Emotion explained:
From the Publisher: What produces emotions? Why do we have emotions? How do we have emotions? Why do emotional states feel like something? This book seeks explanations of emotion by considering these questions. Emotion continues to be a topic of enormous scientific interest. Emotion Explained descri...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Oxford [u.a.]
Oxford Univ. Press
2007
|
Ausgabe: | Repr. |
Schriftenreihe: | Series in affective science
|
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Zusammenfassung: | From the Publisher: What produces emotions? Why do we have emotions? How do we have emotions? Why do emotional states feel like something? This book seeks explanations of emotion by considering these questions. Emotion continues to be a topic of enormous scientific interest. Emotion Explained describes the nature, functions, and brain mechanisms that underlie both emotion and motivation. However it goes beyond examining brain mechanisms of emotion, by proposing a theory of what emotions are, and an evolutionary, Darwinian, theory of the adaptive value of emotion. It also shows that there is a clear relationship between motivation and emotion. The book also examines how cognitive states can modulate emotions, and in turn, how emotions can influence cognitive states. It considers the role of sexual selection in the evolution of affective behavior. It also examines emotion and decision making, with links to the burgeoning field of neuroeconomics. The book is also unique in considering emotion at several levels-the neurophysiological, neuroimaging, neuropsychological, behavioral, and computational neuroscience levels. |
Beschreibung: | hbk.. - : £39.95 : CIP entry (Sept.) |
Beschreibung: | XVII, 607 S. Ill., graph. Darst. |
ISBN: | 9780198570042 019857004x |
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300 | |a XVII, 607 S. |b Ill., graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
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500 | |a hbk.. - : £39.95 : CIP entry (Sept.) | ||
520 | 3 | |a From the Publisher: What produces emotions? Why do we have emotions? How do we have emotions? Why do emotional states feel like something? This book seeks explanations of emotion by considering these questions. Emotion continues to be a topic of enormous scientific interest. Emotion Explained describes the nature, functions, and brain mechanisms that underlie both emotion and motivation. However it goes beyond examining brain mechanisms of emotion, by proposing a theory of what emotions are, and an evolutionary, Darwinian, theory of the adaptive value of emotion. It also shows that there is a clear relationship between motivation and emotion. The book also examines how cognitive states can modulate emotions, and in turn, how emotions can influence cognitive states. It considers the role of sexual selection in the evolution of affective behavior. It also examines emotion and decision making, with links to the burgeoning field of neuroeconomics. The book is also unique in considering emotion at several levels-the neurophysiological, neuroimaging, neuropsychological, behavioral, and computational neuroscience levels. | |
650 | 4 | |a Emotions | |
650 | 4 | |a Emotions and cognition | |
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Datensatz im Suchindex
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---|---|
adam_text |
Contents
1
1.1
1.2
1.3
1.4
2
2.1
2.2
2.3
2.4
2.5
2.6
2.6.1
2.6.2
2.6.3
2.6.4
2.7
intelligence
2.8
2.9
2.10
2.11
(Rolls' theory of emotion)
3
reward, punishment, and emotion in brain design
3.1
3.2
3.2.1
for actions, and the flexibility of actions
3.2.2
3.2.3
lution by natural selection
3.3
Contents
3.4
3.4.1 Autonomie
3.4.2
3.4.3
3.4.4
3.4.5
3.4.6
forcer
3.4.7
tion of moods or memories
3.4.8
3.4.9
to produce persistent motivation
3.4.10
cognitive processing
3.5
text
3.6
context
3.7
The brain mechanisms underlying emotion
4.1
4.2
4.3
4.3.1
4.3.2
4.3.3
4.3.4
4.4
4.4.1
4.4.2
4.4.3
sociations, are represented in the inferior temporal
visual cortex
4.4.4
4.4.5
inferior temporal visual cortex
4.4.6
population of neurons in the cortex in the superior
Contents
temporal sulcus
4.4.7
view-invariant representations of objects required for
learning emotional responses to objects, including
faces
4.5
4.5.1
4.5.2
4.5.3
4.5.4
4.5.5
orbitofrontal cortex
4.5.6
4.5.7
stimulus-reinforcer association learning and rever¬
sal in the orbitofrontal cortex
4.5.8
4.6
4.6.1
learning
4.6.2
4.6.3
4.6.4 Neuronal
ing stimuli
4.6.5
uli that are reinforcing
4.6.6 Neuronal
4.6.7
4.6.8
4.7
4.7.1
4.7.2
action-outcome learning
4.8
sion
4.9
4.9.1
4.9.2
basal ganglia
xii
4.9.3
stimuli
4.9.4
4.9.5
4.9.6
4.10
4.11
4.12
4.13
Hunger
5.1
5.2
5.3
5.3.1
5.3.2
5.3.3
5.3.4
5.3.5
5.3.6
5.4
5.4.1
5.4.2
taste of food
5.4.3
ing to represent flavour
5.4.4
odour of food
5.4.5
tory neurons to the sight of food
5.4.6
feeding
5.4.7
5.4.8
5.5
5.6
control of appetite
Thirst
6.1
6.2
Contents!
