Strengthening derivation chains in cognitive neuroscience: A special issue of Cortex

Daniel Mirman; Anne M. Scheel; Anna Lena Schubert; Robert D. McIntosh

doi:10.1016/j.cortex.2021.12.002

Strengthening derivation chains in cognitive neuroscience: A special issue of Cortex

Daniel Mirman^*, Anne M. Scheel, Anna Lena Schubert, Robert D. McIntosh

^*Corresponding author for this work

Research output: Contribution to journal › Editorial › peer-review

Abstract

Cognitive neuroscience aims to understand the relationship between the nervous system and mental processes. This endeavour requires many research tools and approaches, and cooperation and communication across diverse researchers and teams. Bernard Forscher used the metaphor of “chaos in the brickyard” – a proliferation of well-crafted bricks, but of such varied sizes and shapes that there is no way to assemble them into buildings – to illustrate that the mere accumulation of empirical observations does not progress us towards scientific understanding (Forscher, 1963; see also Newell, 1973).

Original language	English
Pages (from-to)	A1-A4
Journal	Cortex
Volume	146
DOIs	https://doi.org/10.1016/j.cortex.2021.12.002
Publication status	Published - 11 Jan 2022

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10.1016/j.cortex.2021.12.002

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@article{2239edb4990f45548bdbb5071e52ba4e,

title = "Strengthening derivation chains in cognitive neuroscience: A special issue of Cortex",

abstract = "Cognitive neuroscience aims to understand the relationship between the nervous system and mental processes. This endeavour requires many research tools and approaches, and cooperation and communication across diverse researchers and teams. Bernard Forscher used the metaphor of “chaos in the brickyard” – a proliferation of well-crafted bricks, but of such varied sizes and shapes that there is no way to assemble them into buildings – to illustrate that the mere accumulation of empirical observations does not progress us towards scientific understanding (Forscher, 1963; see also Newell, 1973).",

author = "Daniel Mirman and Scheel, {Anne M.} and Schubert, {Anna Lena} and McIntosh, {Robert D.}",

note = "Funding Information: We thank Tim Jongenelen for preparing the data for our informal survey of Cortex Research Reports.",

year = "2022",

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doi = "10.1016/j.cortex.2021.12.002",

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TY - JOUR

T1 - Strengthening derivation chains in cognitive neuroscience

T2 - A special issue of Cortex

AU - Mirman, Daniel

AU - Scheel, Anne M.

AU - Schubert, Anna Lena

AU - McIntosh, Robert D.

N1 - Funding Information: We thank Tim Jongenelen for preparing the data for our informal survey of Cortex Research Reports.

PY - 2022/1/11

Y1 - 2022/1/11

N2 - Cognitive neuroscience aims to understand the relationship between the nervous system and mental processes. This endeavour requires many research tools and approaches, and cooperation and communication across diverse researchers and teams. Bernard Forscher used the metaphor of “chaos in the brickyard” – a proliferation of well-crafted bricks, but of such varied sizes and shapes that there is no way to assemble them into buildings – to illustrate that the mere accumulation of empirical observations does not progress us towards scientific understanding (Forscher, 1963; see also Newell, 1973).

AB - Cognitive neuroscience aims to understand the relationship between the nervous system and mental processes. This endeavour requires many research tools and approaches, and cooperation and communication across diverse researchers and teams. Bernard Forscher used the metaphor of “chaos in the brickyard” – a proliferation of well-crafted bricks, but of such varied sizes and shapes that there is no way to assemble them into buildings – to illustrate that the mere accumulation of empirical observations does not progress us towards scientific understanding (Forscher, 1963; see also Newell, 1973).

U2 - 10.1016/j.cortex.2021.12.002

DO - 10.1016/j.cortex.2021.12.002

M3 - Editorial

AN - SCOPUS:85122572547

VL - 146

SP - A1-A4

JO - Cortex

JF - Cortex

SN - 0010-9452

ER -

Strengthening derivation chains in cognitive neuroscience: A special issue of Cortex

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