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1 Introduction: the issues |
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1 | (9) |
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1 | (1) |
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1.2 Rewards and punishers |
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2 | (3) |
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1.3 The approaches taken to emotion and motivation |
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5 | (2) |
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7 | (3) |
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10 | (31) |
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10 | (1) |
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11 | (2) |
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13 | (8) |
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2.4 Refinements of the theory of emotion |
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21 | (4) |
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2.5 The classification of emotion |
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25 | (1) |
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2.6 Other theories of emotion |
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26 | (6) |
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2.6.1 The JamesLange and other bodily theories |
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26 | (4) |
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30 | (1) |
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2.6.3 Dimensional and categorical theories of emotion |
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31 | (1) |
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2.6.4 Other approaches to emotion |
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31 | (1) |
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2.7 Individual differences in emotion, personality, and emotional intelligence |
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32 | (3) |
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2.8 Cognition and Emotion |
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35 | (1) |
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2.9 Emotion, motivation, reward, and mood |
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36 | (1) |
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2.10 The concept of emotion |
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37 | (1) |
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2.11 Advantages of the approach to emotion described here (Rolls' theory of emotion) |
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38 | (3) |
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3 The functions of emotion: reward, punishment, and emotion in brain design |
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41 | (22) |
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41 | (2) |
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3.2 Brain design and the functions of emotion |
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43 | (6) |
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3.2.1 Taxes, rewards, and punishers: gene-specified goals for actions, and the flexibility of actions |
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43 | (4) |
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3.2.2 Explicit systems, language, and reinforcement |
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47 | (1) |
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3.2.3 Special-purpose design by an external agent vs evolution by natural selection |
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48 | (1) |
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3.3 Selection of behaviour: costbenefit 'analysis' |
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49 | (2) |
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3.4 Further functions of emotion |
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51 | (8) |
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3.4.1 Autonomic and endocrine responses |
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51 | (1) |
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3.4.2 Flexibility of behavioural responses |
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52 | (1) |
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3.4.3 Emotional states are motivating |
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53 | (1) |
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54 | (3) |
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57 | (1) |
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3.4.6 Separate functions for each different primary reinforcer |
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57 | (1) |
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3.4.7 The mood state can influence the cognitive evaluation of moods or memories |
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58 | (1) |
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3.4.8 Facilitation of memory storage |
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58 | (1) |
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3.4.9 Emotional and mood states are persistent, and help to produce persistent motivation |
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59 | (1) |
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3.4.10 Emotions may trigger memory recall and influence cognitive processing |
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59 | (1) |
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3.5 The functions of emotion in an evolutionary, Darwinian, context |
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59 | (2) |
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3.6 The functions of motivation in an evolutionary, Darwinian, context |
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61 | (1) |
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3.7 Are all goals for action gene-specified? |
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62 | (1) |
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4 The brain mechanisms underlying emotion |
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63 | (158) |
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63 | (1) |
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63 | (3) |
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4.3 Representations of primary reinforcers |
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66 | (5) |
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67 | (1) |
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67 | (1) |
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4.3.3 Pleasant and painful touch |
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67 | (2) |
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69 | (2) |
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4.4 Representing potential secondary reinforcers |
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71 | (20) |
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4.4.1 The requirements of the representation |
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71 | (3) |
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74 | (1) |
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4.4.3 Objects, and not their reward and punishment associations, are represented in the inferior temporal visual cortex |
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75 | (2) |
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4.4.4 Object representations |
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77 | (1) |
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4.4.5 Invariant representations of faces and objects in the inferior temporal visual cortex |
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78 | (11) |
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4.4.6 Face expression, gesture and view represented in a population of neurons in the cortex in the superior temporal sulcus |
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89 | (1) |
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4.4.7 The brain mechanisms that build the appropriate view-invariant representations of objects required for learning emotional responses to objects, including faces |
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89 | (2) |
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4.5 The orbitofrontal cortex |
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91 | (58) |
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4.5.1 Historical background |
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91 | (1) |
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92 | (1) |