6.3
6.3.1
6.3.2
angiotensin system
6.3.3
6.4
6.5
6.6
7
7.1
7.2
7.3
7.4
7.5
7.5.1
7.5.2
7.5.3
7.5.4
7.5.5
7.6
7.6.1
7.6.2
7.6.3
7.7
7.8
7.9
8
ganglia
8.1
8.2
8.3
8.3.1
8.3.2
addiction
8.3.3
8.3.4
8.4
8.4.1
8.4.2
xiv
8.4.3 Neuronal
8.4.4
glia?
8.4.5
tions?
8.4.6
diction
8.4.7
and action selection in the basal ganglia
8.5
8.6
involved in emotion
8.7
volved in emotion
8.8
8.9
volved in emotion
9
tion of behaviour
9.1
9.2
9.2.1
9.2.2
9.2.3
9.3
9.4
haviour
9.5
haviour
9.6
9.6.1
9.6.2
for courtship
9.7
9.7.1
9.7.2
by natural selection altering the relative reward value
of different stimuli in different individuals?
9.7.3
Contents xv
help to produce individual differences in sexual be¬
haviour
9.8
aspects of sexual behaviour
9.9
9.10
10
sciousness
10.1
10.2
10.3
10.4
10.5
10.6
11
11.1
11.2
11.2.1
classical conditioning
11.2.2
sical conditioning
11.2.3
11.2.4
action-outcome learning, and emotional learning
11.2.5The roles of the prefrontal cortex in decision-making
and attention
11.2.6
11.2.7
11.3
11.4
11.5
A Neural networks and emotion-related learning
A.1 Neurons in the brain, the representation of information, and
neuronal
A.
A.1
ronal
xvi
A.1
neurons in a network
A.1
A.1.
A.1.
A.2 Pattern association memory
A.2.1 Architecture and operation
A.2.2 A simple model
A.2.3 The vector interpretation
A.2.4 Properties
A.2.5 Prototype extraction, extraction of central tendency,
and noise reduction
A.2.6 Speed
A.2.7 Local learning rule
A.2.8 Implications of different types of coding for storage
in pattern associators
A.3
A.3.1 Architecture and operation
A.3.2 Introduction to the analysis of the operation of au-
toassociation networks
A.3.3 Properties
A.4 Coupled attractor networks
A.5 Reinforcement learning
A.5.1 Associative reward-penalty algorithm of Barto and
Sutton
A.5.2 Error correction or delta rule learning, and classical
conditioning
A.5.3 Temporal Difference (TD) learning
В
B.1 Introduction
B.2 The model of stimulus-reinforcer association reversal
B.2.1 The network
B.2.2 Reward reversal: the operation of the rule module
neurons
B.2.3 The neurons in the model
B.2.4 The synapses in the model
B.3 Operation of the reward reversal model
B.4 A model of reversal of a conditional object-response task
by the dorsolateral prefrontal cortex
Contents
B.5 Evaluation
B.6 Integrate-and-Fire model equations and parameters
B.7 Simulation of fMRI signals: haemodynamic convolution of
synaptic activity
С
References
Index |
adam_txt |
Contents
1
1.1
1.2
1.3
1.4
2
2.1
2.2
2.3
2.4
2.5
2.6
2.6.1
2.6.2
2.6.3
2.6.4
2.7
intelligence
2.8
2.9
2.10
2.11
(Rolls' theory of emotion)
3
