Preface: Meat That Predicts |
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xiii | |
Acknowledgements |
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xvii | |
Introduction: Guessing Games |
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1 | (12) |
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I THE POWER OF PREDICTION |
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13 | (40) |
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1.1 Two Ways to Sense the Coffee |
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13 | (1) |
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1.2 Adopting the Animal's Perspective |
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14 | (3) |
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1.3 Learning in Bootstrap Heaven |
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17 | (2) |
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19 | (3) |
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22 | (1) |
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1.6 Dealing with Structure |
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23 | (2) |
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1.7 Predictive Processing |
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25 | (3) |
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28 | (1) |
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1.9 Predicting Natural Scenes |
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29 | (4) |
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33 | (4) |
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1.11 Suppression and Selective Enhancement |
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37 | (2) |
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1.12 Encoding, Inference, and the Bayesian Brain |
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39 | (2) |
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41 | (2) |
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1.14 Predictive Processing in the Brain |
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43 | (2) |
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45 | (2) |
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47 | (2) |
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1.17 When Prediction Misleads |
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49 | (2) |
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1.18 Mind Turned Upside Down |
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51 | (2) |
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2 Adjusting the Volume (Noise, Signal, Attention) |
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53 | (31) |
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53 | (1) |
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54 | (3) |
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2.3 The Delicate Dance between Top-Down and Bottom-Up |
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57 | (2) |
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2.4 Attention, Biased Competition, and Signal Enhancement |
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59 | (5) |
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2.5 Sensory Integration and Coupling |
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64 | (1) |
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65 | (1) |
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2.7 Gaze Allocation: Doing What Comes Naturally |
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66 | (3) |
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2.8 Circular Causation in the Perception-Attention-Action Loop |
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69 | (2) |
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2.9 Mutual Assured Misunderstanding |
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71 | (4) |
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2.10 Some Worries about Precision |
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75 | (3) |
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2.11 The Unexpected Elephant |
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78 | (1) |
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2.12 Some Pathologies of Precision |
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79 | (3) |
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2.13 Beyond the Spotlight |
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82 | (2) |
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84 | (27) |
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3.1 Construction Industries |
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84 | (1) |
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85 | (1) |
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3.3 Cross-Modal and Multimodal effects |
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86 | (1) |
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87 | (2) |
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89 | (3) |
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3.6 Expectations and Conscious Perception |
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92 | (1) |
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3.7 The Perceiver as Imaginer |
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93 | (1) |
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3.8 `Brain Reading' During Imagery and Perception |
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94 | (4) |
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3.9 Inside the Dream Factory |
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98 | (4) |
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102 | (2) |
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3.11 Towards Mental Time Travel |
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104 | (3) |
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3.12 A Cognitive Package Deal |
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107 | (4) |
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4 Prediction-Action Machines |
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111 | (28) |
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4.1 Staying Ahead of the Break |
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111 | (1) |
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112 | (3) |
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4.3 Forward Models (Finessing Time) |
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115 | (2) |
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4.4 Optimal Feedback Control |
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117 | (3) |
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120 | (4) |
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124 | (2) |
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4.7 Beyond Efference Copy |
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126 | (2) |
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4.8 Doing Without Cost Functions |
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128 | (5) |
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4.9 Action-Oriented Predictions |
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133 | (1) |
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134 | (1) |
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4.11 Perception-Cognition-Action Engines |
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135 | (4) |
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5 Precision Engineering: Sculpting the Flow |
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139 | (29) |
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139 | (1) |
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5.2 Towards Maximal Context-Sensitivity |
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140 | (3) |
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5.3 Hierarchy Reconsidered |
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143 | (3) |
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5.4 Sculpting Effective Connectivity |
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146 | (4) |
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150 | (1) |
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151 | (3) |
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154 | (3) |
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157 | (2) |
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159 | (4) |
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5.10 The Restless, Rapidly Responsive, Brain |
