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The predictive mind / Jakob Hohwy.

Van Pelt Library QP360.5 .H64 2013
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Format:
Book
Author/Creator:
Hohwy, Jakob, author.
Language:
English
Subjects (All):
Cognitive neuroscience.
Perception.
Physical Description:
ix, 282 pages : illustrations ; 24 cm
Edition:
First edition.
Place of Publication:
Oxford : Oxford University Press, 2013.
Summary:
A new theory is taking hold in neuroscience. It is the theory that the brain is essentially a hypothesis-testing mechanism, one that attempts to minimise the error of its predictions about the sensory input it receives from the world. It is an attractive theory because powerful theoretical arguments support it, and yet it is at heart stunningly simple. Jakob Hohwy explains and explores this theory from the perspective of cognitive science and philosophy. The key argument throughout The Predictive Mind is that the mechanism explains the rich, deep, and multifaceted character of our conscious perception. It also gives a unified account of how perception is sculpted by attention, and how it depends on action. The mind is revealed as having a fragile and indirect relation to the world. Though we are deeply in tune with the world we are also strangely distanced from it. The first part of the book sets out how the theory enables rich, layered perception. The theory's probabilistic and statistical foundations are explained using examples from empirical research and analogies to different forms of inference. The second part uses the simple mechanism in an explanation of problematic cases of how we manage to represent, and sometimes misrepresent, the world in health as well as in mental illness. The third part looks into the mind, and shows how the theory accounts for attention, conscious unity, introspection, self and the privacy of our mental world. Book jacket.
Contents:
Part I The Mechanism
1 Perception as causal inference 13
Constraints on perceptual inference 14
Perception and Bayes' rule 15
Perceptual inference and binocular rivalry 19
How do neurons know Bayes? 23
From inference to phenomenology 25
A hierarchy of causal regularities 27
Perceptual variance and invariance 28
Message passing between hierarchical levels 31
Additional constraints on hierarchical inference 32
On Bayes' rule 34
Summary: hierarchical neuronal inferential mechanisms 37
Notes 38
2 Prediction error minimization 41
A statistical illustration 42
Reconceiving the relation to the world 46
Being supervised by the world 48
A deeper perspective 51
Recognition and model inversion 53
Summary: perception in prediction 55
Notes 56
3 Prediction error, context, and precision 59
Context and uncertainty 60
Plugging the leaky dam 62
Expected precisions 64
Precisions and prediction error gain 66
The basic mechanism: matters arising 67
Summary: passive perceivers? 73
Notes 74
4 Action and expected experience 75
Active inference in perception 76
Modelling the agent, and acting 81
Bounding surprise 84
Active inference: matters arising 89
Prediction error minimization: challenges 92
Summary: tooling up for understanding the mind 95
Notes 96
Part II The World
5 Binding is inference 101
The binding problem and causal inference 102
Initial pleas for the Bayesian story 106
From common cause to sensory binding 110
Binding, attention, and precision 111
Summary: binding in error minimization 115
Notes 115
6 Is predicting seeing? 117
Cognitive penetrability: initial moves 118
Cognitive penetrability under mounting uncertainty 122
Making room for cognitive impenetrability 124
Possible cases of cognitive penetrability 129
Summary: a balanced notion of cognitive penetrability 137
Notes 138
7 Precarious prediction 140
Trading off perception and misperception 141
Accuracy and noise 143
Precisions, sampling, and prior belief 145
Reality testing 147
The courtroom of perception 152
Mental illness and prediction error 156
Delusions and expected precisions 157
Autism and expected precisions 161
Balancing passive and active inference 165
Summary: prediction error failures in illness and health 168
Notes 169
8 Surprise and misrepresentation 172
Misperception as failure of prediction error minimization 174
Misperception and rule-following 179
Hierarchical modes of presentation 181
In the Bayesian room 185
Summary: a mechanism for representation 187
Notes 188
Part III The Mind
9 Precision, attention, and consciousness 191
From mental searchlight to precision expectations 192
Learning patterns of noise and uncertainty 194
Patterns of expected precisions in attention 195
Volitional attention as active inference 197
Inattentional blindness as low gain and prior 199
Endogenous and exogenous attention 200
Attention and conscious perception 201
Summary: statistical aspects of attention and consciousness 205
Notes 206
10 Perceptual unity in action 207
From causal inference to consciousness? 207
Perceptual unity 209
Unity, and ignition of the global neuronal workspace 211
Ignition, active inference, and unity 214
Action-based unity and indirectness 219
Summary: unity and causal seclusion 221
Notes 221
11 The fragile mirror of nature 224
Truth trackers or just a penchant for error minimization? 224
Is perception indirect? 227
The Bayesian body 230
Fragility, internality, and situatedness 237
Summary: a disconcerting and comforting perceptual relation? 240
Notes 241
12 Into the predictive mind 242
Emotions and bodily sensations 242
Introspection is inference on mental causes 245
The private mind in interaction 249
The self as a sensory trajectory 254
Summary: the probabilistic and causal mind 256
Notes 257.
Notes:
Includes bibliographical references (pages [261]-276) and index.
ISBN:
9780199682737
0199682739
9780199686735
0199686734
OCLC:
866836560

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