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93 | (2) |
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4.5.4 Effects of damage to the orbitofrontal cortex |
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95 | (2) |
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4.5.5 Neurophysiology and functional neuroimaging of the orbitofrontal cortex |
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97 | (34) |
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4.5.6 The human orbitofrontal cortex |
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131 | (9) |
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4.5.7 A neurophysiological and computational basis for stimulusreinforcer association learning and reversal in the orbitofrontal cortex |
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140 | (7) |
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4.5.8 Executive functions of the orbitofrontal cortex |
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147 | (2) |
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149 | (30) |
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4.6.1 Associative processes involved in emotion-related learning |
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149 | (6) |
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4.6.2 Connections of the amygdala |
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155 | (2) |
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4.6.3 Effects of amygdala lesions |
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157 | (7) |
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4.6.4 Neuronal activity in the primate amygdala to reinforcing stimuli |
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164 | (6) |
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4.6.5 Responses of these amygdala neurons to novel stimuli that are reinforcing |
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170 | (2) |
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4.6.6 Neuronal responses in the amygdala to faces |
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172 | (2) |
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4.6.7 Evidence from humans |
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174 | (4) |
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178 | (1) |
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179 | (8) |
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4.7.1 Perigenual cingulate cortex and affect |
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181 | (4) |
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4.7.2 Mid-cingulate cortex, the cingulate motor area, and actionoutcome learning |
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185 | (2) |
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4.8 Human brain imaging investigations of mood and depression |
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187 | (1) |
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4.9 Output pathways for emotional responses |
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188 | (6) |
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4.9.1 The autonomic and endocrine systems |
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188 | (1) |
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4.9.2 Motor systems for implicit responses, including the basal ganglia |
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189 | (1) |
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4.9.3 Output systems for explicit responses to emotional stimuli |
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190 | (1) |
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4.9.4 Basal forebrain and hypothalamus |
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191 | (1) |
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4.9.5 Basal forebrain cholinergic neurons |
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191 | (3) |
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4.9.6 Noradrenergic neurons |
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194 | (1) |
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4.10 Effects of emotion on cognitive processing and memory |
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194 | (6) |
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4.11 Laterality effects in human emotional processing |
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200 | (2) |
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202 | (3) |
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205 | (16) |
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221 | (53) |
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221 | (1) |
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5.2 Peripheral signals for hunger and satiety |
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221 | (3) |
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5.3 The control signals for hunger and satiety |
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224 | (9) |
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5.3.1 Sensory-specific satiety |
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224 | (6) |
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230 | (1) |
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5.3.3 Duodenal chemosensors |
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230 | (1) |
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5.3.4 Glucostatic hypothesis |
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230 | (1) |
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5.3.5 Body fat regulation leptin or OB protein |
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231 | (1) |
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5.3.6 Conditioned appetite and satiety |
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232 | (1) |
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5.4 The brain control of eating and reward |
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233 | (38) |
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233 | (10) |
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5.4.2 Brain mechanisms for the reward produced by the taste of food |
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243 | (10) |
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5.4.3 Convergence between taste and olfactory processing to represent flavour |
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253 | (1) |
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5.4.4 Brain mechanisms for the reward produced by the odour of food |
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254 | (5) |
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5.4.5 The responses of orbitofrontal cortex taste and olfactory neurons to the sight of food |
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259 | (1) |
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5.4.6 Functions of the amygdala and temporal cortex in feeding |
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259 | (4) |
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5.4.7 Functions of the orbitofrontal cortex in feeding |
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263 | (3) |
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5.4.8 Functions of the striatum in feeding |
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266 | (5) |
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5.5 Obesity, bulimia, and anorexia |
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271 | (2) |
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5.6 Conclusions on reward, affective responses to food, and the control of appetite |
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273 | (1) |
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274 | (14) |
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274 | (1) |
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6.2 Cellular stimuli for drinking |
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275 | (1) |
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6.3 Extracellular thirst stimuli |
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276 | (3) |
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6.3.1 Extracellular stimuli for thirst |
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276 | (2) |
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6.3.2 Role of the kidney in extracellular thirst: the reninangiotensin system |
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278 | (1) |
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6.3.3 Cardiac receptors for thirst |
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279 | (1) |
