Dr. James C.R. Whittington – Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK
https://www.jcrwhittington.com
https://scholar.google.co.uk/citations?user=zUu0JKYAAAAJ&hl=en
Prof. Maneesh Sahani, Ph.D.
Professor of Theoretical Neuroscience and Machine Learning,
Director, Gatsby Computational Neuroscience Unit
Topics: Theoretical Neuroscience and Machine Learning
Maneesh Sahani is Professor of Theoretical Neuroscience and Machine Learning at the Gatsby Computational Neuroscience Unit at University College London (UCL). Graduating with a B.S. in physics from Caltech, he stayed to earn his Ph.D. in the Computation and Neural Systems program, supervised by Richard Andersen and John Hopfield. After periods of postdoctoral work at the Gatsby Unit and the University of California, San Francisco, he returned to the faculty at Gatsby in 2004 and was elected to a personal chair at UCL in 2013. His work spans the interface of the fields of machine learning and neuroscience, with particular emphasis on the types of computation achieved within the sensory and motor cortical systems. He has helped to pioneer analytic methods which seek to characterize and visualize the dynamical computational processes that underlie the measured joint activity of populations of neurons. He has also worked on the link between the statistics of the environment and neural computation, machine-learning based signal processing, and neural implementations of Bayesian and approximate inference.
https://www.gatsby.ucl.ac.uk/~maneesh/
Dr. Rosalyn Moran, Department of Neuroimaging, King’s College London, UK
The research in the Moran Lab focuses on computational neuroscience, computational psychiatry and computational neurology. In particular, the Moran Lab aims to join together brain connectivity analysis with their algorithmic role; i.e. what information brain connections relay. This work lies at the intersection of artificial intelligence (deep networks), Bayesian inference (variational principles) and experimental neurobiology (cognitive tasks in the scanner). Of particular interest are the role of families of neurotransmitters, such as noradrenaline, dopamine and serotonin, in prediction errors and model-based decision making. The Moran Lab uses the free energy principle as a principle to develop new methods in artificial intelligence and in disease modeling, focusing on age-related neurodegenerative disease and schizophrenia. Dr. Moran also serves as an editor for the Neuroimage and Neuroimage Clinical journals.
https://www.kcl.ac.uk/people/rosalyn-moran
https://kclpure.kcl.ac.uk/portal/rosalyn.moran.html
Prof. Matthew Botvinick
Director of Neuroscience Research and Team Lead in AGI Research, DeepMind
Honorary Professor, Gatsby Computational Neuroscience Unit, UCL
Matthew Botvinick is Director of Neuroscience Research at DeepMind and Honorary Professor at the Gatsby Computational Neuroscience Unit at University College London. Dr. Botvinick completed his undergraduate studies at Stanford University in 1989 and medical studies at Cornell University in 1994, before completing a PhD in psychology and cognitive neuroscience at Carnegie Mellon University in 2001. He served as Assistant Professor of Psychiatry and Psychology at the University of Pennsylvania until 2007 and Professor of Psychology and Neuroscience at Princeton University until joining DeepMind in 2016. Dr. Botvinick’s work at DeepMind straddles the boundaries between cognitive psychology, computational and experimental neuroscience and artificial intelligence.
https://deepmind.com/research?filters=%7B%22authors%22:%5B%225734346425630720%22%5D%7D
Prof. Timothy Behrens, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
Professor of Computational Neuroscience
Timothy E.J. Behrens FRS is a British neuroscientist. He is Deputy Director of the Wellcome Centre for Integrative Neuroscience and Professor of Computational Neuroscience at the University of Oxford, and Honorary Lecturer, Wellcome Centre for Imaging Neuroscience, University College London. He earned an M.Eng. and a D.Phil. from the University of Oxford. In 2020 he won the UK Life Sciences Blavatnik Award for Young Scientists, having been a finalist for this award in 2018 and 2019. He was elected a Fellow of the Royal Society in the same year.
https://en.wikipedia.org/wiki/Timothy_Behrens_(neuroscientist)
Prof. Karl Friston, FMedSci FRSB FRS
Wellcome Principal Research Fellow and Scientific Director
Wellcome Trust Centre for Neuroimaging
Professor: Institute of Neurology, University College London
Honorary Consultant: The National Hospital for Neurology and Neurosurgery, UK
Karl Friston is a theoretical neuroscientist and authority on brain imaging. He invented statistical parametric mapping (SPM), voxel-based morphometry (VBM) and dynamic causal modelling (DCM). These contributions were motivated by schizophrenia research and theoretical studies of value-learning, formulated as the dysconnection hypothesis of schizophrenia. Mathematical contributions include variational Laplacian procedures and generalized filtering for hierarchical Bayesian model inversion. Friston currently works on models of functional integration in the human brain and the principles that underlie neuronal interactions. His main contribution to theoretical neurobiology is a free-energy principle for action and perception (active inference). Friston received the first Young Investigators Award in Human Brain Mapping (1996) and was elected a Fellow of the Academy of Medical Sciences (1999). In 2000 he was President of the international Organization of Human Brain Mapping. In 2003 he was awarded the Minerva Golden Brain Award and was elected a Fellow of the Royal Society in 2006. In 2008 he received a Medal, College de France and an Honorary Doctorate from the University of York in 2011. He became of Fellow of the Royal Society of Biology in 2012, received the Weldon Memorial prize and Medal in 2013 for contributions to mathematical biology and was elected as a member of EMBO (excellence in the life sciences) in 2014 and the Academia Europaea in (2015). He was the 2016 recipient of the Charles Branch Award for unparalleled breakthroughs in Brain Research and the Glass Brain Award – a lifetime achievement award in the field of human brain mapping. He holds Honorary Doctorates from the University of Zurich and Radboud University.
https://www.fil.ion.ucl.ac.uk/~karl/
https://en.wikipedia.org/wiki/Karl_J._Friston
Prof. Claudia Clopath, Professor of Computational Neuroscience
Computational Neuroscience Laboratory, Department of Bioengineering, Faculty of Engineering, Imperial College London, UK
https://www.imperial.ac.uk/people/c.clopath
http://www.bg.ic.ac.uk/research/c.clopath/
Professor Claudia Clopath is based in the Bioengineering Department at Imperial College London. She is heading the Computational Neuroscience Laboratory.
Her research interests are in the field of neuroscience, especially insofar as it addresses the questions of learning and memory. She uses mathematical and computational tools to model synaptic plasticity, and to study its functional implications in artificial neural networks.
Prof. Clopath holds an MSc in Physics from the EPFL and did her PhD in Computer Science under Wulfram Gerstner. Before joining Imperial College, she did postdoctoral fellowships in neuroscience with Nicolas Brunel at Paris Descartes and in the Center for Theoretical Neuroscience at Columbia University. She published highly cited articles in top journals such as Science and Nature, has given dozens of invited talks and keynotes around the world, and received various prizes such as the Google Faculty Award in 2015.
ACAIN 2021 has been postponed (October 5-8, 2021 @ Wordsworth Hotel in Grasmere) due to the ongoing, and dynamic, situation relating to the Coronavirus (COVID-19).
The new dates are the following: from October 5-8, 2021
Venue: The Wordsworth Hotel & SPA in Grasmere – Lake District, England, UK
We appreciate your patience and understanding as we work to get all of the information together.
We will publish additional details (in this web site) as soon as they are available.
We are really proud to announce that the ACAIN 2021 International Symposium Proceedings will be published by Springer.
Papers will appear in a volume of the Lecture Notes in Computer Science (LNCS) – Lecture Notes in Artificial Intelligence (LNAI) series.