메뉴 건너뛰기




Volumn 59, Issue 2, 2009, Pages 147-173

A stimulus-dependent connectivity analysis of neuronal networks

Author keywords

Causality; Correlations; Neural networks; Penalized likelihood

Indexed keywords

ACTION POTENTIAL; ALGORITHM; ANIMAL; ARTICLE; BIOLOGICAL MODEL; COMPUTER SIMULATION; HUMAN; NERVE CELL; NERVE CELL NETWORK; PHOTOSTIMULATION; PHYSIOLOGY; ROC CURVE; STATISTICAL MODEL;

EID: 67650938454     PISSN: 03036812     EISSN: 14321416     Source Type: Journal    
DOI: 10.1007/s00285-008-0224-9     Document Type: Article
Times cited : (4)

References (27)
  • 1
    • 0024599599 scopus 로고
    • Dynamics of neuronal firing correlation: Modulation of "effective connectivity"
    • AMHJ Aertsen GL Gerstein MK Habib G Palm 1989 Dynamics of neuronal firing correlation: Modulation of "effective connectivity" J Neurophysiol 61 900 917
    • (1989) J Neurophysiol , vol.61 , pp. 900-917
    • Amhj, A.1    Gerstein, G.L.2    Habib, M.K.3    Palm, G.4
  • 2
    • 0035377249 scopus 로고    scopus 로고
    • Partial directed coherence: A new concept in neural structure determination
    • LA Baccalá K Sameshima 2001 Partial directed coherence: a new concept in neural structure determination Biol Cybern 84 463 474
    • (2001) Biol Cybern , vol.84 , pp. 463-474
    • Baccalá, L.A.1    Sameshima, K.2
  • 4
    • 2142765521 scopus 로고    scopus 로고
    • Multiple neural spike train data analysis: State-of-the-art and future challenges
    • EN Brown RE Kass PP Mitra 2004 Multiple neural spike train data analysis: state-of-the-art and future challenges Nat Neurosci 7 456 461
    • (2004) Nat Neurosci , vol.7 , pp. 456-461
    • Brown, E.N.1    Kass, R.E.2    Mitra, P.P.3
  • 5
    • 0023688346 scopus 로고
    • Maximum likelihood identification of neural point process systems
    • ES Chornoboy LP Schramm AF Karr 1988 Maximum likelihood identification of neural point process systems Biol Cybern 59 265 275
    • (1988) Biol Cybern , vol.59 , pp. 265-275
    • Chornoboy, E.S.1    Schramm, L.P.2    Karr, A.F.3
  • 6
    • 0000351727 scopus 로고
    • Investigating causal relations by econometric models and cross-spectral methods
    • CWJ Granger 1969 Investigating causal relations by econometric models and cross-spectral methods Econometrica 37 424 438
    • (1969) Econometrica , vol.37 , pp. 424-438
    • Granger, C.W.J.1
  • 8
    • 0034972776 scopus 로고    scopus 로고
    • Predicting every spike: A model for the responses of visual neurons
    • J Keat P Reinagel RC Reid M Meister 2001 Predicting every spike: a model for the responses of visual neurons Neuron 30 803 817
    • (2001) Neuron , vol.30 , pp. 803-817
    • Keat, J.1    Reinagel, P.2    Reid, R.C.3    Meister, M.4
  • 9
    • 35448977149 scopus 로고    scopus 로고
    • Common-input models for multiple neural spike-train data
    • JE Kulkarni L Paninski 2007 Common-input models for multiple neural spike-train data Network Comput Neural Syst 18 375 407
    • (2007) Network Comput Neural Syst , vol.18 , pp. 375-407
    • Kulkarni, J.E.1    Paninski, L.2
  • 10
    • 0034324119 scopus 로고    scopus 로고
    • Neural coding: Higher-order temporal patterns in the neurostatistics of cell assemblies
    • L Martignon G Deco K Laskey M Diamond W Freiwald E Vaadia 2000 Neural coding: higher-order temporal patterns in the neurostatistics of cell assemblies Neural Comp 12 2621 2653
    • (2000) Neural Comp , vol.12 , pp. 2621-2653
    • Martignon, L.1    Deco, G.2    Laskey, K.3    Diamond, M.4    Freiwald, W.5    Vaadia, E.6
  • 12
    • 29144507409 scopus 로고    scopus 로고
    • Revealing pairwise coupling in linear-nonlinear networks
    • DQ Nykamp 2005 Revealing pairwise coupling in linear-nonlinear networks SIAM J Appl Math 65 2005 2032
    • (2005) SIAM J Appl Math , vol.65 , pp. 2005-2032
    • Nykamp, D.Q.1
  • 13
    • 33845459534 scopus 로고    scopus 로고
    • A mathematical framework for inferring connectivity in probabilistic neuronal networks
