Integrated mechanisms of anticipation and rate-of-change computations in cortical circuits

PLoS Computational Biology

Volumn 3, Issue 5, 2007, Pages 0813-0825

  Puccini, Gabriel D ^a   Sanchez Vives, Maria V ^a   Compte, Albert ^a,b  

^a MIGUEL HERNÁNDEZ UNIVERSITY   (Spain)

^b INSTITUT D INVESTIGACIONS BIOMÈDIQUES AUGUST PI I SUNYER IDIBAPS   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; NEURONS; TIMING CIRCUITS;

CELLULARS; COMPUTATIONAL OPERATIONS; CORTICAL MICROCIRCUITS; INTRINSIC PROPERTY; NEURONAL CONNECTIVITY; PHYSIOLOGICAL FEATURES; RATE OF CHANGE; STRUCTURAL FEATURE; SYNAPTIC INPUT; SYNAPTIC PLASTICITY;

MACHINERY;

ADAPTATION; ARTICLE; BRAIN CORTEX; BRAIN DEPTH RECORDING; BRAIN FUNCTION; BRAIN NERVE CELL; COMPUTER SIMULATION; LONG TERM DEPRESSION; MATHEMATICAL COMPUTING; NERVE CELL NETWORK; NEUROPHYSIOLOGY; SPIKE WAVE; STIMULUS RESPONSE; SYNAPTIC TRANSMISSION; VISUAL CORTEX; ACTION POTENTIAL; ATTENTION; BIOLOGICAL MODEL; EVOKED VISUAL RESPONSE; HUMAN; MOVEMENT PERCEPTION; NERVE CELL PLASTICITY; PHYSIOLOGY; SENSORY NERVE CELL; SYSTEM ANALYSIS;

ACTION POTENTIALS; ATTENTION; EVOKED POTENTIALS, VISUAL; HUMANS; MODELS, NEUROLOGICAL; MOTION PERCEPTION; NERVE NET; NEURONAL PLASTICITY; NEURONS, AFFERENT; SYSTEMS INTEGRATION; VISUAL CORTEX;

EID: 34249691212     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.0030082     Document Type: Article

References (55)

