Opendata, web and dolomites


Developing and delivering neurocomputational models to bridge between brain and mind.

Total Cost €


EC-Contrib. €






Project "BRAIN2MIND_NEUROCOMP" data sheet

The following table provides information about the project.


Organization address
postcode: CB2 1TN

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website
 Total cost 2˙294˙781 €
 EC max contribution 2˙294˙781 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-ADG
 Funding Scheme ERC-ADG
 Starting year 2016
 Duration (year-month-day) from 2016-01-01   to  2020-12-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

The promise of cognitive neuroscience is truly exciting – to link mind and brain in order to reveal the neural basis of higher cognitive functions. This is crucial, scientifically, if we are to understand the nature of mental processes and how they arise from neural machinery but also, clinically, if we are to establish the basis of neurological patients’ impairments, their clinical management and treatment. Cognitive-clinical neuroscience depends on three ingredients: (a) investigating complex mental behaviours and the underlying cognitive processes; (b) mapping neural systems and their function; and (c) methods and tools that can bridge the gap between brain and mental behaviour. Experimental psychology and behavioural neurology has delivered the first component. In vivo neuroimaging and other allied technologies allow us to probe and map neural systems, their connectivity and neurobiological responses. The principal aim of this ERC Advanced grant is to secure, for the first time, the crucial third ingredient – the methods and tools for bridging systematically between cognitive science and systems neuroscience.

The grant will be based on two main activities: (i) convergence of methods – instead of employing each neuroscience and cognitive method independently, they will be planned and executed simultaneously to force a convergence of results; and (ii) development of a new type of neurocomputational model - to provide a novel formalism for bridging between brain and cognition. Computational models are used in cognitive science to mimic normal and impaired behaviour. Such models also have an as-yet untapped potential to connect neuroanatomy and cognition: latent in every model is a kind of brain-mind duality – each model is based on a computational architecture which generates behaviour. We will retain the ability to simulate detailed cognitive behaviour but simultaneously make the models’ architecture reflect systems-level neuroanatomy and function.


year authors and title journal last update
List of publications.
2017 Claude J Bajada, Briony Banks, Matthew A Lambon Ralph, Lauren L Cloutman
Reconnecting with Joseph and Augusta Dejerine: 100 years on
published pages: 2752-2759, ISSN: 0006-8950, DOI: 10.1093/brain/awx225
Brain 140/10 2019-12-17
2019 Natalie Busby, Ajay D. Halai, Geoff J.M. Parker, David J. Coope, Matthew A. Lambon Ralph
Mapping whole brain connectivity changes: The potential impact of different surgical resection approaches for temporal lobe epilepsy
published pages: 1-14, ISSN: 0010-9452, DOI: 10.1016/j.cortex.2018.11.003
Cortex 113 2019-12-17
2018 Marija Tochadse, Ajay D. Halai, Matthew A. Lambon Ralph, Stefanie Abel
Unification of behavioural, computational and neural accounts of word production errors in post-stroke aphasia
published pages: 952-962, ISSN: 2213-1582, DOI: 10.1016/j.nicl.2018.03.031
NeuroImage: Clinical 18 2019-12-17
2018 Grace E. Rice, Paul Hoffman, Richard J. Binney, Matthew A. Lambon Ralph
Concrete versus abstract forms of social concept: an fMRI comparison of knowledge about people versus social terms
published pages: 20170136, ISSN: 0962-8436, DOI: 10.1098/rstb.2017.0136
Philosophical Transactions of the Royal Society B: Biological Sciences 373/1752 2019-12-17
2018 Reem S.W. Alyahya, Ajay D. Halai, Paul Conroy, Matthew A. Lambon Ralph
Noun and verb processing in aphasia: Behavioural profiles and neural correlates
published pages: 215-230, ISSN: 2213-1582, DOI: 10.1016/j.nicl.2018.01.023
NeuroImage: Clinical 18 2019-12-17
2018 Ying Zhao, Matthew A. Lambon Ralph, Ajay D. Halai
Relating resting-state hemodynamic changes to the variable language profiles in post-stroke aphasia
published pages: 611-619, ISSN: 2213-1582, DOI: 10.1016/j.nicl.2018.08.022
NeuroImage: Clinical 20 2019-12-17
2018 Ajay D. Halai, Anna M. Woollams, Matthew A. Lambon Ralph
Triangulation of language-cognitive impairments, naming errors and their neural bases post-stroke
published pages: 465-473, ISSN: 2213-1582, DOI: 10.1016/j.nicl.2017.10.037
NeuroImage: Clinical 17 2019-12-17
2017 Anna M. Woollams, Gaston Madrid, Matthew A. Lambon Ralph
Using neurostimulation to understand the impact of pre-morbid individual differences on post-lesion outcomes
published pages: 12279-12284, ISSN: 0027-8424, DOI: 10.1073/pnas.1707162114
Proceedings of the National Academy of Sciences 114/46 2019-12-17
2018 Ajay D. Halai, Anna M. Woollams, Matthew A. Lambon Ralph
Predicting the pattern and severity of chronic post-stroke language deficits from functionally-partitioned structural lesions
published pages: 1-13, ISSN: 2213-1582, DOI: 10.1016/j.nicl.2018.03.011
NeuroImage: Clinical 19 2019-12-17
2018 Paul Conroy, Christina Sotiropoulou Drosopoulou, Gina F Humphreys, Ajay D Halai, Matthew A Lambon Ralph
Time for a quick word? The striking benefits of training speed and accuracy of word retrieval in post-stroke aphasia
published pages: 1815-1827, ISSN: 0006-8950, DOI: 10.1093/brain/awy087
Brain 141/6 2019-12-17
2018 Anna M. Woollams, Ajay Halai, Matthew A. Lambon Ralph
Mapping the intersection of language and reading: the neural bases of the primary systems hypothesis
published pages: 3769-3786, ISSN: 1863-2653, DOI: 10.1007/s00429-018-1716-z
Brain Structure and Function 223/8 2019-12-17
2018 Grace E Rice, Helen Caswell, Perry Moore, Matthew A Lambon Ralph, Paul Hoffman
Revealing the Dynamic Modulations That Underpin a Resilient Neural Network for Semantic Cognition: An fMRI Investigation in Patients With Anterior Temporal Lobe Resection
published pages: 3004-3016, ISSN: 1047-3211, DOI: 10.1093/cercor/bhy116
Cerebral Cortex 28/8 2019-12-17
2018 Reem S.W. Alyahya, Ajay D. Halai, Paul Conroy, Matthew A. Lambon Ralph
The behavioural patterns and neural correlates of concrete and abstract verb processing in aphasia: A novel verb semantic battery
published pages: 811-825, ISSN: 2213-1582, DOI: 10.1016/j.nicl.2017.12.009
NeuroImage: Clinical 17 2019-12-17

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