. Panzeri S, Diamond ME, (2010) Information carried by population spike times in the whisker sensory cortex can be decoded without knowledge of stimulus time. Front Synaptic Neurosci 2: 1-14.
49. Sasaki Y, Nanez JE, Watanabe T, (2010) Advances in visual perceptual learning and plasticity. Nat Rev Neurosci 11: 53-60.
50. Gilson M, Burkitt AN, Grayden DB, Thomas DA, van Hemmen JL, (2009) Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV: Structuring synaptic pathways among recurrent connections. Biol Cybern 101: 427-444.
51. Nowotny T, Rabinovich MI, Abarbanel HDI, (2003) Spatial representation of temporal information through spike-timing-dependent plasticity. Phys Rev E 68: 011908.
52. Suri RE, Sejnowski TJ, (2002) Spike propagation synchronized by temporally asymmetric hebbian learning. Biol Cybern 87: 440-445.
53. Izhikevich EM, (2006) Polychronization: computation with spikes. Neural Comput 18: 245-282.
54. Morrison A, Aertsen A, Diesmann M, (2007) Spike-timing-dependent plasticity in balanced random networks. Neural Comput 19: 1437-1467.
55. Fiete IR, Senn W, Wang CZH, Hahnloser RHR, (2010) Spike-time-dependent plasticity and heterosynaptic competition organize networks to produce long scale-free sequences of neural activity. Neuron 65: 563-576.
56. Goodman D, Brette R, (2008) Brian: a simulator for spiking neural networks in python. Front Neuroinformatics 2: 5.