Noise in the World
Bibliographic Data
| ID | 10705010 |
|---|---|
| Authors | Jim Bogen (corresponding author) |
| Year | 2010 |
| Volume | 77 |
| Issue | 5 |
| Pages | 778-791 |
| Publication date | 2010-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Philosophy of Science (JOURNAL) |
| Journal identifiers | ISSN: 0031-8248 • E-ISSN: 1539-767X |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1086/656006 |
| OpenAlex | W2175285366 |
| Language | EN |
| Citations received | 9 |
| References cited | 7 |
This essay uses Györgi Buzsáki's use of EEG data to draw conclusions about brain function as an example to show that investigators sometimes draw conclusions from noisy data by analyzing the noise rather than by extracting a signal from it. The example makes vivid some important differences between McAllister's, Woodward's, and my ideas about how data are interpreted
Cognitive science · Function (biology) · Noise (video) · SIGNAL (programming language) · Artificial Intelligence · Computer Science · Neural dynamics and brain function · Philosophy and History of Science · Psychology
How autism shows that symptoms, like psychiatric diagnoses, are 'constructed
Noise and mechanisms
The Ontology of Patterns in Empirical Data
Observations, Experiments, and Arguments for Epistemic Superiority in Scientific Methodology
Data Can Be Underdetermined, Too
What Counts as Scientific Data? A Relational Framework
Experimental Artefacts
Cognitive Variation
Exploring the data turn of philosophy of language in the era of big data
| Unique citing works | 9 |
|---|---|
| Citations per year | 0,56 |
| Citation span | 2010 - 2025 (16) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 9 |