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1 | (7) |
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7 | (1) |
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8 | (36) |
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8 | (3) |
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2.2 Electrochemistry at electrodes |
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11 | (12) |
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23 | (10) |
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2.4 Reactions and processes at implanted electrodes |
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33 | (1) |
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2.5 Amplifiers and filters for extracellular and intracellular recording |
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34 | (7) |
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41 | (3) |
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41 | (3) |
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3 Intracellular recording |
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44 | (48) |
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44 | (7) |
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3.2 Recording the membrane potential |
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51 | (16) |
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67 | (9) |
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3.4 Recording conductances |
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76 | (11) |
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87 | (5) |
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88 | (4) |
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4 Extracellular spikes and CSD |
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92 | (44) |
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92 | (2) |
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4.2 Biophysical origin of extracellular potentials |
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94 | (6) |
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4.3 Local field potential (LFP) from a single neuron |
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100 | (7) |
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4.4 Extracellular signatures of action potentials |
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107 | (11) |
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4.5 Extracellular potentials from columnar population activity |
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118 | (5) |
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4.6 Estimation of current source density (CSD) from LFP |
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123 | (7) |
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130 | (6) |
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130 | (6) |
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136 | (56) |
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136 | (3) |
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5.2 Modeling LFPs in resistive media |
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139 | (3) |
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5.3 Modeling LFPs in non-resistive media: general theory |
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142 | (7) |
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5.4 Modeling LFPs in non-resistive media: the continuum model |
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149 | (11) |
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5.5 Modeling LFPs in non-resistive media: the polarization model |
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160 | (11) |
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5.6 Modeling LFPs in non-resistive media: the diffusion model |
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171 | (4) |
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5.7 Synthesis of the different models |
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175 | (4) |
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5.8 Application of non-resistive LFP models to experimental data |
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179 | (5) |
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184 | (8) |
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188 | (4) |
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6 EEG and MEG: forward modeling |
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192 | (65) |
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192 | (1) |
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6.2 The current dipole model and the quasi-static approximation |
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193 | (12) |
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205 | (16) |
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6.4 The boundary element method |
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221 | (11) |
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6.5 The finite element method |
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232 | (12) |
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6.6 Other forward methods |
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244 | (1) |
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6.7 Discussion and conclusion |
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244 | (13) |
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248 | (9) |
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7 MEG and EEG: source estimation |
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257 | (30) |
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257 | (2) |
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7.2 Relationship between neural activity and the MEG and EEG source estimates |
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259 | (4) |
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7.3 Source estimation methods |
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263 | (7) |
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7.4 Interpretation of the source estimates |
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270 | (7) |
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7.5 Comparison with other techniques and future developments |
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277 | (10) |
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279 | (8) |
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8 Intrinsic signal optical imaging |
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287 | (40) |
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287 | (2) |
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8.2 Background and theory |
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289 | (11) |
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8.3 Relationship between intrinsic signals and underlying neuronal activation |
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300 | (5) |
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8.4 More on intrinsic signals in the rat barrel cortex |
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305 | (17) |
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8.5 Current trends and future directions |
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322 | (5) |
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323 | (4) |
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9 Voltage-sensitive dye imaging |
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327 | (35) |
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327 | (1) |
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9.2 Voltage-sensitive dye imaging: basics |
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328 | (9) |
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9.3 On the origin of the VSD signal |
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337 | (4) |
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9.4 Models of VSDI signals |
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341 | (13) |
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354 | (8) |
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355 | (7) |
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362 | (48) |
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10.1 Fluorescent calcium indicators |
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363 | (4) |
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10.2 Intracellular calcium dynamics |
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367 | (9) |
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10.3 Calcium-dependent fluorescence properties |
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376 | (9) |
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10.4 Simplified models of calcium dynamics |
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385 | (9) |
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394 | (8) |
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10.6 Comparison with other techniques |
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402 | (1) |
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403 | (7) |
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404 | (6) |
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11 Functional magnetic resonance imaging |
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410 | (60) |
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410 | (4) |
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11.2 Physical basis of the fMRI signal |
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414 | (3) |
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11.3 BOLD contrast mechanism |
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417 | (9) |
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11.4 Analysis of fMRI signals |
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426 | (12) |
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11.5 Neural basis of BOLD signals |
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438 | (17) |
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455 | (15) |
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456 | (14) |
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470 | |
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12.1 Extracellular recording |
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470 | (1) |
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12.2 Intracellular recording |
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471 | (1) |
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12.3 Local field potentials |
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472 | (1) |
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12.4 EEG and MEG: forward modeling |
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473 | (1) |
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12.5 EEG and MEG: source estimation |
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474 | (1) |
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12.6 Intrinsic optical imaging |
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474 | (1) |
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12.7 Voltage-sensitive dye imaging |
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475 | (1) |
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475 | (2) |
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12.9 Functional magnetic resonance imaging |
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477 | |
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477 | |