Information encoding and computation with spikes and bursts

Network: Computation in Neural Systems

Volumn 14, Issue 1, 2003, Pages 103-118

  Kepecs, Adam ^a   Lisman, John ^a  

^a BRANDEIS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; CELL COMMUNICATION; CELL MEMBRANE POTENTIAL; COMPARATIVE STUDY; COMPUTER SIMULATION; CONFERENCE PAPER; MATHEMATICAL COMPUTING; NERVE CELL; NERVE STIMULATION; OSCILLOMETRY; PHYSIOLOGY; SENSORY NERVE CONDUCTION; SIGNAL TRANSDUCTION; SIMULATION; SPIKE WAVE; STATISTICAL ANALYSIS; STATISTICS; SYNAPTIC TRANSMISSION; THEORETICAL MODEL; TIME;

COMPUTER SIMULATION; MEMBRANE POTENTIALS; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NEURONS; OSCILLOMETRY; PHYSIOLOGY; STOCHASTIC PROCESSES; SYNAPTIC TRANSMISSION; TIME FACTORS;

EID: 0347862714     PISSN: 0954898X     EISSN: None     Source Type: Journal    
DOI: 10.1088/0954-898X/14/1/306     Document Type: Conference Paper

References (54)

1. Abbott L F and Sejnowski T J 1999 Neural Coding and Distributed Representations (Cambridge, MA: MIT Press)
2. Agüera y Arcas B, Fairhall A L and Bialek W 2001 What can a single neuron compute? Advances in Neural Information Processing Systems vol 13, ed T K Leen, T G Dietterich and V Tresp (Cambridge, MA: MIT Press) pp 75-81
3. Azouz R, Jensen M S and Yaari Y 1996 Ionic basis of spike after-depolarization and burst generation in adult rat hippocampal CA1 pyramidal cells J. Physiol. 492 211-23
4. Bair W, Koch C, Newsome W and Britten K 1994 Power spectrum analysis of bursting cells in area MT in the behaving monkey J. Neurosci. 14 2870-92
5. Bastian J and Nguyenkim J 2001 Dendritic modulation of burst-like firing in sensory neurons J. Neurophys. 85 10-22
6. Berry M J and Meister M 1998 Refractoriness and neural precision J. Neurosci. 18 2200-11
7. Berry M J, Warland D K and Meister M 1997 The structure and precision of retinal spike trains Proc. Natl Acad. Sci. USA 94 5411-16
8. Binder M D, Poliakov A V and Powers R K 1999 Functional identification of the input-output transforms of mammalian motoneurones J. Physiol. 93 29-42
9. Brenner N, Bialek W and de Ruyter van Steveninck R R 2000 Adaptive rescaling maximizes information transmission Neuron 26 695-702
10. Brenner N, Strong P, Koberle R, Bialek W and de Ruyter van Steveninck R R 2000 Synergy in the neural code Neural Comput. 12 1531
11. Cattaneo A, Maffei L and Morrone C 1981 Two firing patterns in the discharge of complex cells encoding different attributes of the visual stimulus Exp. Brain Res. 43 115-18
12. Cauller L J, Clancy B and Connors B W 1998 Backward cortical projections to primary somatosensory cortex in rats extend long horizontal axons in layer I J. Comput. Neurol. 390 297-310
13. de Ruyter van Steveninck R and Bialek W 1988 Real-time performance of a movement-sensitive neuron in the blowfly visual system: coding and information transfer in short spike sequences Proc. R. Soc. B 234 379-414
14. Duda R O, Hart P E and Stork D G 2001 Pattern Classification (New York: Wiley)
15. Fries P, Neuenschwander S, Engel A K, Goebel R and Singer W 2001 Rapid feature selective neuronal synchronization through correlated latency shifting Nature Neurosci. 4 194-200
16. Frostig R D, Gottlieb Y, Vaadia E and Abeles M 1983 The effects of stimuli on the activity and functional connectivity of local neuronal groups in the cat auditory cortex Brain Res. 272 211-21
17. Fukunga K 1990 Introduction to Statistical Pattern Recognition (San Diego, CA: Academic)
18. Gabbiani F, Metzner W, Wessel R and Koch C 1996 From stimulus encoding to feature extraction in weakly electric fish Nature 386 564-7
19. Gray C M and Singer W 1989 Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex Proc. Natl Acad. Sci. USA 86 1698-702
20. Haag J and Borst A 1998 Active membrane properties and signal encoding in graded potential neurons J. Neurosci. 18 7972-86
21. Harris K D, Hirase H, Leinekugel X, Henze D A and Buzsáki G 2001 Temporal interaction between single spikes and complex spike bursts in hippocampal pyramidal cells Neuron 32 141-9
22. Hodgkin A L and Huxley A F 1952 A quantitative description of membrane current and its application to conduction and excitation in nerve J. Physiol. 117 500-44
23. Kamondi A, Acsády L, Wang X-J and Buzsáki Gy 1998 Theta oscillations in somata and dendrites of hippocampal pyramidal cells in vivo: activity-dependent phase-precession of action potentials Hippocampus 8 244-60