reward, punishment, and emotion in brain design
3.1
3.2
3.2.1
for actions, and the flexibility of actions
3.2.2
3.2.3
lution by natural selection
3.3
Contents
3.4
3.4.1 Autonomie
3.4.2
3.4.3
3.4.4
3.4.5
3.4.6
forcer
3.4.7
tion of moods or memories
3.4.8
3.4.9
to produce persistent motivation
3.4.10
cognitive processing
3.5
text
3.6
context
3.7
The brain mechanisms underlying emotion
4.1
4.2
4.3
4.3.1
4.3.2
4.3.3
4.3.4
4.4
4.4.1
4.4.2
4.4.3
sociations, are represented in the inferior temporal
visual cortex
4.4.4
4.4.5
inferior temporal visual cortex
4.4.6
population of neurons in the cortex in the superior
Contents
temporal sulcus
4.4.7
view-invariant representations of objects required for
learning emotional responses to objects, including
faces
4.5
4.5.1
4.5.2
4.5.3
4.5.4
4.5.5
orbitofrontal cortex
4.5.6
4.5.7
stimulus-reinforcer association learning and rever¬
sal in the orbitofrontal cortex
4.5.8
4.6
4.6.1
learning
4.6.2
4.6.3
4.6.4 Neuronal
ing stimuli
4.6.5
uli that are reinforcing
4.6.6 Neuronal
4.6.7
4.6.8
4.7
4.7.1
4.7.2
action-outcome learning
4.8
sion
4.9
4.9.1
4.9.2
basal ganglia
xii
4.9.3
stimuli
4.9.4
4.9.5
4.9.6
4.10
4.11
4.12
4.13
Hunger
5.1
5.2
5.3
5.3.1
5.3.2
5.3.3
5.3.4
5.3.5
5.3.6
5.4
5.4.1
5.4.2
taste of food
5.4.3
ing to represent flavour
5.4.4
odour of food
5.4.5
tory neurons to the sight of food
5.4.6
feeding
5.4.7
5.4.8
5.5
5.6
control of appetite
Thirst
6.1
6.2
Contents!
6.3
6.3.1
6.3.2
angiotensin system
6.3.3
6.4
6.5
6.6
7
7.1
7.2
7.3
7.4
7.5
7.5.1
7.5.2
7.5.3
7.5.4
7.5.5
7.6
7.6.1
7.6.2
7.6.3
7.7
7.8
7.9
8
ganglia
8.1
8.2
8.3
8.3.1
8.3.2
addiction
8.3.3
8.3.4
8.4
8.4.1
8.4.2
xiv
8.4.3 Neuronal
8.4.4
glia?
8.4.5
tions?
8.4.6
diction
8.4.7
and action selection in the basal ganglia
8.5
8.6
involved in emotion
8.7
volved in emotion
8.8
8.9
volved in emotion
9
tion of behaviour
9.1
9.2
9.2.1
9.2.2
9.2.3
9.3
9.4
haviour
9.5
haviour
9.6
9.6.1
9.6.2
for courtship
9.7
9.7.1
9.7.2
by natural selection altering the relative reward value
of different stimuli in different individuals?
9.7.3
Contents xv
help to produce individual differences in sexual be¬
haviour
9.8
aspects of sexual behaviour
9.9
9.10
10
sciousness
10.1
10.2
10.3
10.4
10.5
10.6
11
11.1
11.2
11.2.1
classical conditioning
11.2.2
sical conditioning
11.2.3
11.2.4
action-outcome learning, and emotional learning
11.2.5The roles of the prefrontal cortex in decision-making
and attention
11.2.6
11.2.7
11.3
11.4
11.5
A Neural networks and emotion-related learning
A.1 Neurons in the brain, the representation of information, and
neuronal
A.
A.1
ronal
xvi
A.1
neurons in a network
A.1
A.1.
A.1.
