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Edmund T. Rolls

Researcher at University of Warwick

Publications -  645
Citations -  84442

Edmund T. Rolls is an academic researcher from University of Warwick. The author has contributed to research in topics: Orbitofrontal cortex & Visual cortex. The author has an hindex of 153, co-authored 612 publications receiving 77928 citations. Previous affiliations of Edmund T. Rolls include Fudan University & Newcastle University.

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Journal ArticleDOI

Prediction of subjective affective state from brain activations.

TL;DR: Decoding and information theoretic techniques were used to analyze the predictions that can be made from functional magnetic resonance neuroimaging data on individual trials, finding that subjective pleasantness produced by warm and cold applied to the hand could be predicted on single trials with typically in the range 60-80% correct.
Proceedings ArticleDOI

Functions of the primate temporal lobe cortical visual areas in invariant visual object and face recognition

TL;DR: The author has worked on some of the investigations described here with P. Azzopardi, G. C. Hasselmo, C. M. Leonard, T. I. Perrett, S. Stringer, M. J. Tovee, A. Treves, and G. Wallis.
Journal ArticleDOI

Componential Granger causality, and its application to identifying the source and mechanisms of the top–down biased activation that controls attention to affective vs sensory processing

TL;DR: Componential Granger causality not only can reveal the directionality of effects between areas, but also allows the mechanisms to be understood in terms of whether the causal influence of one system on another depends on the state of the system being causally influenced.
Journal Article

The neurophysiology of feeding.

TL;DR: Investigations in non-human primates have provided evidence that the lateral hypothalamus and adjoining substantia innominata are involved in the control of feeding, for there is a population of neurons in these regions which respond to the sight and/or taste of food if the organism is hungry.
Journal ArticleDOI

Sequential Memory: A Putative Neural and Synaptic Dynamical Mechanism

TL;DR: It is shown that the short-term memory for a sequence of items can be implemented in an autoassociation neural network and uses adaptation rather than associative synaptic modification to recall the order of the items in a recently presented sequence.