Journal Article10.1007/s11229-022-03522-3
Putting representations to use
4
About: This article is published in Synthese. The article was published on 01 Apr 2022. The article focuses on the topics: Philosophy of language & Representation (politics).
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Investigating the concept of representation in the neural and psychological sciences
Luis H. Favela,Edouard Machery +1 more
TL;DR: The authors found little disciplinary variation in the application of representation and other expressions (e.g., "about" and "carry information") and found that researchers exhibit uncertainty about what sorts of brain activity involve representations or not; they also prefer non-representational, causal characterizations of the brain's response to stimuli.
18
The 21st century engram.
TL;DR: The search for the neural mechanism of memory has been a guiding research project for neuroscience since its emergence as a distinct scientific field as mentioned in this paper , and renewed interest in the engram is clear.
12
Do Retinal Neurons Also Represent Somatosensory Inputs? On Why Neuronal Responses Are Not Sufficient to Determine What Neurons Do
TL;DR: The authors argue that comparing hypotheses according to the extent to which they explain or predict empirical data can lead to absurd results, and that progress in neuroscience critically depends on properly addressing this difficulty.
1
How (and why) to think that the brain is literally a computer
Corey J. Maley
- 24 Aug 2022
TL;DR: In this article , empirical criteria for what makes a physical system genuinely a computational one are presented. And applying those criteria to the brain shows how we can view the brain as a computer (probably an analog one at that), which, in turn, illuminates how that claim is both informative and falsifiable.
References
•Proceedings Article
Gaussian Processes for Regression
Christopher Williams,Carl Edward Rasmussen +1 more
- 27 Nov 1995
TL;DR: This paper investigates the use of Gaussian process priors over functions, which permit the predictive Bayesian analysis for fixed values of hyperparameters to be carried out exactly using matrix operations.
Can cognitive processes be inferred from neuroimaging data
TL;DR: It is argued that cognitive neuroscientists should be circumspect in the use of reverse inference, particularly when selectivity of the region in question cannot be established or is known to be weak.
2.1K
Neurons in the orbitofrontal cortex encode economic value
TL;DR: Neurons in the orbitofrontal cortex (OFC) encode the value of offered and chosen goods during economic choice, suggesting that economic choice is essentially choice between goods rather than choice between actions.
1.6K
Puzzlingly high correlations in fMRI studies of emotion, personality, and social cognition.
TL;DR: It is argued that, in some cases, other analysis problems likely created entirely spurious correlations and the data from these studies could be reanalyzed with unbiased methods to provide accurate estimates of the correlations in question and urge authors to perform such reanalyses.