메뉴 건너뛰기




Volumn 22, Issue 6, 2010, Pages 1445-1467

General poisson exact breakdown of the mutual information to study the role of correlations in populations of Neurons

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN; COMPUTER SIMULATION; MATHEMATICAL PHENOMENA; NERVE CELL; NERVE CELL NETWORK; PHYSIOLOGY; POISSON DISTRIBUTION; RAT; SIGNAL PROCESSING; SOMATOSENSORY CORTEX;

EID: 77953487293     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2010.04-09-989     Document Type: Article
Times cited : (5)

References (22)
  • 1
    • 0033334496 scopus 로고    scopus 로고
    • Information theory and neural coding
    • Borst, A., & Theunissen, F. E. (1999). Information theory and neural coding. Nat. Neurosci., 2(11), 947-957
    • (1999) Nat. Neurosci. , vol.2 , Issue.11 , pp. 947-957
    • Borst, A.1    Theunissen, F.E.2
  • 4
    • 53949096562 scopus 로고    scopus 로고
    • Computational role of large receptive fields in the primary somatosensory cortex
    • Foffani, G.,Chapin, J. K.,&Moxon, K. A. (2008).Computational role of large receptive fields in the primary somatosensory cortex. J. Neurophysiol., 100(1), 268-280.
    • (2008) J. Neurophysiol. , vol.100 , Issue.1 , pp. 268-280
    • Foffani, G.1    Chapin, J.K.2    Moxon, K.A.3
  • 5
    • 1542723013 scopus 로고    scopus 로고
    • PSTH-based classification of sensory stimuli using ensembles of single neurons
    • Foffani, G., & Moxon, K. A. (2004). PSTH-based classification of sensory stimuli using ensembles of single neurons. J. Neurosci. Methods, 135(1-2), 107-120.
    • (2004) J. Neurosci. Methods , vol.135 , Issue.1-2 , pp. 107-120
    • Foffani, G.1    Moxon, K.A.2
  • 6
    • 19544382559 scopus 로고    scopus 로고
    • Synergy, redundancy, and independence in population codes, revisited
    • Latham, P. E., & Nirenberg, S. (2005). Synergy, redundancy, and independence in population codes, revisited. J. Neurosci., 25(21), 5195-5206.
    • (2005) J. Neurosci. , vol.25 , Issue.21 , pp. 5195-5206
    • Latham, P.E.1    Nirenberg, S.2
  • 7
    • 68649122865 scopus 로고    scopus 로고
    • A toolbox for the fast information analysis of multiple-site LFP, EEG and spike train recordings
    • Magri, C., Whittingstall, K., Singh, V., Logothetis, N. K., & Panzeri, S. (2009). A toolbox for the fast information analysis of multiple-site LFP, EEG and spike train recordings. BMC Neuroscience, 10(81).
    • (2009) BMC Neuroscience , vol.10 , Issue.81
    • Magri, C.1    Whittingstall, K.2    Singh, V.3    Logothetis, N.K.4    Panzeri, S.5
  • 8
    • 36248960534 scopus 로고    scopus 로고
    • Tight data-robust bounds to mutual information combining shuffling and model selection techniques
    • Montemurro, M. A., Senatore, R., & Panzeri, S. (2007). Tight data-robust bounds to mutual information combining shuffling and model selection techniques. Neural Comput., 19(11), 2913-2957.
    • (2007) Neural Comput. , vol.19 , Issue.11 , pp. 2913-2957
    • Montemurro, M.A.1    Senatore, R.2    Panzeri, S.3
  • 9
    • 0037866386 scopus 로고    scopus 로고
    • Decoding neuronal spike trains: How important are correlations?
    • Nirenberg, S.,&Latham, P. E. (2003).Decoding neuronal spike trains:How important are correlations? Proc. Natl. Acad. Sci. U.S.A., 100(12), 7348-7353.
    • (2003) Proc Natl. Acad. Sci. U. S. A. , vol.100 , Issue.12 , pp. 7348-7353
    • Nirenberg, S.1    Latham, P.E.2
  • 10
    • 0035052392 scopus 로고    scopus 로고
    • The role of spike timing in the coding of stimulus location in rat somatosensory cortex
    • Panzeri, S., Petersen, R. S., Schultz, S. R., Lebedev, M., & Diamond, M. E. (2001). The role of spike timing in the coding of stimulus location in rat somatosensory cortex. Neuron, 29(3), 769-777.
    • (2001) Neuron , vol.29 , Issue.3 , pp. 769-777
    • Panzeri, S.1    Petersen, R.S.2    Schultz, S.R.3    Lebedev, M.4    Diamond, M.E.5
  • 11
    • 0035374404 scopus 로고    scopus 로고
    • A unified approach to the study of temporal, correlational, and rate coding
    • Panzeri, S., & Schultz, S. R. (2001). A unified approach to the study of temporal, correlational, and rate coding. Neural Computation, 13(6), 1311-1349.
    • (2001) Neural Computation , vol.13 , Issue.6 , pp. 1311-1349