A.2 Pattern association memory
A.2.1 Architecture and operation
A.2.2 A simple model
A.2.3 The vector interpretation
A.2.4 Properties
A.2.5 Prototype extraction, extraction of central tendency,
and noise reduction
A.2.6 Speed
A.2.7 Local learning rule
A.2.8 Implications of different types of coding for storage
in pattern associators
A.3
A.3.1 Architecture and operation
A.3.2 Introduction to the analysis of the operation of au-
toassociation networks
A.3.3 Properties
A.4 Coupled attractor networks
A.5 Reinforcement learning
A.5.1 Associative reward-penalty algorithm of Barto and
Sutton
A.5.2 Error correction or delta rule learning, and classical
conditioning
A.5.3 Temporal Difference (TD) learning
В
B.1 Introduction
B.2 The model of stimulus-reinforcer association reversal
B.2.1 The network
B.2.2 Reward reversal: the operation of the rule module
neurons
B.2.3 The neurons in the model
B.2.4 The synapses in the model
B.3 Operation of the reward reversal model
B.4 A model of reversal of a conditional object-response task
by the dorsolateral prefrontal cortex
Contents
B.5 Evaluation
B.6 Integrate-and-Fire model equations and parameters
B.7 Simulation of fMRI signals: haemodynamic convolution of
synaptic activity
С
References
Index |
any_adam_object | 1 |
any_adam_object_boolean | 1 |
author | Rolls, Edmund T. 1945- |
author_GND | (DE-588)1150877243 |
author_facet | Rolls, Edmund T. 1945- |
author_role | aut |
author_sort | Rolls, Edmund T. 1945- |
author_variant | e t r et etr |
building | Verbundindex |
bvnumber | BV022368782 |
callnumber-first | Q - Science |
callnumber-label | QP401 |
callnumber-raw | QP401 |
callnumber-search | QP401 |
callnumber-sort | QP 3401 |
callnumber-subject | QP - Physiology |
classification_rvk | CP 3000 CP 3200 |
ctrlnum | (OCoLC)77256332 (DE-599)BVBBV022368782 |
dewey-full | 612.8232 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 612 - Human physiology |
dewey-raw | 612.8232 |
dewey-search | 612.8232 |
dewey-sort | 3612.8232 |
dewey-tens | 610 - Medicine and health |
discipline | Psychologie Medizin |
discipline_str_mv | Psychologie Medizin |
edition | Repr. |
format | Book |
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id | DE-604.BV022368782 |
illustrated | Illustrated |
index_date | 2024-07-02T17:06:13Z |
indexdate | 2024-10-23T10:04:20Z |
institution | BVB |
isbn | 9780198570042 019857004x |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-015577999 |
oclc_num | 77256332 |
open_access_boolean | |
owner | DE-355 DE-BY-UBR DE-29 DE-11 |
owner_facet | DE-355 DE-BY-UBR DE-29 DE-11 |
physical | XVII, 607 S. Ill., graph. Darst. |
publishDate | 2007 |
publishDateSearch | 2007 |
publishDateSort | 2007 |
publisher | Oxford Univ. Press |
record_format | marc |
series2 | Series in affective science |
spelling | Rolls, Edmund T. 1945- Verfasser (DE-588)1150877243 aut Emotion explained Edmund T. Rolls Repr. Oxford [u.a.] Oxford Univ. Press 2007 XVII, 607 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Series in affective science hbk.. - : £39.95 : CIP entry (Sept.) From the Publisher: What produces emotions? Why do we have emotions? How do we have emotions? Why do emotional states feel like something? This book seeks explanations of emotion by considering these questions. Emotion continues to be a topic of enormous scientific interest. Emotion Explained describes the nature, functions, and brain mechanisms that underlie both emotion and motivation. However it goes beyond examining brain mechanisms of emotion, by proposing a theory of what emotions are, and an evolutionary, Darwinian, theory of the adaptive value of emotion. It also shows that there is a clear relationship between motivation and emotion. The book also examines how cognitive states can modulate emotions, and in turn, how emotions can influence cognitive states. It considers the role of sexual selection in the evolution of affective behavior. It also examines emotion and decision making, with links to the burgeoning field of neuroeconomics. The book is also unique in considering emotion at several levels-the neurophysiological, neuroimaging, neuropsychological, behavioral, and computational neuroscience levels. Emotions Emotions and cognition Neuropsychology Gefühl (DE-588)4019702-5 gnd rswk-swf Motivation (DE-588)4040364-6 gnd rswk-swf Motivation (DE-588)4040364-6 s Gefühl (DE-588)4019702-5 s b DE-604 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015577999&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Rolls, Edmund T. 1945- Emotion explained Emotions Emotions and cognition Neuropsychology Gefühl (DE-588)4019702-5 gnd Motivation (DE-588)4040364-6 gnd |
subject_GND | (DE-588)4019702-5 (DE-588)4040364-6 |
title | Emotion explained |
title_auth | Emotion explained |
title_exact_search | Emotion explained |
title_exact_search_txtP | Emotion explained |
title_full | Emotion explained Edmund T. Rolls |
title_fullStr | Emotion explained Edmund T. Rolls |
title_full_unstemmed | Emotion explained Edmund T. Rolls |
title_short | Emotion explained |
title_sort | emotion explained |
topic | Emotions Emotions and cognition Neuropsychology Gefühl (DE-588)4019702-5 gnd Motivation (DE-588)4040364-6 gnd |
topic_facet | Emotions Emotions and cognition Neuropsychology Gefühl Motivation |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015577999&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT rollsedmundt emotionexplained |