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163 | (4) |
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5.11 Celebrating Transience |
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167 | (1) |
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168 | (35) |
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168 | (1) |
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6.2 Controlled Hallucinations and Virtual Realities |
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169 | (2) |
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6.3 The Surprising Scope of Structured Probabilistic Learning |
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171 | (4) |
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175 | (6) |
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6.5 Implementing Affordance Competition |
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181 | (3) |
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6.6 Interaction-Based Joints in Nature |
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184 | (4) |
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6.7 Evidentiary Boundaries and the Ambiguous Appeal to Inference |
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188 | (4) |
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192 | (2) |
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194 | (2) |
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6.10 Hallucination as Uncontrolled Perception |
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196 | (1) |
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197 | (2) |
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199 | (2) |
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6.13 Who Estimates the Estimators? |
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201 | (1) |
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202 | (1) |
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7 Expecting Ourselves (Creeping Up On Consciousness) |
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203 | (40) |
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7.1 The Space of Human Experience |
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203 | (1) |
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204 | (2) |
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7.3 The Spiral of Inference and Experience |
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206 | (2) |
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7.4 Schizophrenia and Smooth Pursuit Eye Movements |
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208 | (1) |
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7.5 Simulating Smooth Pursuit |
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209 | (2) |
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7.6 Disturbing the Network (Smooth Pursuit) |
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211 | (2) |
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213 | (3) |
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7.8 Less Sense, More Action? |
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216 | (2) |
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7.9 Disturbing the Network (Sensory Attenuation) |
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218 | (1) |
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7.10 `Psychogenic Disorders' and Placebo Effects |
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219 | (2) |
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7.11 Disturbing the Network (`Psychogenic' Effects) |
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221 | (2) |
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7.12 Autism, Noise, and Signal |
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223 | (4) |
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227 | (4) |
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231 | (4) |
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235 | (2) |
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7.16 A Nip of the Hard Stuff |
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237 | (6) |
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III SCAFFOLDING PREDICTION |
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8 The Lazy Predictive Brain |
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243 | (26) |
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243 | (1) |
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244 | (1) |
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8.3 Ecological Balance and Baseball |
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245 | (4) |
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249 | (1) |
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8.5 Frugal Action-Oriented Prediction Machines |
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250 | (2) |
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8.6 Mix `n' Match Strategy Selection |
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252 | (3) |
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8.7 Balancing Accuracy and Complexity |
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255 | (1) |
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256 | (4) |
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8.9 Extended Predictive Minds |
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260 | (2) |
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8.10 Escape from the Darkened Room |
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262 | (3) |
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8.11 Play, Novelty, and Self-Organized Instability |
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265 | (3) |
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8.12 Fast, Cheap, and Flexible Too |
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268 | (1) |
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269 | (26) |
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9.1 Putting Prediction in Its Place |
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269 | (1) |
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9.2 Reprise: Self-Organizing around Prediction Error |
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270 | (1) |
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9.3 Efficiency and `The Lord's Prior' |
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271 | (1) |
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9.4 Chaos and Spontaneous Cortical Activity |
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272 | (3) |
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9.5 Designer Environments and Cultural Practices |
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275 | (4) |
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279 | (2) |
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9.7 Innovating for Innovation |
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281 | (1) |
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9.8 Words as Tools for Manipulating Precision |
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282 | (3) |
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9.9 Predicting with Others |
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285 | (3) |
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288 | (3) |
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9.11 Representations: Breaking Good? |
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291 | (3) |
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9.12 Prediction in the Wild |
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294 | (1) |
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10 Conclusions: The Future of Prediction |
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295 | (6) |
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10.1 Embodied Prediction Machines |
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295 | (2) |
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10.2 Problems, Puzzles, and Pitfalls |
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297 | (4) |
Appendix 1 Bare Bayes |
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301 | (4) |
Appendix 2 The Free-Energy Formulation |
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305 | (2) |
Notes |
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307 | (22) |
References |
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329 | (48) |
Index |
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377 | |