Meeting the brain on its own terms
Frontiers in Human Neuroscience 815 (8) (2014)
Abstract
In contemporary human brain mapping, it is commonly assumed that the “mind is what the brain does”. Based on that assumption, task-based imaging studies of the last three decades measured differences in brain activity that are thought to reflect the exercise of human mental capacities (e.g., perception, attention, memory). With the advancement of resting state studies, tractography and graph theory in the last decade, however, it became possible to study human brain connectivity without relying on cognitive tasks or constructs. It therefore is currently an open question whether the assumption that “the mind is what the brain does” is an indispensable working hypothesis in human brain mapping. This paper argues that the hypothesis is, in fact, dispensable. If it is dropped, researchers can “meet the brain on its own terms” by searching for new, more adequate concepts to describe human brain organization. Neuroscientists can establish such concepts by conducting exploratory experiments that do not test particular cognitive hypotheses. The paper provides a systematic account of exploratory neuroscientific research that would allow researchers to form new concepts and formulate general principles of brain connectivity, and to combine connectivity studies with manipulation methods to identify neural entities in the brain. These research strategies would be most fruitful if applied to the mesoscopic scale of neuronal assemblies, since the organizational principles at this scale are currently largely unknown. This could help researchers to link microscopic and macroscopic evidence to provide a more comprehensive understanding of the human brain. The paper concludes by comparing this account of exploratory neuroscientific experiments to recent proposals for large-scale, discovery-based studies of human brain connectivity.Author's Profile
DOI
10.3389/fnhum.2014.00815
My notes
Similar books and articles
Principles of brain connectivity organization.Claus C. Hilgetag - 2006 - Behavioral and Brain Sciences 29 (1):18-19.
Neurocontrol: Recent advances and links with the human brain. [REVIEW]Dimitri C. Dracopoulos - 1997 - AI and Society 11 (1-2):63-75.
The brain-mind quiddity: ethical issues in the use of human brain tissue for therapeutic and scientific purposes.L. Burd, J. M. Gregory & J. Kerbeshian - 1998 - Journal of Medical Ethics 24 (2):118-122.
Ecology of the Brain: The Phenomenology and Biology of the Embodied Mind.Thomas Fuchs - 2017 - Oxford, United Kingdom: Oxford University Press.
Discovering the capacity of human memory.Yingxu Wang, Dong Liu & Ying Wang - 2003 - Brain and Mind 4 (2):189-198.
Allometric departures for the human brain provide insights into hominid brain evolution.James K. Rilling - 2001 - Behavioral and Brain Sciences 24 (2):292-293.
Neuronal connectivity, regional differentiation, and brain damage in humans.Dahlia W. Zaidel - 1999 - Behavioral and Brain Sciences 22 (5):854-855.
Functional connectivity in the brain and human intelligence.Vincent J. Schmithorst - 2007 - Behavioral and Brain Sciences 30 (2):169-170.
Impairment and Disability: Law and Ethics at the Beginning and End of Life.Sheila McLean - 2007 - Routledge-Cavendish.
The incomprehensibility of the human brain the most general assumption made in vision research (and neuroscience in general) is that the visual processing can be understood by those who study it. this implies that the functions of part of the human brain are comprehensible by a human brain. I discuss seven distinct reasons why the brain can never be fully understood, and their applicability to the various levels of. [REVIEW]Christopher W. Tyler - 1991 - In A. Gorea (ed.), Representations of Vision. Cambridge University Press. pp. 251.
Through the Looking Glass: Past Futures of Brain Research. [REVIEW]Cornelius Borck - 2009 - Medicine Studies 1 (4):329-338.
Brain simulation and personhood: a concern with the Human Brain Project.Daniel Lim - 2014 - Ethics and Information Technology 16 (2):77-89.
Brain reading.John-Dylan Haynes - 2012 - In Sarah Richmond, Geraint Rees & Sarah J. L. Edwards (eds.), I Know What You're Thinking: Brain Imaging and Mental Privacy. Oxford University Press. pp. 29.
Analytics
Added to PP
2020-10-22
Downloads
162 (#79,307)
6 months
35 (#37,309)
2020-10-22
Downloads
162 (#79,307)
6 months
35 (#37,309)
Historical graph of downloads
Author's Profile
Citations of this work
Beyond cognitive myopia: a patchwork approach to the concept of neural function.Philipp Haueis - 2018 - Synthese 195 (12):5373-5402.
The life of the cortical column: opening the domain of functional architecture of the cortex.Haueis Philipp - 2016 - History and Philosophy of the Life Sciences 38 (3).
Beyond the Platonic Brain: facing the challenge of individual differences in function-structure mapping.Marco Viola - 2020 - Synthese 199 (1-2):2129-2155.
References found in this work
Special sciences (or: The disunity of science as a working hypothesis).J. A. Fodor - 1974 - Synthese 28 (2):97-115.
Neurophilosophy: Toward a Unified Science of the Mind/Brain.Christopher S. Hill & Patricia Smith Churchland - 1988 - Philosophical Review 97 (4):573.
Philosophical Foundations of Neuroscience.M. Bennett & P. M. S. Hacker - 2003 - Philosophy 79 (307):141-146.
Entering new fields: Exploratory uses of experimentation.Friedrich Steinle - 1997 - Philosophy of Science 64 (4):74.