24. Kepecs A and Wang X-J 2000 Analysis of complex bursting in cortical pyramidal neuron models Neurocomputing 32 181-7
25. Kepecs A, Wang X J and Lisman J 2002 Bursting neurons signal input slope J. Neurosci. 22 9053-62
26. Kistler W, Gerstner W and van Hemmen J L 1997 Reduction of Hodgkin-Huxley equations to a threshold model Neural Comput. 9 1069-100
27. Larkum M E, Zhu J J and Sakmann B 1999 A new cellular mechanism for coupling input arriving at different cortical layers Nature 398 338-41
28. Lisman J E 1997 Bursts as units of neural information Trends Neurosci. 20 38-41
29. Livingstone M S, Freeman D C and Hubel D H 1996 Visual responses in V1 of freely viewing monkeys Cold Spring Harbor Symp. Quant. Biol. 61 27-37
30. Magee J C and Carruth M 1999 Dendritic voltage-gated ion channels regulate the action potential firing mode of hippocampal CA1 pyramidal neurons J. Neurophysiol. 82 1895-901
31. Mainen Z F and Sejnowski T F 1996 Influence of dendritic structure on firing pattern in model neocortical neurons Nature 382 363-6
32. Manwani A and Koch C 1999 Detecting and estimating signals in noisy cable structures II: Information theoretical analysis Neural Comput. 11 1831-73
33. Mel B W 1994 Information processing in dendritic trees Neural Comput. 6 1031-85
34. Metzner W, Koch C, Wessel R and Gabbiani F 1998 Feature extraction by burst-like spike patterns in multiple sensory maps J. Neurosci. 18 2283-300
35. Molden S, Fyhn M, Hollup S A, Moser M-B and Moser E I 2001 Place correlates of complex spikes in CA1 pyramidal cells Soc. Neuro. Abstr. 32 643.4
36. Otto T, Eichenbaum H, Wiener S I and Wible C G 1991 Learning-related patterns of CA1 spike trains parallel stimulation parameters optimal for inducing hippocampal long-term potentiation Hippocampus 1 181-92
37. Ovied H and Reyes A D 2002 Boosting of neuronal firing evoked with asynchronous and synchronous inputs to the dendrite Nature Neurosci. 5 261-6
38. Pinsky P F and Rinzel J 1994 Intrinsic and network rhythmogenesis in a reduced traub model for CA3 neurons J. Comput. Neurosci. 1 39-60
39. Reich D S, Mechler F, Purpura K P and Victor J D 2000 Interspike intervals, receptive fields, and information encoding in primary visual cortex J. Neurosci. 20 1964
40. Reich D S, Victor J and Kaplan E 1997 Response variability and timing precision of neuronal spike trains in vivo J. Neurophys. 77 2836
41. Reinagel P, Godwin D, Sherman S M and Koch C 1999 Encoding of visual information by LGN bursts J. Neurophysiol. 81 2558-69
42. Reinagel P and Reid R C 2000 Temporal coding of visual information in the thalamus J. Neurosci. 20 5392
43. Rinzel J 1987 Morphogenesis and Neuroscience (Springer Mathematical Topics in Population Biology) (Berlin: Springer)
44. Schneidman E, Freedman B and Segev I 1998 Ion channel stochasticity may be critical in determining the reliability and precision of spike timing Neural Comput. 10 1679-703
45. Schwartz O, Chichilnisky E J and Simoncelli E 2002 Characterizing neural gain control using spike-triggered covariance Advances in Neural Information Processing Systems vol 14, ed T G Dietterich, S Becker and Z Ghahramani (Cambridge, MA: MIT Press)
46. Shadlen M N and Newsome W T 1994 Noise, neural codes and cortical organization Curr. Opin. Neurobiol. 4 569-79
47. Sherman S M 2001 Tonic and burst firing: dual modes of thalamocortical relay Trends Neurosci. 24 122-6
48. Silva L R, Amitai Y and Connors B W 1991 Intrinsic oscillations of neocortex generated by layer 5 pyramidal neurons Science 251 432-5
49. Softky W 1994 Sub-millisecond coincidence detection in active dendritic trees Neuroscience 58 13-41
50. Stevens C and Zador A 1996 Information through a spiking neuron Advances in Information Processing Systems vol 8, ed Touretzky, Mozer and Hasselmo (Cambridge, MA: MIT Press)
51. Traub R D, Wong R K S, Miles R and Michelson H 1991 A model of a CA3 hippocampal pyramidal neuron incorporating voltage-clamp data on intrinsic conductances J. Neurophysiol. 66 635-50
52. Troyer T W and Miller K D 1997 Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell Neural Comput. 9 971-83
53. Turner R W, Maler L, Deerinck T, Levinson S R and Ellisman M H 1994 TTX-sensitive dendritic sodium channels underlie oscillatory discharge in a vertebrate sensory neuron J. Neurosci. 14 6453-71
54. Vaadia E and Abeles M 1987 Temporal firing patterns of single units, pairs and triplets of units in the auditory cortex Isr. J. Med. Sci. 23 75-83