scispace - formally typeset
T

Trevor W. Robbins

Researcher at University of Cambridge

Publications -  1184
Citations -  177352

Trevor W. Robbins is an academic researcher from University of Cambridge. The author has contributed to research in topics: Prefrontal cortex & Cognition. The author has an hindex of 231, co-authored 1137 publications receiving 164437 citations. Previous affiliations of Trevor W. Robbins include Centre national de la recherche scientifique & Massachusetts Institute of Technology.

Papers
More filters
Journal ArticleDOI

Contrasting effects of systemic and intracerebral infusions of the 5-HT1A receptor agonist 8-OH-DPAT on spatial short-term working memory in rats.

TL;DR: A dissociation between the effects of stimulation of pre- and post-synaptic 5-HT1A receptors on performance of a DNMP task is demonstrated although the changes in performance cannot be accounted for by changes in mnemonic function.
Journal ArticleDOI

The effects of nucleus accumbens core and shell lesions on intravenous heroin self-administration and the acquisition of drug-seeking behaviour under a second-order schedule of heroin reinforcement

TL;DR: Results indicate an important role for the core of the NAcc in the acquisition of heroin-seeking behaviour under the control of drug-associated stimuli.
Journal ArticleDOI

Role of central noradrenaline neurons in the contextual control of latent inhibition in taste aversion learning.

TL;DR: The results, demonstrating the intimate role of central NA neurons in contextual control of latent inhibition in taste-aversion learning, appear to conform with current attentional theories of NA function in the forebrain.
Journal ArticleDOI

Comparative effects of excitotoxic lesions of the hippocampus and septum/diagonal band on conditional visual discrimination and spatial learning.

TL;DR: It is concluded that additional cholinergic de-afferentation of the cingulate cortex produced by the septal/VDB lesion is of functional significance and may lead to deficits in conditional rule learning, which can contribute to spatial navigation performance under certain circumstances.