    • DQ Nykamp 2007 A mathematical framework for inferring connectivity in probabilistic neuronal networks Math Biosci 205 204 251
    • (2007) Math Biosci , vol.205 , pp. 204-251
    • Nykamp, D.Q.1
  • 14
    • 42549170121 scopus 로고    scopus 로고
    • Exploiting history-dependent effects to infer network connectivity
    • DQ Nykamp 2007 Exploiting history-dependent effects to infer network connectivity SIAM J Appl Math 68 354 391
    • (2007) SIAM J Appl Math , vol.68 , pp. 354-391
    • Nykamp, D.Q.1
  • 15
    • 49449100663 scopus 로고    scopus 로고
    • Pinpointing connectivity despite hidden nodes within stimulus-driven networks
    • DQ Nykamp 2008 Pinpointing connectivity despite hidden nodes within stimulus-driven networks Phys Rev E 78 021902
    • (2008) Phys Rev e , vol.78 , pp. 021902
    • Nykamp, D.Q.1
  • 16
    • 23044490853 scopus 로고    scopus 로고
    • Analyzing functional connectivity using a network likelihood model of ensemble neural spiking activity
    • M Okatan MA Wilson EN Brown 2005 Analyzing functional connectivity using a network likelihood model of ensemble neural spiking activity Neural Comp 17 1927 1961
    • (2005) Neural Comp , vol.17 , pp. 1927-1961
    • Okatan, M.1    Wilson, M.A.2    Brown, E.N.3
  • 17
    • 0023897920 scopus 로고
    • On the significance of correlations among neuronal spike trains
    • G Palm AMHJ Aertsen GL Gerstein 1988 On the significance of correlations among neuronal spike trains Biol Cybern 59 1 11
    • (1988) Biol Cybern , vol.59 , pp. 1-11
    • Palm, G.1    Amhj, A.2    Gerstein, G.L.3
  • 18
    • 9744274025 scopus 로고    scopus 로고
    • Maximum likelihood estimation of cascade point-process neural encoding models
    • L Paninski 2004 Maximum likelihood estimation of cascade point-process neural encoding models Network Comput Neural Syst 15 243 262
    • (2004) Network Comput Neural Syst , vol.15 , pp. 243-262
    • Paninski, L.1
  • 19
    • 9744239998 scopus 로고    scopus 로고
    • Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model
    • L Paninski JW Pillow EP Simoncelli 2004 Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model Neural Comp 16 2533 2561
    • (2004) Neural Comp , vol.16 , pp. 2533-2561
    • Paninski, L.1    Pillow, J.W.2    Simoncelli, E.P.3
  • 20
    • 0014104894 scopus 로고
    • Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains
    • DH Perkel GL Gerstein GP Moore 1967 Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains Biophys J 7 419 440
    • (1967) Biophys J , vol.7 , pp. 419-440
    • Perkel, D.H.1    Gerstein, G.L.2    Moore, G.P.3
  • 22
    • 0032716863 scopus 로고    scopus 로고
    • Using partial directed coherence to describe neuronal ensemble interactions
    • K Sameshima LA Baccalá 1999 Using partial directed coherence to describe neuronal ensemble interactions J Neurosci Methods 94 93 103
    • (1999) J Neurosci Methods , vol.94 , pp. 93-103
    • Sameshima, K.1    Baccalá, L.A.2
  • 25
    • 11844297827 scopus 로고    scopus 로고
    • The correlation grid: Analysis of synchronous spiking in multi-dimensional spike train data and identification of feasible connection architectures
    • L Stuart M Walter R Borisyuk 2005 The correlation grid: analysis of synchronous spiking in multi-dimensional spike train data and identification of feasible connection architectures Biosystems 79 223 234
    • (2005) Biosystems , vol.79 , pp. 223-234
    • Stuart, L.1    Walter, M.2    Borisyuk, R.3
  • 27
    • 12544253489 scopus 로고    scopus 로고
    • A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects
    • W Truccolo UT Eden MR Fellows JP Donoghue EN Brown 2005 A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects J Neurophysiol 93 1074 1089
    • (2005) J Neurophysiol , vol.93 , pp. 1074-1089
    • Truccolo, W.1    Eden, U.T.2    Fellows, M.R.3    Donoghue, J.P.4    Brown, E.N.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.