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6.4 Control of normal drinking |
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279 | (3) |
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6.5 Reward and satiety signals for drinking |
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282 | (4) |
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286 | (2) |
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7 Brain-stimulation reward |
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288 | (20) |
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288 | (1) |
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7.2 The nature of the reward produced |
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288 | (4) |
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7.3 The location of brain-stimulation reward sites in the brain |
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292 | (1) |
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7.4 The effects of brain lesions on intracranial self-stimulation |
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293 | (1) |
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7.5 The neurophysiology of reward |
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294 | (6) |
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7.5.1 Lateral hypothalamus and substantia innominata |
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294 | (2) |
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7.5.2 Orbitofrontal cortex |
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296 | (2) |
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298 | (1) |
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299 | (1) |
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7.5.5 Central gray of the midbrain |
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299 | (1) |
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7.6 Some of the properties of brain-stimulation reward |
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300 | (4) |
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7.6.1 Lack of satiety with brain-stimulation reward |
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300 | (2) |
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302 | (1) |
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302 | (2) |
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7.7 Stimulus-bound motivational behaviour |
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304 | (1) |
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305 | (1) |
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306 | (2) |
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8 Pharmacology of emotion, reward, and addiction; the basal ganglia |
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308 | (50) |
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308 | (3) |
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8.2 The noradrenergic hypothesis |
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311 | (1) |
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312 | (9) |
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8.3.1 Dopamine and electrical self-stimulation of the brain |
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312 | (2) |
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8.3.2 Self-administration of dopaminergic substances, and addiction |
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314 | (2) |
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8.3.3 Behaviours associated with the release of dopamine |
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316 | (2) |
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8.3.4 The activity of dopaminergic neurons and reward |
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318 | (3) |
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321 | (31) |
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8.4.1 Systems-level architecture of the basal ganglia |
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322 | (1) |
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8.4.2 Effects of basal ganglia damage |
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323 | (2) |
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8.4.3 Neuronal activity in the striatum |
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325 | (14) |
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8.4.4 What computations are performed by the basal ganglia? |
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339 | (1) |
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8.4.5 How do the basal ganglia perform their computations? |
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340 | (9) |
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8.4.6 Synthesis on the role of dopamine in reward and addiction |
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349 | (1) |
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8.4.7 Synthesis: emotion, dopamine, reward, punishment, and action selection in the basal ganglia |
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350 | (2) |
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8.5 Opiate reward systems, analgesia, and food reward |
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352 | (1) |
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8.6 Pharmacology of depression in relation to brain systems involved in emotion |
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353 | (1) |
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8.7 Pharmacology of anxiety in relation to brain systems involved in emotion |
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354 | (1) |
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355 | (1) |
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8.9 Overview of behavioural selection and output systems involved in emotion |
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355 | (3) |
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9 Sexual behaviour, reward, and brain function; sexual selection of behaviour |
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358 | (42) |
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358 | (2) |
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9.2 Mate selection, attractiveness, and love |
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360 | (7) |
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361 | (2) |
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363 | (3) |
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9.2.3 Pair-bonding, and Love |
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366 | (1) |
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9.3 Parental attachment, care, and parentoffspring conflict |
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367 | (1) |
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9.4 Sperm competition and its consequences for sexual behaviour |
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368 | (7) |
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9.5 Concealed ovulation and its consequences for sexual behaviour |
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375 | (1) |
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9.6 Sexual selection of sexual and non-sexual behaviour |
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376 | (5) |
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9.6.1 Sexual selection and natural selection |
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376 | (3) |
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9.6.2 Non-sexual characteristics may be sexually selected for courtship |
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379 | (2) |
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9.7 Individual differences in sexual rewards |
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381 | (6) |
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381 | (3) |
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9.7.2 How might different types of behaviour be produced by natural selection altering the relative reward value of different stimuli in different individuals? |
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384 | (2) |
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9.7.3 How being tuned to different types of reward could help to produce individual differences in sexual behaviour |
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386 | (1) |
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9.8 The neural reward mechanisms that might mediate some aspects of sexual behaviour |
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387 | (8) |
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9.9 Neural basis of sexual behaviour |
