Overview: Rolls has developed with colleagues computational neuroscience theories
that are closely linked to his discoveries made in neuronal recording, functional neuroimaging,
patient investigation studies.
An aim of the theories has been to go beyond empirical discoveries
about brain function to providing a biologically based framework
for understanding how the brain performs it computations. This
understanding in turn leads to better understanding of and potential
treatments for many disorders of brain function. Rolls' computational
neuroscience approach has included analyses of how information is
represented in the brain (508), of stochastic dynamics in the brain (B9),
and of how memory, visual face and object recognition, and emotion
systems operate in our brains. Key summary descriptions are in B15 and B12.
of Operation of the Cerebral Cortex (B12, 640, 639, 581).
Computations: what computations are performed, and how they are
performed, in different brain systems (B15).
Rolls has made key contributions to understanding what computations are
performed, and how they are performed, in primates including humans for
many of the systems described in this book.
theory of how neocortical pyramidal cells can implement the learning of
new categories, attractor memory, and top-down recall and attention
theory of emotion, and pleasure, and reward; and the principles of
implementation in the brain (B5,
B13, 273, 520,
148, 364, 428, 509, 526,
theory of motivation
In this context, a key
principle in primates including
humans is that reward value and emotional valence are represented in
the orbitofrontal cortex (and amygdala), whereas before that, the
representations are about objects and stimuli independently of value,
in the inferior temporal visual cortex, the primary taste cortex in the
insula, and in the olfactory cortex (B11, B13, B14). This provides for the separation
of emotion from perception.
In this framework, the dopamine
neurons are seen
as receiving their information from brain regions such as the
orbitofrontal cortex, via the ventral striatum and habenula (572,
B11, B13, B14).
Further, orbitofrontal cortex neurons encode reward value and hence
emotion, independently of goal-related actions. The orbitofrontal
cortex provides reward-related information to the cingulate cortex for
action-outcome learning, and to the basal ganglia for habit-based
responses (B11, B13, B14, 579,
roles of the emotional and the reasoning systems in decision-making (497, 518,
B5, B10, B11, B13) including in
economic decision-making (B11, 600).
biased activation theory of top-down attentional and cognitive control (339, 488, 520, 530, B11,
theory and model of hippocampal operation and episodic memory (111, 125,
136, 163, 186, 200, 205, 258, 266, 268, 300, 306, 307,
309, 345, 370, 403, 411, 415, 433, 453, 479, 521, 527,
B12, B15). This remains
the only quantitative theory of the storage and recall of memories in
the hippocampo-cortical system.
A theory for how
hippocampal spatial view cells are involved in memory and navigation (584, 594, 539,
B12, 612, 633, B15).
A theory and model of the
generation of time in the hippocampal memory system. Entorhinal cortex
time ramping cells produce through a competitive network hippocampal
time cells, providing neuronal mechanisms to encode the order of events
The theory shows how cells could be generated that show 'replay' and
'reverse replay' (605).
A theory and model of
coordinate transforms in the dorsal visual system using a combination
of gain modulation and slow or trace rule competitive learning. The
theory starts with retinal position inputs gain modulated by eye
position to produce a head centred representation, followed by gain
modulation by head direction, followed by gain modulation by place, to
produce an allocentric representation in spatial view coordinates
useful for the idiothetic update of hippocampal spatial view cells (612). This is useful in navigation using spatial view cells when the view details are obscured (B15, 633).
theory of how spatial view cells and hippocampal attractor networks are
involved in the art of memory (using the method of loci) (571,
theory and model of invariant visual object recognition in the ventral
280, 283, 290, 304, 312, 396, 406, 414, 446, 455, 473,
485, 516, 535,
639, B12, B15).
theory of invariant global motion recognition in the dorsal visual
theory of the utility of the stochastic dynamics of networks in the
decision-making and many other aspects of our behaviour, including
(404, 463, 477, 483, 491, 500, 502, 504, 507, 513, 518, 540,
B11, B12, B15).
stochastic dynamics arises from the almost random
(Poisson) firing times of cortical neurons for a given mean firing
gives rise to the concept of The
Noisy Brain (B9).
of how alterations in the stability of cortical attractor networks can
for the symptoms of schizophrenia (431, 436, 450,
490, 503, 629, 631), of
obsessive compulsive disorder (449), of depression (559,
572, 626), of ADHD (629), of normal aging (540, 613),
and for creativity (585).
theories (B12, B13, B14, B15) have implications for
treatment, and are complemented by
neuroimaging investigations (538,
615, 626, 629, B14).
A theory of avalanches in the brain and the temporal variability of connectivity (630, 629).
non-reward attractor theory of depression (559,
supported by altered connectivity and activation of the orbitofrontal
cortex in depression (564,
623, 626, B13, B14, B15), and a model of non-reward computation in the
orbitofrontal cortex (562).
roles of cortical attractor networks in short-term memory and top-down
(294, 295, B6, 47, 360, 372, 379, 391, 410, 520, B8, 523,
530, B12, B15, 640).
design of neural networks in the cortex by genetic evolution (284, B12).
Separate limbic systems for emotion and memory, but no single limbic
A conceptual framework for understanding the cingulate cortex, and how
it forms a part of different limbic systems (606).
representation of information in the brain using a neuronal firing rate code (172, 196, 204, 225, 227, 321,
474, 508, 231, 265, 329, 348, 351, 369, 517, 193, 197, 257, 407, 553,
The computational utility of diluted
connectivity in attractor, pattern association, and competitive
networks in the cerebral cortex (504,
A possible implementation of
syntax in the brain (537,
A higher order syntactic thought (HOST)
to consciousness (239,
398, 422, 432, 456,
493, 497, 525, 618,
A theory of the relation between the mind and the brain utilizing
levels of explanation in which causality operates within but not
between levels (618, 632, 637).
Biological underpinnings of
art and aesthetics (B10, 492, 509,