    • Panzeri, S.1    Schultz, S.R.2
  • 13
    • 34548790687 scopus 로고    scopus 로고
    • Correcting for the sampling bias problem in spike train information measures
    • Panzeri, S., Senatore, R.,Montemurro,M. A., & Petersen, R. S. (2007). Correcting for the sampling bias problem in spike train information measures. J. Neurophysiol., 98(3), 1064-1072.
    • (2007) J. Neurophysiol. , vol.98 , Issue.3 , pp. 1064-1072
    • Panzeri, S.1    Senatore, R.2    Montemurro, M.A.3    Petersen, R.S.4
  • 14
    • 0035829717 scopus 로고    scopus 로고
    • Population coding of stimulus location in rat somatosensory cortex
    • Petersen, R. S., Panzeri, S., & Diamond, M. E. (2001). Population coding of stimulus location in rat somatosensory cortex. Neuron, 32(3), 503-514.
    • (2001) Neuron , vol.32 , Issue.3 , pp. 503-514
    • Petersen, R.S.1    Panzeri, S.2    Diamond, M.E.3
  • 15
    • 22944447128 scopus 로고    scopus 로고
    • Data-robust tight lower bounds to the information carried by spike times of a neuronal population
    • Pola,G., Petersen, R. S., Thiele, A.,Young,M. P.,&Panzeri, S. (2005).Data-robust tight lower bounds to the information carried by spike times of a neuronal population. Neural Computation, 17(9), 1962-2005.
    • (2005) Neural Computation , vol.17 , Issue.9 , pp. 1962-2005
    • Pola, G.1    Petersen, R.S.2    Thiele, A.3    Young, M.P.4    Panzeri, S.5
  • 16
    • 0347423196 scopus 로고    scopus 로고
    • An exact method to quantify the information transmitted by different mechanisms of correlational coding
    • Pola, G., Thiele, A., Hoffmann, K. P., & Panzeri, S. (2003). An exact method to quantify the information transmitted by different mechanisms of correlational coding. Network-Computation in Neural Systems, 14(1), 35-60.
    • (2003) Network-Computation in Neural Systems , vol.14 , Issue.1 , pp. 35-60
    • Pola, G.1    Thiele, A.2    Hoffmann, K.P.3    Panzeri, S.4
  • 17
    • 60549113334 scopus 로고    scopus 로고
    • Extracting information from neuronal populations: Information theory and decoding approaches
    • Quian Quiroga, R., & Panzeri, S. (2009). Extracting information from neuronal populations: Information theory and decoding approaches. Nat. Rev. Neurosci., 10(3), 173-185.
    • (2009) Nat. Rev. Neurosci. , vol.10 , Issue.3 , pp. 173-185
    • Quian Quiroga, R.1    Panzeri, S.2
  • 19
    • 55749106358 scopus 로고    scopus 로고
    • Mutual information expansion for studying the role of correlations in population codes: How important are autocorrelations?
    • Scaglione, A., Foffani, G., Scannella, G., Cerutti, S., & Moxon, K. A. (2008). Mutual information expansion for studying the role of correlations in population codes: How important are autocorrelations? Neural Comput., 20(11), 2662-2695.
    • (2008) Neural Comput. , vol.20 , Issue.11 , pp. 2662-2695
    • Scaglione, A.1    Foffani, G.2    Scannella, G.3    Cerutti, S.4    Moxon, K.A.5
  • 20
    • 0347064157 scopus 로고    scopus 로고
    • Synergy, redundancy, and independence in population codes
    • Schneidman, E., Bialek, W., & Berry, M. J., II. (2003). Synergy, redundancy, and independence in population codes. J. Neurosci., 23(37), 11539-11553.
    • (2003) J. Neurosci. , vol.23 , Issue.37 , pp. 11539-11553
    • Schneidman, E.1    Bialek, W.2    Berry, M.J.3
  • 21
    • 84856043672 scopus 로고
    • Amathematical theory of communication
    • Shannon, C. E. (1948).Amathematical theory of communication. Bell System Technical Journal, 27, 379-423.
    • (1948) Bell System Technical Journal , vol.27 , pp. 379-423
    • Shannon, C.E.1
  • 22
    • 33646885919 scopus 로고    scopus 로고
    • Structure of the excitatory receptive fields of infragranular forelimb neurons in the rat primary somatosensory cortex responding to touch
    • Tutunculer, B., Foffani, G., Himes, B. T., & Moxon, K. A. (2006). Structure of the excitatory receptive fields of infragranular forelimb neurons in the rat primary somatosensory cortex responding to touch. Cereb. Cortex, 16(6), 791-810.
    • (2006) Cereb. Cortex , vol.16 , Issue.6 , pp. 791-810
    • Tutunculer, B.1    Foffani, G.2    Himes, B.T.3    Moxon, K.A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.