1. Callaway EM (1998) Local circuits in primary visual cortex of the macaque monkey. Annu Rev Neurosci 21: 47-74.
2. Kozloski J, Hamzei-Sichani F, Yuste R (2001) Stereotyped position of local synaptic targets in neocortex. Science 293: 868-872.
3. Silberberg G, Gupta A, Markram H (2002) Stereotypy in neocortical microcircuits. Trends Neurosci 25: 227-230.
4. Douglas RJ, Martin KAC (2004) Neuronal circuits of the neocortex. Annu Rev Neurosci 27: 419-451.
5. Callaway EM (2004) Feedforward, feedback and inhibitory connections in primate visual cortex. Neural Netw 17: 625-632.
6. Wyss R, Konig P, Verschure PF (2006) A model of the ventral visual system based on temporal stability and local memory. PLoS Biol 4: e120. doi:10. 1371/journal.pbio.0040120
7. Abbott LF, Varela JA, Sen K, Nelson SB (1997) Synaptic depression and cortical gain control. Science 275: 220-224.
8. McCormick DA, Connors BW, Lighthall JW, Prince DA (1985) Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex. J Neurophysiol 54: 782-806.
9. Wang XJ (1998) Calcium coding and adaptive temporal computation in cortical pyramidal neurons. J Neurophysiol 79: 1549-1566.
10. Thomson AM, Deuchars J, West DC (1993) Large, deep layer pyramid-pyramid single axon EPSPs in slices of rat motor cortex display paired pulse and frequency-dependent depression, mediated presynaptically and self-facilitation, mediated postsynaptically. J Neurophysiol 70: 2354-2369.
11. Markram H, Wang Y, Tsodyks M (1998) Differential signaling via the same axon of neocortical pyramidal neurons. Proc Natl Acad Sci U S A 95: 5323-5328.
12. Chance FS, Nelson SB, Abbott LF (1998) Synaptic depression and the temporal response characteristics of V1 cells. J Neurosci 18: 4785-4799.
13. Sanchez-Vives MV, Nowak LG, McCormick DA (2000) Membrane mechanisms underlying contrast adaptation in cat area 17 in vivo. J Neurosci 20: 4267-4285.
14. Fuhrmann G, Markram H, Tsodyks M (2002) Spike frequency adaptation and neocortical rhythms. J Neurophysiol 88: 761-770.
15. Wang XJ, Liu Y, Sanchez-Vives MV, McCormick DA (2003) Adaptation and temporal decorrelation by single neurons in the primary visual cortex. J Neurophysiol 89: 3279-3293.
16. Abbott LF, Regehr WG (2004) Synaptic computation. Nature 431: 796-803.
17. Grande LA, Spain WJ (2005) Synaptic depression as a timing device. Physiology (Bethesda) 20: 201-210.
18. Puccini GD, Sanchez-Vives MV, Compte A (2006) Selective detection of abrupt input changes by integration of spike-frequency adaptation and synaptic depression in a computational network model. J Physiol Paris 100: 1-15.
19. Neuhauser C (2003) Calculus for biology and medicine. Upper Saddle River (New Jersey): Prentice Hall. 822 p.
20. Pellionisz A, Llinas R (1979) Brain modeling by tensor network theory and computer simulation. The cerebellum: Distributed processor for predictive coordination. Neuroscience 4: 323-348.
21. Jancke D, Erlhagen W, Schoner G, Dinse HR (2004) Shorter latencies for motion trajectories than for flashes in population responses of cat primary visual cortex. J Physiol 556: 971-982.
22. Amit DJ, Tsodyks MV (1991) Quantitative study of attractor neural network retrieving at low spike rates. I. Substrate spikes, rates and neuronal gain. Network: Comput Neural Sys 2: 259-273.
23. Tsodyks M, Pawelzik K, Markram H (1998) Neural networks with dynamic synapses. Neural Comput 10: 821-835.
24. Movshon JA, Thompson ID, Tolhurst DJ (1978) Spatial and temporal contrast sensitivity of neurones in areas 17 and 18 of the cat's visual cortex. J Physiol 283: 101-120.
25. Nijhawan R (1994) Motion extrapolation in catching. Nature 370: 256-257.
26. Nijhawan R (2002) Neural delays, visual motion and the flash-lag effect. Trends Cogn Sci 6: 387.
27. Berry MJ Jr, Brivanlou IH, Jordan TA, Meister M (1999) Anticipation of moving stimuli by the retina. Nature 398: 334-338.
28. Krekelberg B, Lappe M (2001) Neuronal latencies and the position of moving objects. Trends Neurosci 24: 335-339.
29. Fourcaud-Trocmé N, Hansel D, van Vreeswijk C, Brunel N (2003) How spike generation mechanisms determine the neuronal response to fluctuating inputs. J Neurosci 23: 11628-11640.
30. Finlayson PG, Cynader MS (1995) Synaptic depression in visual cortex tissue slices: An in vitro model for cortical neuron adaptation. Exp Brain Res 106: 145-155.
31. Yi TM, Huang Y, Simon MI, Doyle J (2000) Robust perfect adaptation in bacterial chemotaxis through integral feedback control. Proc Nat Acad Sci U S A 406: 188-192.
32. Renart A, Song P, Wang XJ (2003) Robust spatial working memory through homeostatic synaptic scaling in heterogeneous cortical networks. Neuron 38: 473-485.
33. Renart A, Wang XJ (2004) A robust biophysical mechanism for scalar timing through derivative feedback [abstract]. Proceedings of the Society for Neuroscience Program Number 768.18. 34th Annual Meeting of the Society for Neuroscience; 23-27 October 2004; San Diego, California, United States. Available: http://sfn.scholarone.com/itin2004/. Accessed 10 April 2007.
34. HolsteinGR, Rabbitt RD, Martinelli GP, Friedrich VLJ, Boyle RD, et al. (2004) Convergence of excitatory and inhibitory hair cell transmitters shapes vestibular afferent responses. Proc Natl Acad Sci U S A 101: 15766-15771.
35. Angelaki DE, Shaikh AG, Green AM, Dickman JD (2004) Neurons compute internal models of the physical laws of motion. Nature 430: 560-564.
36. Shaikh AG, Green AM, Ghasia FF, Newlands SD, Dickman JD, et al. (2005) Sensory convergence solves a motion ambiguity problem. Curr Biol 15: 1657-1662.
37. Romo R, Brody CD, Hernandez A, Lemus L (1999) Neuronal correlates of parametric working memory in the prefrontal cortex. Nature 399: 470-473.
38. Miller P, Brody CD, Romo R, Wang XJ (2003) A recurrent network model of somatosensory parametric working memory in the prefrontal cortex. Cereb Cortex 13: 1208-1218.
39. Gilbert CD (1983) Microcircuitry of the visual cortex. Annu Rev Neurosci 6: 217-247.
40. Rao RP, Ballard DH (1999) Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive-field effects. Nat Neurosci 2: 79-87.
41. Mehta MR (2001) Neuronal dynamics of predictive coding. Neuroscientist 7: 490-495.
42. Legenstein R, Markram H, Maass W (2003) Input prediction and autonomous movement analysis in recurrent circuits of spiking neurons. Rev Neurosci 14: 5-19.
43. Shon AP, Rao RPN, Sejnowski TJ (2004) Motion detection and prediction through spike-timing dependent plasticity. Network 15: 179-198.
44. Hosoya T, Baccus SA, Meister M (2005) Dynamic predictive coding by the retina. Nature 436: 71-77.
45. Wolpert DM, Ghahramani Z (2000) Computational principles of movement neuroscience. Nat Neurosci 3: 1212-1217.
46. Wolpert DM, Flanagan JR (2001) Motor prediction. Curr Biol 11: 729-732.
47. Lennie P (1981) The physiological basis of variations in visual latency. Vision Res 21: 815-824.
48. Schmolesky MT, Wang Y, Hanes DP, Thompson KG, Leutgeb S, et al. (1998) Signal timing across the macaque visual system. J Neurophysiol 79: 3272-3278.
49. Eagleman DM, Sejnowski TJ (2000) Motion integration and postdiction in visual awareness. Science 287: 2036-2038. Comment.
50. Kerzel D, Gegenfurtner KR (2003) Neuronal processing delays are compensated in the sensorimotor branch of the visual system. Curr Biol 13: 1975-1978.
51. Orban GA, Hoffmann KP, Duysens J (1985) Velocity selectivity in the cat visual system. I. Responses of LGN cells to moving bar stimuli: A comparison with cortical areas 17 and 18. J Neurophysiol 54: 1026-1049.
52. Sheth BR, Nijhawan R, Shimojo S (2000) Changing objects lead briefly flashed ones. Nat Neurosci 3: 489-495.
53. Alais D, Burr D (2003) The "Flash-Lag" effect occurs in audition and crossmodally. Curr Biol 13: 59-63.
54. Sanchez-Vives MV, Nowak LG, McCormick DA (2000) Cellular mechanisms of long-lasting adaptation in visual cortical neurons in vitro. J Neurosci 20: 4286-4299.
55. Reig R, Gallego R, Nowak LG, Sanchez-Vives MV (2006) Impact of cortical network activity on short-term synaptic depression. Cereb Cortex 16: 688-695. doi:10.1093/cercor/bhj014