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395 | (3) |
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398 | (2) |
10 Emotional feelings and consciousness: a theory of consciousness |
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400 | (26) |
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400 | (1) |
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10.2 A theory of consciousness |
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401 | (10) |
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10.3 Dual routes to action |
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411 | (7) |
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10.4 Content and meaning in representations |
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418 | (2) |
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420 | (3) |
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10.6 Conclusions and comparisons |
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423 | (3) |
11 Conclusions, and broader issues |
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426 | (28) |
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426 | (5) |
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431 | (14) |
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11.2.1 Selection of mainly autonomic responses, and their classical conditioning |
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431 | (1) |
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11.2.2 Selection of approach or withdrawal, and their classical conditioning |
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431 | (1) |
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11.2.3 Selection of fixed stimulusresponse habits |
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432 | (1) |
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11.2.4 Selection of arbitrary behaviours to obtain goals, actionoutcome learning, and emotional learning |
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432 | (1) |
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11.2.5 The roles of the prefrontal cortex in decision-making and attention |
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433 | (7) |
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11.2.6 Neuroeconomics, reward value, and expected utility |
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440 | (4) |
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11.2.7 Selection of actions by explicit rational thought |
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444 | (1) |
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445 | (4) |
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11.4 Emotion and literature |
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449 | (3) |
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452 | (2) |
A Neural networks and emotion-related learning |
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454 | (47) |
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A.1 Neurons in the brain, the representation of information, and neuronal learning mechanisms |
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454 | (12) |
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454 | (1) |
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A.1.2 Neurons in the brain, and their representation in neuronal networks |
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454 | (2) |
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A.1.3 A formalism for approaching the operation of single neurons in a network |
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456 | (2) |
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A.1.4 Synaptic modification |
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458 | (1) |
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A.1.5 Long-Term Potentiation and Long-Term Depression |
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459 | (5) |
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A.1.6 Distributed representations |
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464 | (2) |
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A.2 Pattern association memory |
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466 | (17) |
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A.2.1 Architecture and operation |
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466 | (3) |
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469 | (3) |
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A.2.3 The vector interpretation |
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472 | (1) |
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472 | (3) |
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A.2.5 Prototype extraction, extraction of central tendency, and noise reduction |
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475 | (1) |
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475 | (1) |
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A.2.7 Local learning rule |
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476 | (6) |
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A.2.8 Implications of different types of coding for storage in pattern associators |
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482 | (1) |
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A.3 Autoassociation memory: attractor networks |
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483 | (8) |
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A.3.1 Architecture and operation |
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483 | (2) |
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A.3.2 Introduction to the analysis of the operation of autoassociation networks |
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485 | (1) |
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486 | (5) |
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A.4 Coupled attractor networks |
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491 | (2) |
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A.5 Reinforcement learning |
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493 | (8) |
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A.5.1 Associative rewardpenalty algorithm of Barto and Sutton |
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494 | (2) |
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A.5.2 Error correction or delta rule learning, and classical conditioning |
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496 | (1) |
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A.5.3 Temporal Difference (TD) learning |
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497 | (4) |
B Reward reversal in the orbitofrontal cortex a model |
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501 | (24) |
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501 | (2) |
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B.2 The model of stimulusreinforcer association reversal |
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503 | (8) |
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504 | (3) |
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B.2.2 Reward reversal: the operation of the rule module neurons |
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507 | (2) |
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B.2.3 The neurons in the model |
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509 | (1) |
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B.2.4 The synapses in the model |
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510 | (1) |
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B.3 Operation of the reward reversal model |
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511 | (4) |
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B.4 A model of reversal of a conditional object-response task by the dorsolateral prefrontal cortex |
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515 | (2) |
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B.5 Evaluation of the models |
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517 | (4) |
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B.6 Integrate-and-Fire model equations and parameters |
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521 | (1) |
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B.7 Simulation of fMRI signals: haemodynamic convolution of synaptic activity |
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522 | (3) |
C Glossary |
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525 | (3) |
References |
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528 | (73) |
Index |
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601 | |