Literature DB >> 19260197

Beyond reduction: mechanisms, multifield integration and the unity of neuroscience.

Carl F Craver1.   

Abstract

Philosophers of neuroscience have traditionally described interfield integration using reduction models. Such models describe formal inferential relations between theories at different levels. I argue against reduction and for a mechanistic model of interfield integration. According to the mechanistic model, different fields integrate their research by adding constraints on a multilevel description of a mechanism. Mechanistic integration may occur at a given level or in the effort to build a theory that oscillates among several levels. I develop this alternative model using a putative exemplar of reduction in contemporary neuroscience: the relationship between the psychological phenomena of learning and memory and the electrophysiological phenomenon known as Long-Term Potentiation. A new look at this historical episode reveals the relative virtues of the mechanistic model over reduction as an account of interfield integration.

Mesh:

Year:  2005        PMID: 19260197     DOI: 10.1016/j.shpsc.2005.03.008

Source DB:  PubMed          Journal:  Stud Hist Philos Biol Biomed Sci        ISSN: 1369-8486


  8 in total

1.  Memory and the extended mind: embodiment, cognition, and culture.

Authors:  John Sutton
Journal:  Cogn Process       Date:  2005-10-11

Review 2.  Emerging Frontiers of Neuroengineering: A Network Science of Brain Connectivity.

Authors:  Danielle S Bassett; Ankit N Khambhati; Scott T Grafton
Journal:  Annu Rev Biomed Eng       Date:  2017-03-27       Impact factor: 9.590

Review 3.  A Network Neuroscience of Human Learning: Potential to Inform Quantitative Theories of Brain and Behavior.

Authors:  Danielle S Bassett; Marcelo G Mattar
Journal:  Trends Cogn Sci       Date:  2017-03-02       Impact factor: 20.229

Review 4.  Generative models for network neuroscience: prospects and promise.

Authors:  Richard F Betzel; Danielle S Bassett
Journal:  J R Soc Interface       Date:  2017-11-29       Impact factor: 4.118

Review 5.  A network engineering perspective on probing and perturbing cognition with neurofeedback.

Authors:  Danielle S Bassett; Ankit N Khambhati
Journal:  Ann N Y Acad Sci       Date:  2017-04-26       Impact factor: 5.691

Review 6.  A Century of Brain Regeneration Phenomena and Neuromorphological Research Advances, 1890s-1990s-Examining the Practical Implications of Theory Dynamics in Modern Biomedicine.

Authors:  Frank W Stahnisch
Journal:  Front Cell Dev Biol       Date:  2022-01-06

7.  How cognitive neuroscience could be more biological-and what it might learn from clinical neuropsychology.

Authors:  Stefan Frisch
Journal:  Front Hum Neurosci       Date:  2014-07-21       Impact factor: 3.169

8.  Contributions of Neuropsychology to the Study of Ancient Literature.

Authors:  Franco Fabbro; Anastasia Fabbro; Cristiano Crescentini
Journal:  Front Psychol       Date:  2018-06-28
  8 in total

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